About The Event
The AI Hardware Summit is the premier commercial event focused on systems-first machine learning.
Our community’s goal is to reduce time-to-value in the ML lifecycle, and to unlock new possibilities for AI development. This involves a full-stack effort of efficient operationalization of AI in organizations, productionization of models, tight hw/sw co-design and best-in-class microarchitectures.
We are creating a feedback loop between those designing AI systems and those using them, to accelerate the development and adoption of AI technologies across industries.
This year, for the first time, we will be co-located with Edge AI Summit. Attendees to AI Hardware Summit can purchase a pass to Edge AI Summit for only $500 (and receive complimentary access to all presentations from the 2022 AI Systems Summit:Research) - find out more and register here! PLUS, we have exclusive group booking discounts available!
Confirmed Speakers
Alexis Black Bjorlin
Dr. Alexis Black Bjorlin is VP, Infrastructure Hardware Engineering at Meta. She also serves on the board of directors at Digital Realty and Celestial AI. Prior to Meta, Dr. Bjorlin was Senior Vice President and General Manager of Broadcom’s Optical Systems Division and previously Corporate Vice President of the Data Center Group and General Manager of the Connectivity Group at Intel. Prior to Intel, she spent eight years as President of Source Photonics, where she also served on the board of directors. She earned a B.S. in Materials Science and Engineering from Massachusetts Institute of Technology and a Ph.D. in Materials Science from the University of California at Santa Barbara.
Mark Russinovich
Mark Russinovich is Chief Technology Officer of Microsoft Azure, where he oversees the technical strategy and architecture of Microsoft’s cloud computing platform. He is a widely recognized expert in distributed systems, operating system internals, and cybersecurity. He is the author of the Jeff Aiken cyberthriller novels, Zero Day, Trojan Horse, and Rogue Code, and co-author of the Microsoft Press Windows Internals books. Russinovich joined Microsoft in 2006 when Microsoft acquired Winternals Software, the company he cofounded in 1996, as well as Sysinternals, where he authors and publishes dozens of popular Windows administration and diagnostic utilities. He is a featured speaker at major industry conferences, including Microsoft Ignite, Microsoft //build, RSA Conference, and more.
Sassine Ghazi
Sassine Ghazi leads and drives strategy for all business units, sales and customer success, strategic alliances, marketing and communications at Synopsys. He joined the company in 1998 as an applications engineer. He then held a series of sales positions with increasing responsibility, culminating in leadership of worldwide strategic accounts. He was then appointed general manager for all digital and custom products, the largest business group in Synopsys. Under his leadership, several innovative solutions were launched in areas such as multi-die systems, AI-assisted design and silicon lifecycle management. He assumed the role of chief operating officer in August, 2020 and was appointed to the role of president in November 2021. Prior to Synopsys he was a design engineer at Intel.
Sassine holds a bachelor’s degree in Business Administration from Lebanese American University; a B.S.E.E from the Georgia Institute of Technology and an M.S.E.E. from the University of Tennessee.
Victor Peng
Victor Peng is President of the Adaptive and Embedded Computing group at AMD. He is responsible for AMD’s Adaptive SmartNIC, FPGA, Adaptive SoC, embedded CPU, and embedded APU business that serve multiple market segments including the data center, communications, automotive, industrial, A&D, healthcare, test/measure/emulation, and other embedded markets. Peng also serves on the board of KLA Corporation.
Peng rejoined AMD in 2022 after 14 years at Xilinx, most recently serving as president and CEO. Prior to joining Xilinx, Peng worked at AMD as corporate vice president of silicon engineering for the graphics products group (GPG) and was the co-leader of the central silicon engineering team supporting graphics, game console products, and CPU chipsets. Prior to that, Peng held executive and engineering leadership roles at ATI, TZero Technologies, MIPS Technologies, SGI, and Digital Equipment Corp.
Joseph Sawicki
Joseph Sawicki is a leading expert in IC nanometer design and manufacturing challenges. Formerly responsible for Mentor's industry-leading design-to-silicon products, including the Calibre physical verification and DFM platform and Mentor's Tessent design-for-test product line, Sawicki now oversees all business units in the Siemens EDA IC segment.
Sawicki joined Mentor Graphics in 1990 and has held previous positions in applications engineering, sales, marketing, and management. He holds a BSEE from the University of Rochester, an MBA from Northeastern University's High Technology Program, and has completed the Harvard Business School Advanced Management Program.
Judy Priest
Judy Priest is a Distinguished Engineer in Microsoft's Cloud and AI Group. She drives innovation, integration, and operations in next generation Data Center platforms supporting Azure, AI, and MS's Enterprise software. Judy has over 25 years of experience in developing data centers systems and silicon, high speed signaling technologies and optics, circuit design, and physical architectures for compute, storage, graphics, and networking.
Judy has previously worked at Cisco Systems, Silicon Graphics, Hewlett-Packard, and Digital Equipment Corporation, as well as two startup ventures. She serves on the Board of Directors for Women's Audio Mission, a local SF nonprofit moving the needle for girls, women, and GNC individuals in STEM through music. Judy was awarded Business Insider's 2018 Most Powerful Female Engineers and InterCon Networking's 2020 Top 100 Leaders in Engineering.
Lip-Bu Tan
Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco.
Lin Qiao
Lin is an engineering director leading the development of PyTorch, AI compilers, and on-device AI platforms at Facebook. She drove AI research to production innovations across hardware acceleration, enabling model exploration and model scale, building production ecosystem and platforms for on-device and privacy-preserving AI. She received a Ph.D. in computer science, started her career as a researcher in Almaden Research Lab, and later moved to the industry as an engineer. Prior to Facebook, she worked on a broad range of distributed and data processing domains, from high-performance columnar databases, OLTP systems, streaming processing systems, data warehouse systems, and logging and metrics platforms.
Dr. Caiming Xiong
Dr. Caiming Xiong is VP of AI Research and Applied AI at Salesforce. Dr. Xiong holds a Ph.D. from the department of Computer Science and Engineering, University at Buffalo, SUNY and worked as a Postdoctoral Researcher Scholar at the University of California, Los Angeles (UCLA).
Divya Jain
Divya Jain is an industry recognized product and technology leader in machine learning and AI. She has 15+ years of industry experience at various startups and Fortune 500 companies. She is currently serving as an Engineering Director for Sensei ML platform at Adobe. Before this she was a Research Director at Tyco Innovation Garage and led various deep learning initiatives in video surveillance space. She also co-founded a startup, dLoop Inc., which was acquired by Box in 2013. At Box, Divya led the team that built the first machine learning capabilities into the Box platform. She is very passionate about open sharing of knowledge and information and always working towards abridging technology gap for product innovation.
Colin Murdoch
Decades of international commercial experience and deep technical expertise mean Colin is uniquely placed to ensure DeepMind’s cutting-edge research benefits as many people as possible. As Chief Business Officer of DeepMind, he oversees a wide-range of teams including Applied, which applies research breakthroughs to Google products and infrastructure used by billions of people. He also helps drive the growth of DeepMind, building and leading critical functions including finance and strategy and leading external and commercial partnerships. Originally an electronics and software engineer, he has held senior positions at both start-ups and global companies such as Thomson Reuters, helping them solve their own complex, mission-critical, real-world challenges.
Daniel Wu
Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.
Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years.
Dan McCreary
Dan is a distinguished engineer in AI working on innovative database architectures including document and graph databases. He has a strong background in semantics, ontologies, NLP and search. He is a hands-on architect and like to build his own pilot applications using new technologies. Dan started the NoSQL Now! Conference (now called the Database Now! Conferences). He also co-authored the book Making Sense of NoSQL, one of the highest rated books on Amazon on the topic of NoSQL. Dan worked at Bell Labs as a VLSI circuit designer where he worked with Brian Kernighan (of K&R C). Dan also worked with Steve Jobs at NeXT Computer.
Hooman Sedghamiz
Hooman Sedghamiz is Director of AI & ML at Bayer. He has lead algorithm development and generated valuable insights to improve medical products ranging from implantable, wearable medical and imaging devices to bioinformatics and pharmaceutical products for a variety of multinational medical companies.
He has lead projects, data science teams and developed algorithms for closed loop active medical implants (e.g. Pacemakers, cochlear and retinal implants) as well as advanced computational biology to study the time evolution of cellular networks associated with cancer , depression and other illnesses.
His experience in healthcare also extends to image processing for Computer Tomography (CT), iX-Ray (Interventional X-Ray) as well as signal processing of physiological signals such as ECG, EMG, EEG and ACC.
Recently, his team has been working on cutting edge natural language processing and developed cutting edge models to address the healthcare challenges dealing with textual data.
Phil Brown
Phil leads Graphcore’s efforts to build large scale AI/ML processing capability using Graphcore unique Intelligence Processing Units (IPUs) and IPU-Fabric and Streaming Memory technology. Previously he has held a number of different roles at Graphcore including Director of Applications, leading development of Graphcore’s flagship AL/ML models, and Director of Field Engineering, which acts as the focal point for technical engagements with our customers. Prior to joining Graphcore, Phil worked for Cray Inc. in a number of roles, including leading their engagement with the weather forecasting and climate research customers worldwide and as a technical architect. Phil holds a PhD in Computational Chemistry from the University of Bristol.
Selcuk Kopru
Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.
Cedric Bourrasset
Dr. Cedric Bourrasset is AI Business Leader for High Performance Computing Business Unit at Atos. He is also AI product manager for the Atos Codex AI suite, software enabling AI workloads into HPC environments as well as integrating a computer vision solution. He joined Atos in 2016 as an expert in the HPC/AI domain.
Previously, Cedric received his Ph.D. in Electronics and computer vision from the Blaise Pascal University of Clermont-Ferrand defending the dataflow model of computation for FPGA High Level Synthesis problematic in embedded machine learning applications.
Kunle Olukotun
Kunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a renowned pioneer in multi-core processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project.
Prior to SambaNova Systems, Olukotun founded Afara Websystems to develop high-throughput, low-power multi-core processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle’s SPARC-based servers.
Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics for What’s Next (DAWN) Lab, developing infrastructure for usable machine learning.
Olukotun is an ACM Fellow and IEEE Fellow for contributions to multiprocessors on a chip and multi-threaded processor design. Olukotun recently won the prestigious IEEE Computer Society’s Harry H. Goode Memorial Award and was also elected to the National Academy of Engineering—one of the highest professional distinctions accorded to an engineer.
Kunle received his Ph.D. in Computer Engineering from The University of Michigan.
Xiaoyong Liu
Gordon Wilson
Yvonne Lutsch
Yvonne is an Investment Principal at Robert Bosch Venture Capital’s (RBVC) affiliate office located in Sunnyvale, responsible for sourcing, evaluating and executing investments for RBVC in North America in deep tech fields like Machine Learning/AI, Edge Computing, Industrial IoT, Mobility, Quantum Computing, or Sensors. She is an investor / non-executive board member at RBVC’s portfolio companies InSyte Systems, Syntiant, Zapata Computing, and UltraSense Systems. Prior to this position Yvonne was Director of Technology Scouting and Business Development for Bosch Automotive Electronics building up an Innovation Center for the division in North America. Prior to that, Yvonne held different leadership positions in Quality Management, Operations and Engineering in Automotive and Consumer Electronics with Bosch in Germany. Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.
Andrew Feldman
Andrew is a co-founder and CEO of Cerebras Systems, a venture-backed stealth-mode startup located in Los Altos, California. He leads a team of phenomenal people with a track record of building products that profoundly changed the largest markets in tech.
Prior to co-founding Cerebras Systems, he was co-founder and CEO of SeaMicro. SeaMicro (acquired by AMD for $355 million) was the pioneer in low power server technology. SeaMicro changed the trajectory of the server industry by inventing the high density, lower power, microserver category.
Prior to co-founding SeaMicro, he was Vice President of Marketing and Product Management at Force10 (acquired by Dell for $800 Million) Networks, and Vice President of Corporate Marketing and Corporate Development for Riverstone Networks (NASDAQ: RSTN) from inception through IPO.
Andrew holds a B.A. and MBA from Stanford University.
Gayathri Radhakrishnan
Gayathri Radhakrishnan is currently part of the investment team at Micron Ventures, investing from $100M AI fund. She invests in startups that are leveraging AI/ML to solve critical problems in the areas of Manufacturing, Healthcare, Automotive and AgTech. Prior to that, she brings 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow.
Jeff Boudier
Jeff Boudier is a product director at Hugging Face, creator of Transformers, the leading open-source NLP library. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development and Corporate Development.
Cade Metz
Cade Metz is a reporter with The New York Times, covering artificial intelligence, driverless cars, robotics, virtual reality, and other emerging areas. Genius Makers is his first book. Previously, he was a senior staff writer with Wired magazine and the U.S. editor of The Register, one of Britain’s leading science and technology news sites.
A native of North Carolina and a graduate of Duke University, Metz, 48, works in The New York Times’ San Francisco bureau and lives across the bay with his wife Taylor and two daughters.
Carole-Jean Wu
Carole-Jean Wu is a Research Scientist at Facebook AI Research. Her research focuses on designing systems for at-scale execution of machine learning, such as personalized recommender systems and for mobile deployment. More generally, her research interests are in computer architecture with particular focus on energy- and memory-efficient systems. Carole-Jean chairs MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference. She received her M.A. and Ph.D. from Princeton and B.Sc. from Cornell. She holds tenure from ASU and is the recipient of the NSF CAREER Award, Facebook AI Infrastructure Mentorship Award, the IEEE Young Engineer of the Year Award, the Science Foundation Arizona Bisgrove Early Career Scholarship, and the Intel PhD Fellowship, among a number of Best Paper awards.
Steven Woo
I was drawn to Rambus to focus on cutting edge computing technologies. Throughout my 15+ year career, I’ve helped invent, create and develop means of driving and extending performance in both hardware and software solutions. At Rambus, we are solving challenges that are completely new to the industry and occur as a response to deployments that are highly sophisticated and advanced.
As an inventor, I find myself approaching a challenge like a room filled with 100,000 pieces of a puzzle where it is my job to figure out how they all go together – without knowing what it is supposed to look like in the end. For me, the job of finishing the puzzle is as enjoyable as the actual process of coming up with a new, innovative solution.
For example, RDRAM®, our first mainstream memory architecture, implemented in hundreds of millions of consumer, computing and networking products from leading electronics companies including Cisco, Dell, Hitachi, HP, Intel, etc. We did a lot of novel things that required inventiveness – we pushed the envelope and created state of the art performance without making actual changes to the infrastructure.
I’m excited about the new opportunities as computing is becoming more and more pervasive in our everyday lives. With a world full of data, my job and my fellow inventors’ job will be to stay curious, maintain an inquisitive approach and create solutions that are technologically superior and that seamlessly intertwine with our daily lives.
After an inspiring work day at Rambus, I enjoy spending time with my family, being outdoors, swimming, and reading.
Education
- Ph.D., Electrical Engineering, Stanford University
- M.S. Electrical Engineering, Stanford University
- Master of Engineering, Harvey Mudd College
- B.S. Engineering, Harvey Mudd College
Sakyasingha Dasgupta
Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.
After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.
Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here
Morteza Noshad
Karl Freund
Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.
Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.
Accomplishments during his career include:
- Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
- Created an industry-wide thought leadership position for Calxeda in the ARM Server market
- Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
- Built the IBM Power Server brand from 14% market share to over 50% share
- Integrated the Tivoli brand into the IBM company’s branding and marketing organization
- Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition
Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).
Harshit Khaitan
Harshit Khaitan is the Director of AI Accelerator at Meta where he leads building AI Accelerators for Reality labs products. Prior to Meta, he was technical lead and co-founder for the Edge Machine learning accelerators at Google, responsible for MLA in Google Pixel 4 (Neural Core) and Pixel 6 (Google Tensor SoC). He has also held individual and technical leadership positions at Google’s first Cloud TPU, Nvidia Tegra SoCs and Nvidia GPUs. He has 10+ US and international patents in On-device AI acceleration. He has a Master’s degree in Computer Engineering from North Carolina State University and a Bachelor’s degree in Electrical Engineering from Manipal Institute of Technology, India.
Weifeng Zhang
Weifeng Zhang is the Chief Scientist of Heterogeneous Computing at Alibaba Cloud Infrastructure, responsible for performance optimization of large scale distributed applications at the data centers. Weifeng also leads the effort to build the acceleration platform for various ML workloads via heterogeneous resource pooling based on the compiler technology. Prior to joining Alibaba, Weifeng was a Director of Engineering at Qualcomm Inc, focusing on GPU compiler and performance optimizations. Weifeng received his B.Sc. from Wuhan University, China and PhD in Computer Science from University of California, San Diego.
Marshall Choy
Marshall Choy is Senior Vice President of Product at SambaNova Systems and is responsible for product management and go-to-market operations. Marshall has extensive experience leading global organizations to bring breakthrough products to market, establish new market presences, and grow new and existing lines of business. Marshall was previously Vice President of Product Management at Oracle until 2018. He was responsible for the portfolio and strategy for Oracle Systems products and solutions. He led teams that delivered comprehensive end-to-end hardware and software solutions and product management operations. Prior to joining Oracle in 2010 when it acquired Sun Microsystems, he served as Director of Engineered Solutions at Sun. During his 11 years there, Marshall held various positions in development, information technology, and marketing.
Supriya Gupta
As Credit Karma’s head of Recommendations, Supriya is charged with personalizing the Credit Karma app experience for the company’s more than 120 million members. When she joined the team more than three years ago, Supriya oversaw the transformation of the company’s recommendations engine into a dynamic and personalized deep-learning based system that leverages data and machine learning to deliver tailored recommendations and offers to our members. This means members are served financial products, tools and recommendations at the right time, and that best adhere to their financial goals and ambitions. Under Supriya’s leadership, Credit Karma’s recommendations system has significantly grown and transformed over the years, and her team is doing more than 35 billion model predictions each day. Today, her business unit partners with nearly every team at Credit Karma and drives a significant portion of revenue for the business. Prior to joining Credit Karma, Supriya worked in product at Facebook, where she led product strategy and development for a number of ads products. Supriya holds a B.S. and M.S. in Electrical Engineering from the University of Illinois, and a M.B.A. from The Wharton School of the University of Pennsylvania.
Vishu Ram
As VP of Data Science and Engineering at Credit Karma, Vishnu has been instrumental in building and scaling Credit Karma’s machine learning infrastructure, powering personalized recommendations at scale, in pursuit of helping its 120 million members make financial progress. Having been with Credit Karma for nearly eight years, Vishnu has led development strategy and implementation of the company’s deep-learning based system comprised of an internally built machine learning platform that helps the Credit Karma transform and manage data at scale. His team runs 35 billion model predictions a day and is tasked with building sophisticated models to boost platform innovation in order to deliver an optimized product experience for Credit Karma’s 120 million members. Prior to joining Credit Karma, Vishnu held CTO roles at Nykaa and Games24x7.
Stelios Diamantidis
Stelios heads Synopsys' AI Solutions team in the Office of the President, where he researches and applies innovative machine-learning technology to address systemic complexity in the design and manufacturing of integrated computational systems. In 2020, Stelios launched DSO.ai™, the world’s first autonomous AI application for chip design. He has more than 20 years of experience in chip design and EDA software and has founded two companies in this space. Stelios holds an M.S. Electrical Engineering from Stanford University, California.
Luis Ceze
Luis Ceze is Co-founder and CEO at OctoML, Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, and Venture Partner at Madrona Venture Group. His research focuses on the intersection between computer architecture, programming languages, machine learning and biology. His current focus is on approximate computing for efficient machine learning andDNA-based data storage. He co-directs the Molecular Information Systems Lab (MISL), the Systems and Architectures for Machine Learning lab (SAMPL) and the Sampa Lab for HW/SW co-design. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, the IEEE TCCA young Computer Architect Award and UIUC Distinguished Alumni Award.
Kim Hazelwood
Kim Hazelwood is an engineering leader whose expertise lies at the intersection of scalable computer systems and applied machine learning. Her roles at Meta have included multiple engineering organizational leadership roles across Infrastructure and Research. Prior to Facebook, Kim held positions including Director of Research at Yahoo Labs, Software Engineer in the datacenter division of Google, Research Scientist at Intel, and tenured Associate Professor of Computer Science at the University of Virginia. Kim holds a PhD in Computer Science from Harvard University and has authored over 50 publications and one book. She is a recipient of the MIT "Top 35 Innovators under 35" award, the ACM SIGPLAN "Test of Time" Award, the Anita Borg Early Career Award, and an NSF Career Award. She currently serves on the Board of Directors for the Computing Research Association.
John Min
John Min is the Director of Field Applications Engineering for North America at Andes. John has been working for processor companies in the Silicon Valley for past 30 years with companies including at Hewlett Packard, LG, ARC, MIPS and SiFive. He brings wealth of information on Architecture of processors, IP and high performance processing. John specializes in balancing the Power, Area and Performance to yield optimized SoC. John is a graduate of University of Southern California with degrees in Electrical Engineering and Biomedical Engineering.
Carlos Guestrin
Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi. Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.
Ravi Narayanaswami
Girish Venkataramani
Moshe Tanach
Patrick Roos
Patrick Roos is Chief Data Scientist for Atos zData. Patrick brings nearly two decades of industry and research experience in Data Science and AI, with most of this time spent in the services industry synergizing AI/ML efforts with business needs. His educational background combined with his experience in delivering solutions for a diverse range of start-ups to Fortune 500 companies provide him with the technical, scientific, and business knowledge to successfully leverage analytics technologies to provide business value. As a proven team leader with a pragmatic but thoughtful approach to team management and problem solving, he has led the ideation, scoping, design, and execution of solutions spanning a vast great variety of application domains. Patrick received his PhD and MS in Computer Science in the Artificial Intelligence group at the University of Maryland, College Park, and his BS in Data Science from the College of Charleston.
Uzi Baruch
Uzi brings nearly twenty years of experience in managing R&D teams and high scale projects at leading, global hi-tech companies. Prior to joining proteanTecs, he held executive roles at Optimal+, first as VP of R&D, where he had been instrumental in driving the company’s big data offering, enabling customers to innovate manufacturing through a data-centric approach. Beginning of 2019, Uzi assumed the lead of Optimal’s new growth business, and led the sales and delivery groups of Optimal+ Automotive and Electronics business unit until the acquisition of the company by National Instruments. Before joining Optimal+, Uzi served as VP of R&D in the Enterprise Group at NICE.
Dr. Charles Fan
Charles Fan is CEO and co-founder of MemVerge. Prior to MemVerge, Charles was the CTO of Cheetah Mobile leading its global technology teams, and an SVP/GM at VMware, founding the storage business unit that developed the Virtual SAN product. Charles also worked at EMC and was the founder of the EMC China R&D Center. Charles joined EMC via the acquisition of Rainfinity, where he was a co-founder and CTO. Charles received his Ph.D. and M.S. in Electrical Engineering from the California Institute of Technology, and his B.E. in Electrical Engineering from the Cooper Union.
Diana Marculescu
Diana Marculescu is Department Chair, Cockrell Family Chair for Engineering Leadership #5, and Professor, Motorola Regents Chair in Electrical and Computer Engineering #2, at the University of Texas at Austin.
Prior to joining UT Austin in December 2019, she was the David Edward Schramm Professor of Electrical and Computer Engineering, the Founding Director of the College of Engineering Center for Faculty Success (2015-2019) and has served as Associate Department Head for Academic Affairs in Electrical and Computer Engineering (2014-2018), all at Carnegie Mellon University.
She received the Dipl.Ing. degree in computer science from the Polytechnic University of Bucharest, Bucharest, Romania (1991), and the Ph.D. degree in computer engineering from the University of Southern California, Los Angeles, CA (1998). Her research interests include energy- and reliability-aware computing, hardware aware machine learning, and computing for sustainability and natural science applications.
Diana was a recipient of the National Science Foundation Faculty Career Award (2000-2004), the ACM SIGDA Technical Leadership Award (2003), the Carnegie Institute of Technology George Tallman Ladd Research Award (2004), and several best paper awards. She was an IEEE Circuits and Systems Society Distinguished Lecturer (2004-2005) and the Chair of the Association for Computing Machinery (ACM) Special Interest Group on Design Automation (2005-2009). Diana chaired several conferences and symposia in her area and is currently an Associate Editor for IEEE Transactions on Computers. She was selected as an ELATE Fellow (2013-2014), and is the recipient of an Australian Research Council Future Fellowship (2013-2017), the Marie R. Pistilli Women in EDA Achievement Award (2014), and the Barbara Lazarus Award from Carnegie Mellon University (2018). Diana is a Fellow of ACM and IEEE.
Zaid Kahn
Zaid is currently GM in Cloud Hardware Infrastructure Engineering where he leads a team focusing on advanced architecture and engineering efforts for AI. He is passionate about building balanced teams of artists and soldiers that solve incredibly difficult problems at scale.
Prior to Microsoft Zaid was head of infrastructure engineering at LinkedIn responsible for all aspects of engineering for Datacenters, Compute, Networking, Storage and Hardware. He also lead several software development teams spanning from BMC, network operating systems, server and network fleet automation to SDN efforts inside the datacenter and global backbone including edge. He introduced the concept of disaggregation inside LinkedIn and pioneered JDM with multiple vendors through key initiatives like OpenSwitch, Open19 essentially controlling destiny for hardware development at LinkedIn. During his 9 year tenure at LinkedIn his team scaled network and systems 150X, members from 50M to 675M, and hiring someone every 7 seconds on the LinkedIn Platform.
Prior to LinkedIn Zaid was Network Architect at WebEx responsible for building the MediaTone network and later I built a startup that built a pattern recognition security chip using NPU/FPGA. Zaid holds several patents in networking and SDN and is also a recognized industry leader. He previously served as a board member of the Open19 Foundation and San Francisco chapter of Internet Society. Currently he serves on DE-CIX and Pensando advisory boards.
Sree Ganesan
Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms. Ganesan received a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras, India and a PhD in computer engineering from the University of Cincinnati, Ohio.
Shivam Bharuka
Shivam is an engineering leader with Meta as part of the AI Infrastructure team for the last three years. During this time, he has helped scale the machine learning training infrastructure at Meta to support large scale ranking and recommendation models, serving more than a billion users. He is responsible for driving performance, reliability, and efficiency-oriented designs across the components of the ML training stack at Meta. Shivam holds a B.S. and an M.S. in Computer Engineering from the University of Illinois at Urbana-Champaign.
Mo Faisal
Prior to founding Movellus, Mo held positions at semiconductor companies including Intel and PMC Sierra. He received his B.S. from the University of Waterloo, and his M.S. and Ph.D. from the University of Michigan, and holds several patents. Mo was named a “Top 20 Entrepreneur” by the University of Michigan Zell Lurie Institute.
Salvador Alvarez
- Salvador Alvarez is the Senior Manager of Product Planning at Achronix, coordinating the research, development, and launch of new Achronix products and solutions. With over 20 years of experience in product growth, roadmap development, and competitive intelligence and analysis in the semiconductor, automotive, and edge AI industries, Sal Alvarez is a recognized expert in helping customers realize the advantages of edge AI and deep learning technology over legacy cloud AI approaches. Sal holds a B.S. in computer science and electrical engineering from the Massachusetts Institute of Technology.
Karthee Madasamy
Philipp Schmid
Régis Pierrard
Brett Simpson
Brett Simpson is a co-founder of Arete (formed in 2000) and is based in the firm's London office. He focuses on the global semiconductor component sector. Brett is a regular public speaker at industry events and after 17 years looking at the sector, has a wealth of experience to draw on. Prior to Arete, Brett spent two years at Goldman Sachs in an equity analyst role, specialising in European technology following three years with Ericsson UK, working in business development, covering all aspects of wireline and wireless telecom infrastructure.
Jian Zhang
Sriraman Chari
Manish Pandey
Manish Pandey is Vice President R&D and Fellow at Synopsys, and an Adjunct Professor at Carnegie Mellon University. He completed his PhD in Computer Science from Carnegie Mellon University and a B. Tech. in Computer Science from the Indian Institute of Technology Kharagpur. He currently leads the R&D teams for formal and static technologies, and machine learning at Synopsys. He previously led the development of several static and formal verification technologies at Verplex and Cadence which are in widespread use in the industry. Manish has been the recipient of the IEEE Transaction in CAD Outstanding Young author award and holds over two dozen patents and refereed publications.
Anthony Wood
Anthony has held a number of a design and verification roles working on CPUs, GPUs and IPUs at Infineon, Xmos, Imagination and Graphcore. At Imagination he was head of verification for the high-end GPU cores. At Graphcore his responsibilities include leveraging formal verification techniques throughout the silicon team; reducing delivery timescales through Continuous Delivery; and working to ensure verification disciplines are adopted for DFT. He strives to find ways of improving the productivity of silicon engineers and of course he agonises about potential verification holes.
Prasun Raha
Headline Partner
Synopsys
Website: www.synopsys.com
Smart, Secure Everything—From Silicon to Software
Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure.
Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at the forefront of Smart, Secure Everything with the world’s most advanced tools for silicon chip design, verification, IP integration, and application security testing. Our technology helps customers innovate from Silicon to Software, so they can deliver Smart, Secure Everything.
Platinum Partners
Atos
Website: https://atos.net/thinkai
Atos is a global leader in digital transformation with 109,000 employees and annual revenue of c. € 11 billion. European number one in cybersecurity, cloud and high performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes.
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Cadence
Website: www.cadence.com
Cadence’s goal is to empower engineers at semiconductor and systems companies to create innovative, intelligent, and highly differentiated electronic products that transform the way people live, work, and play. The company’s Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to systems—in AI, IoT, mobile, 5G, consumer, cloud, data center, automotive, aerospace, and other market segments. Cadence offers specialized IP with industry-leading performance, power efficiency, and interconnects, as well as AI-specific verification and implementation solutions. The company also employs machine learning within its tools and solutions to enable the best power, performance, and area (PPA), quality of results (QoR), and time-to-market (TTM) benefits.
Graphcore
Website: https://www.graphcore.ai/
We’re optimistic for a future where people live healthier, more informed, more creative lives. We see a world where technology enhances human potential, and takes us into a new era of intelligence and progress that everyone can benefit from.
We let innovators create the next breakthroughs in machine intelligence.
We believe our Intelligence Processing Unit (IPU) technology will become the worldwide standard for machine intelligence compute. The Graphcore IPU is going to be transformative across all industries whether you are a medical researcher, roboticist or building autonomous cars.
We have created a completely new processor, the IPU, specifically designed for AI compute. The IPU’s unique architecture lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next advances in machine intelligence.
SambaNova
Website: https://www.sambanovasystems.com/
We are a computing startup focused on building the industry’s most advanced systems platform to run AI applications from the datacenter to the edge.
Siemens
Website: https://www.siemens.com/global/en.html
Please visit our website for more information.Meet & Greet Partner
Gold Partners
Achronix
Website: https://www.achronix.com/
Achronix is a leading manufacturer of FPGA and eFPGA IP data acceleration solutions specifically tuned for high-performance AI and ML applications. FPGAs are paving the way for the next era in AI applications and the ubiquitous building blocks for AI deployments from the cloud, to the edge to IoT. Our revolutionary new 7nm Speedster®7t FPGAs and Speedcore™ eFPGA IP are optimized for high-bandwidth workloads and eliminate the performance bottlenecks associated with traditional FPGAs.
Delivering ASIC-like performance, Speedster7t FPGAs are highly configurable, highly flexible compute engines. Built with high-performance 112Gbps transceivers, high-bandwidth GDDR6 interfaces, and high-speed PCIe Gen5 ports, Speedster7t FPGAs provide the high speed data and memory interfaces necessary for AI/ML applications. The Speedster7t FPGAs also feature a new machine learning processor (MLP) which supports new AI/ML number formats such as block floating port and provides >80 TOPs performance.
Achronix’ Speedcore eFPGA IP brings the power and flexibility of programmable logic to ASICs and SoCs. Speedcore IP can be seamlessly integrated into a custom design and is the only eFPGA technology shipping in high-volume production today. With Speedcore IP, customers define both resource counts and mix for logic, embedded memory blocks, MLP, and DSP blocks at up to 90% cost savings vs. traditional standalone FPGA solutions.
Visit achronix.com to learn more about our FPGA technology optimized for AI/ML applications.
Applied Brain Research
Website: https://appliedbrainresearch.com/
Please visit our website for more information.Brainchip
Website: https://brainchipinc.com/miss-the-bus/
BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include continuous learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can help reduce the large carbon footprint of datacenters.
Cerebras
Website: https://www.cerebras.net/industry-pharma/
Cerebras Systems makes the world’s most powerful AI accelerator, removing roadblocks to biomedical research, drug discovery and data-driven healthcare. Our CS-2 system is doing groundbreaking work at leading institutions including GlaxoSmithKline, AstraZeneca, and Argonne National Laboratory. We offer cluster-scale deep learning acceleration in a single, easy-to-program device, so your researchers can focus on medical innovation, not on working around the limitation of traditional computing systems.
Flex Logix
Website: www.flex-logix.com
Flex Logix’ NMAX inferencing accelerators provide very high throughput and hardware utilization even at batch size = 1, with low system cost and system power.
NMAX MAC utilization is over 50% even at batch size = 1. For most inferencing engines utilization drops dramatically from batch 10 to batch 1 because they stall loading weights. High MAC utilization means less silicon area needed for the same throughput.
NMAX uses proprietary Flex Logix interconnect technology to utilize local, distributed SRAM very efficiently generating very high local bandwidth and dropping DRAM bandwidth requires to that of 1 or 2 LPDDR4 DRAMs, even for YOLOv3 at 30 frames/second. This lowers power and lowers cost.
NMAX will be available in TSMC16FFC/12FFC in mid 2019.
Habana
Website: www.habana.ai
Habana is an AI solutions semiconductor company. Eitan is Habana’s Chief Business Officer and will share with us Habana’s vision of the AI/Deep-learning processing needs and Habana’s solutions.
Moffett AI
Website: https://moffett.ai/
Moffett AI: The Sparse Computing Company
Moffett AI is the leader in sparse AI computing, dedicated to providing AI computing platforms and services, with a mission to keep evolving the frontiers of AI using sparse computing.
The inventor of the dual sparsity algorithm, Moffett AI has the world's leading sparse computing techniques with more than 30 patents worldwide. The company creates a new generation of AI computing platform with hardware and software co-design to achieve order-of-magnitude acceleration of computing performance with low cost.
Moffett AI brings low latency, low power consumption and cost-effective computing service to the industry without compromising on accuracy. Moffett AI helps customers significantly reduce their TCO (Total Cost of Ownership) of AI computing while meeting the growing demand for AI computing, and enabling greener and more sustainable AI computing to benefit society.
proteanTecs
Website: https://www.proteantecs.com/
proteanTecs develops revolutionary Universal Chip Telemetry™ (UCT) for electronic systems throughout their entire lifecycle, increasing their performance and reliability. By applying machine learning to novel data created by on-chip UCT Agents™, proteanTecs provides meaningful insights and visibility unattainable until today, leading to new levels of quality, reliability and scale. Founded in 2017, the company is headquartered in Israel with offices in New Jersey, California and Taiwan.
Qualcomm
Website: www.qualcomm.com
We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.
Rambus
Website: https://www.rambus.com/
Rambus is a provider of industry-leading chips and silicon IP making data faster and safer. With over 30 years of advanced semiconductor experience, we are a pioneer in high-performance memory subsystems that solve the bottleneck between memory and processing for data-intensive systems. Whether in the cloud, at the edge or in your hand, real-time and immersive applications depend on data throughput and integrity. Rambus products and innovations deliver the increased bandwidth, capacity and security required to meet the world’s data needs and drive ever-greater end-user experiences. For more information, visit rambus.com.
Exhibitors
Amphenol
Website: https://amphenol.com/
Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world
leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial
electronics markets. Amphenol Corporation is one of the world’s largest designers and
manufacturers of electrical, electronic and fiber optic connectors and interconnect systems,
antennas, sensors and sensor-based products and coaxial and high-speed specialty cable.
ACS has an expansive global presence in research and development, manufacturing, and
sales. We design and manufacture a wide range of innovative connectors as well as cable
assemblies for diverse applications including server, storage, data center, mobile, RF,
networking, industrial, business equipment and automotive.
Mikros
Website: https://www.mikrostechnologies.com/
High Performance Liquid Cooling over 1kW/cm2
We design and manufacture optimized thermal management solutions for high heat flux AI and HPC applications. Our patented Normal Flow™ microchannel and mini-channel liquid cold plates provide industry-leading low thermal resistances pressure drop, giving designers greater thermal budgets to improve the performance, packaging, and reliability of their systems.
Born 30 years ago from a project to cool the Space Station with NASA Johnson Space Center, the Mikros design team seeks the most difficult cooling challenges to develop cutting edge solutions to common thermal performance limitations accommodating multiple heat zones, geometries, materials, TIM and pressure distribution needs. All Mikros cold plate designs are prototyped, tested and manufactured at our facilities in New Hampshire, USA.
Event Partners
Andes Technology
Website: http://www.andestech.com/en/homepage/
Please visit our website for more information.EdgeCortix
Website: https://www.edgecortix.com/
EdgeCortix is a fabless semiconductor design company focused on enabling energy-efficient edge intelligence. Founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called “hardware & software co-exploration”. Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like Field Programmable Gate arrays (FPGAs) and custom designed Application Specific Integrated Circuits (ASICs), the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics.
Malico Inc.
Website: https://www.malico.com/
Malico Inc. was established in 1983 as an advanced thermal solution provider. Over the years, Malico has grown and expanded significantly in related fields and is now a major metal forming company in Taiwan. To fulfill customer demand varieties, the in-house factory is equipped with a high precision CNC center, die casting center, metal injection molding center, painting center (powder and liquid coating), and core thermal solution cold forge center. In addition, quality has always been Malico’s core value (ISO 9001, ISO 14001, IATF 16949 certified, and RoHS compliant). We commit to providing premium quality services, cost-effective product variabilities, and long-term customer partnerships.
Malico is fully engaged with customers from the design initiation phase all the way to rapid prototyping and production ramping. We offer customized solutions, prompt customer communications, short lead time, and quality assurance to ensure customer product on-time delivery. There are several local North American sales offices available to ensure timely support and communication to local customers.
Further details can be provided upon request.
Samtec
Website: http://www.samtec.com
Founded in 1976, Samtec is a privately held, $822 MM global manufacturer of a broad line of electronic interconnect solutions, including High-Speed Board-to-Board, High-Speed Cables, Mid-Board and Panel Optics, Precision RF, Flexible Stacking, and Micro/Rugged components and cables. With 40+ location severing approximately 125 countries, Samtec’s global presence enables its unmatched customer service.
Headline Content Partner
RISC-V
Website: https://riscv.org/
RISC-V International is the non-profit home of the open standard RISC-V Instruction Set
Architecture (ISA), related specifications, and stakeholder community. More than 2,900 RISC-V
members across 70 countries contribute and collaborate to define RISC-V open specifications as
well as convene and govern related technical, industry, domain, and special interest groups.
RISC-V combines a modular technical approach with an open, royalty-free license model --
meaning that anyone, anywhere can benefit from the IP contributed and produced by RISC-V.
RISC-V enables the community to share technical investment, contribute to the strategic future,
create more rapidly, enjoy unprecedented design freedom, and substantially reduce the cost of
innovation. To learn more, visit www.riscv.org.
Media & Association Partners
Women in AI
Website: https://www.womeninai.co/
Women in AI (WAI) is a nonprofit do-tank working towards inclusive AI that benefits global society. We are a community-driven initiative bringing empowerment, knowledge and active collaboration via education, research, events, and blogging.
At Women in AI we empower women and minorities to become AI & Data experts, innovators and leaders. We encourage ethical applications and responsible use of artificial intelligence.
Mission: Women in AI is a community working towards shaping inclusive AI for our common future
HPCwire
Website: https://www.hpcwire.com/
HPCwire is the #1 news and information resource covering the fastest computers in the world and the people who run them. With a legacy dating back to 1987, HPC has enjoyed more than three decades of world-class editorial and topnotch journalism, making it the portal of choice selected by science, technology and business professionals interested in HPC, AI and data-intensive computing. For topics ranging from late-breaking news and emerging technologies in HPC, to new trends, expert analysis, and exclusive features, HPCwire delivers it all and remains the HPC community’s most reliable and trusted resource. Visit www.hpcwire.com.
CIO Review
Website: https://www.cioreview.com/
Published in Fremont, California, CIOReview (www.cioreview.com) is one of the leading print magazines in the US. It is the knowledge platform where C-suite executives deliberate on critical market challenges and current technological trends across industries. We are a unique magazine because all of our contributors are senior executives from the industry.
IoT Global Network
Website: www.iotglobalnetwork.com
IoT Global Network
Discover the world of IoT.
IoT Global Network is the ultimate intelligence platform for the global machine-to-machine communication value chain.
IoT Global Network serves as an invaluable source of information for IoT decision makers in all areas of industry and public services, including consumer-related, energy, financial, industrial, healthcare, security and transportation, – and anyone else who would like to learn more about how the Internet of Things will shape tomorrow’s society.
Discover. Learn. Connect. Engage.
Emerj
Website: www.emerj.com
Emerj helps business leaders survive and thrive in AI disruption. Jargon free research, case studies and business insight. Connecting business leaders to the products and services they need to stay ahead of the competition.
Edge IR
Website: http://www.edgeir.com
Edge Industry Review (EdgeIR.com) is a news, analysis and industry resource website documenting the changes taking place on the edge of the internet infrastructure market – the present and the future of the Edge Computing ecosystem.
Khronos Group
Website: https://www.khronos.org/
The Khronos Group is an open, non-profit, member-driven consortium of over 150 industry-leading companies creating advanced, royalty-free interoperability standards for 3D graphics, augmented and virtual reality, parallel programming, vision acceleration and machine learning. Khronos standards include Vulkan®, Vulkan® SC, OpenGL®, OpenGL® ES, OpenGL® SC, WebGL™, SPIR-V™, OpenCL™, SYCL™, OpenVX™, NNEF™, OpenXR™, 3D Commerce™, ANARI™, and glTF™. Khronos members are enabled to contribute to the development of Khronos specifications, are empowered to vote at various stages before public deployment and are able to accelerate the delivery of their cutting-edge accelerated platforms and applications through early access to specification drafts and conformance tests.
AI Magazine
Website: https://aimagazine.com/
AI connects your brand with the world’s leading executives in the fields of AI strategy, machine learning and digitally disruptive technologies – thought leaders and innovators driving this pioneering sector. They are the trusted authority at the cutting-edge of developments in artificial intelligence, machine learning and automation; guiding the business leaders, influencers and disruptors that are shaping the industry.
Technology Magazine
Website: https://technologymagazine.com/
Technology Magazine connects the world’s largest technology brands and their most senior executives with the latest trends, industry insight, and influential projects as the world embraces technology and digital transformation. Technology Magazine is an established, trusted, and leading voice on all things technology – engaging with a highly targeted audience of global executives. They provide the perfect platform for you to showcase your products and services, share your achievements, and enhance your reputation in the industry.
Embedded Computing Design
Website: https://embeddedcomputing.com/
Embedded Computing Design is a trusted partner for design and development information for the embedded community. Our content team communicates with the engineering community daily, through content channels that include blogs, design articles, podcasts, videos, news, and product information. Topic/application areas include industrial, IoT, automotive, AI/ML, security, automotive, medical/healthcare, consumer mass market, communications, and analog/power.
Robotics Tomorrow
RoboticsTomorrow.com is an Online Trade Magazine featuring Products, Companies, News, Articles and Events for the Industrial Automation, Robotics and Unmanned Vehicle industries.
CIO Applications
Website: https://www.cioapplications.com/
CIO Applications magazine stands out with its unique approach to learning from industry leaders offering professionals the most comprehensive collection of technology trends. CIO Applications is enabling businesses to move a step ahead and guiding them towards adopting the best in technology that can assist them in providing seamless and convenient solutions for enhanced customer experience.
CIO Insights
The world of enterprise technology is soaring high. Every minute, new technological innovations are cropping up in different corners of the world. Every technologist out there wants to stay abreast of all the latest trends in enterprise technology and innovation. CIOInsights works to bring to all the tech enthusiasts the latest information from the world of innovative enterprise solutions. This new world belongs to tech start-ups. We amalgamate all aspects of technology to give an unparalleled digital experience to our ambitious entrepreneurs striving to reach the top. We at CIOInsights magazine give our readers every thorough detail from every arena in technology.
Devitjobs
Website: https://devitjobs.us/jobs/Machine-Learning/all/all
DevITjobs is the first job board built with Software Engineers in mind.
The main goal of the company is to bring more transparency, openness and diversity to the US IT market.
DevITjobs is not only for Developers but for everyone working in the IT industry: Engineers, SAP and System Admins, Product Managers, QAs and UX/UI Designers!
Edge AI Summit Partners
Atos
Website: https://atos.net/thinkai
Atos is a global leader in digital transformation with 109,000 employees and annual revenue of c. € 11 billion. European number one in cybersecurity, cloud and high performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes.
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Brainchip
Website: https://brainchipinc.com/miss-the-bus/
BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include continuous learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can help reduce the large carbon footprint of datacenters.
Ceva
Website: https://www.ceva-dsp.com/
CEVA is the leading licensor of wireless connectivity and smart sensing technologies. We offer Digital Signal Processors, AI processors, wireless platforms and complementary software for sensor fusion, image enhancement, computer vision, voice input and artificial intelligence, all of which are key enabling technologies for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, robotics, industrial and IoT.
XMOS
Website: https://www.xmos.ai/
XMOS is a deep tech company at the leading edge of the artificial intelligence of things (AIoT).
Since its inception in 2005, XMOS has had its finger on the pulse – recognising the evolving market need for flexible compute to serve an ever-widening range of applications including voice, imaging, and ambient sensing.
The company’s uniquely flexible xcore® processors put intelligence, connectivity, and enhanced computation at the core of smart products, enabling product designers to architect system-on-chip solutions purely in software. Their xcore®.ai processor delivers high performance AI, DSP, control and IO in a single device.
XMOS enables customers to get to market faster with differentiated systems that are cost-effective and energy efficient.
Dolphin Design
Website: https://www.dolphin-design.fr/
Please visit our website for more information.EdgeCortix
Website: https://www.edgecortix.com/
EdgeCortix is a fabless semiconductor design company focused on enabling energy-efficient edge intelligence. Founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called “hardware & software co-exploration”. Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like Field Programmable Gate arrays (FPGAs) and custom designed Application Specific Integrated Circuits (ASICs), the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics.
Expedera
Website: https://www.expedera.com/
Expedera provides scalable neural engine semiconductor IP that enables major improvements in performance, power, and latency while reducing cost and complexity in AI-inference applications. Third-party silicon-validated, Expedera’s solutions produce superior performance and are scalable to a wide range of applications from edge nodes and smartphones to automotive and data centers. Expedera’s Origin™ deep learning accelerator products are easily integrated, readily scalable, and can be customized to application requirements. The company is headquartered in Santa Clara, California.
Flex Logix
Website: www.flex-logix.com
Flex Logix’ NMAX inferencing accelerators provide very high throughput and hardware utilization even at batch size = 1, with low system cost and system power.
NMAX MAC utilization is over 50% even at batch size = 1. For most inferencing engines utilization drops dramatically from batch 10 to batch 1 because they stall loading weights. High MAC utilization means less silicon area needed for the same throughput.
NMAX uses proprietary Flex Logix interconnect technology to utilize local, distributed SRAM very efficiently generating very high local bandwidth and dropping DRAM bandwidth requires to that of 1 or 2 LPDDR4 DRAMs, even for YOLOv3 at 30 frames/second. This lowers power and lowers cost.
NMAX will be available in TSMC16FFC/12FFC in mid 2019.
GrAI Matter Labs
Website: https://www.graimatterlabs.ai/
At GrAI Matter Labs we are in the business of Life-Ready AI. Artificial Intelligence as close to natural as it gets. AI that feels alive. We deliver brain-inspired chips that behave like humans do. AI that makes machines assisting humans act, and react, in real time. AI that optimizes energy and maximizes efficiency, saving time, money, and vital natural resources. Welcome to an AI-Ready future, where smart speakers, autonomous vehicles, robots, drones, augmented reality devices, surveillance cameras and more, make us more productive. Welcome to an optimized future!
Mythic
Website: www.mythic-ai.com
BRINGING NEXT-LEVEL AI TO EVERY DEVICE CONSTANT EVOLUTION
Mythic envisions a world where every device is intelligent, with human-like senses and high-level understanding of the environment around it. To realize this we built a team of top talent who bring decades of industry experience from across the entire computing spectrum – empowering everyone to challenge assumptions and eliminate the barriers to achieving our mission. They’ve gone beyond conventional digital architectures, memory, and calculation elements – rethinking everything from the ground up: from transistors and physics, through circuits and systems, up to software and AI algorithms. The result: Powerful life-enhancing AI that customers can push into anything – from fitness bands and hearing aids to self-driving cars and robotic drones.
2022 Information Pack
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Partnership Opportunities
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If you want to reach serious AI technologists in research institutions or enterprises, or find customers in the AI acceleration ecosystem, we want to put you right in the center of the action!
Over the past five years, we’ve launched companies like Habana Labs from stealth, helped multinationals with product launches and helped start ups raise hundreds of millions in funding. If you're working on AI silicon, there is no better place to showcase your technology and meet customers.
Talk to us to see how we can elevate your brand in front of our audience of Silicon Valley heavyweights, and give your company an opportunity to address the technologists who are pushing the boundaries of AI forward.
Find out more by calling us at +44 (0)20 3696 2920 or click here to email Ben Edwards, Commercial Director.
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Testimonials
Hear from some of our partners, speakers and attendees on why they love participating with the AI Hardware Summit!
The AI Hardware Summit is a great place where lots of people interested in AI Hardware are coming together and exchanging ideas, and together we make the technology better. There’s a synergistic effect at these summits which is really amazing and powers the entire industry.
The AI Hardware Summit seems to be the best forum for serious AI hardware news and discussions among real influencers in the industry. This is one event where the level of technical know-how is at the right "level" for decision making in the AI data center - where the presentations, panels, discussions and networking opportunities are highly relevant.
The AI Hardware Summit is one of the most unique conferences in the industry in the way that it maintains a strong technical depth on the talks and attracts industry leaders, from the big companies to up and coming startups. It is the only place where you can make the right business connections and learn from luminaries in the AI hardware space.
This event has quickly emerged as THE conference for all things fast and efficient for processing deep neural networks. The content is a nice blend of technology, solutions and company strategies.
Stellar keynote, interesting talks on "big problems" like throughput, AI model flexibility and energy consumption. Most of the relevant hardware startups were in attendance or presented, including a few new ones that I hadn't heard of! A good lineup.
This year's AI Hardware Summit had a rock star lineup of speakers, and included a number of first ever disclosures of products and technologies. This is becoming a can't miss conference for the industry.
I loved the targeted approach for an event like this. I thought the calibre of attendees was appropriate for the event. It offered a great chance to network with industry leaders.
Advisory Board
Andrew is a co-founder and CEO of Cerebras Systems, a venture-backed stealth-mode startup located in Los Altos, California. He leads a team of phenomenal people with a track record of building products that profoundly changed the largest markets in tech.
Prior to co-founding Cerebras Systems, he was co-founder and CEO of SeaMicro. SeaMicro (acquired by AMD for $355 million) was the pioneer in low power server technology. SeaMicro changed the trajectory of the server industry by inventing the high density, lower power, microserver category.
Prior to co-founding SeaMicro, he was Vice President of Marketing and Product Management at Force10 (acquired by Dell for $800 Million) Networks, and Vice President of Corporate Marketing and Corporate Development for Riverstone Networks (NASDAQ: RSTN) from inception through IPO.
Andrew holds a B.A. and MBA from Stanford University.
Andrew Feldman
Andrew is a co-founder and CEO of Cerebras Systems, a venture-backed stealth-mode startup located in Los Altos, California. He leads a team of phenomenal people with a track record of building products that profoundly changed the largest markets in tech.
Prior to co-founding Cerebras Systems, he was co-founder and CEO of SeaMicro. SeaMicro (acquired by AMD for $355 million) was the pioneer in low power server technology. SeaMicro changed the trajectory of the server industry by inventing the high density, lower power, microserver category.
Prior to co-founding SeaMicro, he was Vice President of Marketing and Product Management at Force10 (acquired by Dell for $800 Million) Networks, and Vice President of Corporate Marketing and Corporate Development for Riverstone Networks (NASDAQ: RSTN) from inception through IPO.
Andrew holds a B.A. and MBA from Stanford University.
Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco.
Lip-Bu Tan
Mr. Lip-Bu Tan is a Co-Founder, Partner, Managing Director, and Chairman of Walden International. Mr. Tan serves as Executive Chairman of Cadence Design Systems Inc., and as Chairman on the Board of SambaNova Systems, Inc. Mr. Tan also serves on the Boards of Softbank and Schneider Electric. Until late 2021, Mr Tan served as Chief Executive Officer at Cadence Design Systems Inc. since January 2009, serving as its President from January 2009 to November 2017. Lip-Bu focuses on semiconductor/components, cloud/big data, artificial intelligence and machine learning. Lip-Bu holds a B.S. in Physics from Nanyang University in Singapore, a M.S. in Nuclear Engineering from Massachusetts Institute of Technology, and a M.B.A. from the University of San Francisco.
Rashmi Gopinath is a General Partner at B Capital Group where she focuses on investments in cloud infrastructure, cybersecurity, devops, and artificial intelligence and machine learning. She brings over two decades of experience investing and operating in enterprise technologies. She led B Capital’s investments in Synack, Innovaccer, Yalo and Armory. Ms. Gopinath was previously a Managing Director at M12, Microsoft's venture fund, where she led investments globally in the enterprise space. At M12, Ms. Gopinath sat on several Boards including Synack, Innovaccer, Contrast Security, Paxata, UnravelData, Incorta, among others. Prior to M12, Ms. Gopinath was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB, ForeScout, Maginatics, BlueData, among others. Ms. Gopinath held operating roles at high-growth startups such as BlueData and Couchbase where she led global business development and product marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. Ms. Gopinath earned an M.B.A. from Northwestern University, and a B.S. in Engineering from University of Mumbai in India.
Rashmi Gopinath
Rashmi Gopinath is a General Partner at B Capital Group where she focuses on investments in cloud infrastructure, cybersecurity, devops, and artificial intelligence and machine learning. She brings over two decades of experience investing and operating in enterprise technologies. She led B Capital’s investments in Synack, Innovaccer, Yalo and Armory. Ms. Gopinath was previously a Managing Director at M12, Microsoft's venture fund, where she led investments globally in the enterprise space. At M12, Ms. Gopinath sat on several Boards including Synack, Innovaccer, Contrast Security, Paxata, UnravelData, Incorta, among others. Prior to M12, Ms. Gopinath was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB, ForeScout, Maginatics, BlueData, among others. Ms. Gopinath held operating roles at high-growth startups such as BlueData and Couchbase where she led global business development and product marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. Ms. Gopinath earned an M.B.A. from Northwestern University, and a B.S. in Engineering from University of Mumbai in India.
Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.
Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.
Accomplishments during his career include:
- Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
- Created an industry-wide thought leadership position for Calxeda in the ARM Server market
- Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
- Built the IBM Power Server brand from 14% market share to over 50% share
- Integrated the Tivoli brand into the IBM company’s branding and marketing organization
- Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition
Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).
Karl Freund
Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.
Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.
Accomplishments during his career include:
- Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
- Created an industry-wide thought leadership position for Calxeda in the ARM Server market
- Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
- Built the IBM Power Server brand from 14% market share to over 50% share
- Integrated the Tivoli brand into the IBM company’s branding and marketing organization
- Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition
Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).
Yvonne is an Investment Principal at Robert Bosch Venture Capital’s (RBVC) affiliate office located in Sunnyvale, responsible for sourcing, evaluating and executing investments for RBVC in North America in deep tech fields like Machine Learning/AI, Edge Computing, Industrial IoT, Mobility, Quantum Computing, or Sensors. She is an investor / non-executive board member at RBVC’s portfolio companies InSyte Systems, Syntiant, Zapata Computing, and UltraSense Systems. Prior to this position Yvonne was Director of Technology Scouting and Business Development for Bosch Automotive Electronics building up an Innovation Center for the division in North America. Prior to that, Yvonne held different leadership positions in Quality Management, Operations and Engineering in Automotive and Consumer Electronics with Bosch in Germany. Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.
Yvonne Lutsch
Yvonne is an Investment Principal at Robert Bosch Venture Capital’s (RBVC) affiliate office located in Sunnyvale, responsible for sourcing, evaluating and executing investments for RBVC in North America in deep tech fields like Machine Learning/AI, Edge Computing, Industrial IoT, Mobility, Quantum Computing, or Sensors. She is an investor / non-executive board member at RBVC’s portfolio companies InSyte Systems, Syntiant, Zapata Computing, and UltraSense Systems. Prior to this position Yvonne was Director of Technology Scouting and Business Development for Bosch Automotive Electronics building up an Innovation Center for the division in North America. Prior to that, Yvonne held different leadership positions in Quality Management, Operations and Engineering in Automotive and Consumer Electronics with Bosch in Germany. Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.
Kunle Olukotun is Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. He founded Afara Websystems, acquired by Sun in 2002. He is a Pioneer of Chip Multiprocessor Designs, Director of the Stanford Pervasive Parallelism Lab, and Co-leader of the Data Analytics for What’s Next (DAWN) research program.
In 2017 Olukotun and Chris Ré founded SambaNova Systems. SambaNova Systems has developed a disruptive next-generation computing platform to power machine learning and data analytics.
Kunle Olukotun
Kunle Olukotun is Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. He founded Afara Websystems, acquired by Sun in 2002. He is a Pioneer of Chip Multiprocessor Designs, Director of the Stanford Pervasive Parallelism Lab, and Co-leader of the Data Analytics for What’s Next (DAWN) research program.
In 2017 Olukotun and Chris Ré founded SambaNova Systems. SambaNova Systems has developed a disruptive next-generation computing platform to power machine learning and data analytics.
Cliff Young
Marc Tremblay
Victoria has over a decade of experience in the semiconductor space. She currently heads up Strategic Partnerships at Graphcore, working with key customers and leading Research & Universities AI engagements. Previously she held several leadership positions at NVIDIA from global alliances, product marketing and campaigns to the founding of the GPU Technology Conference. Prior to joining NVIDIA, Victoria worked in the hedge fund space, as Executive Director for the Hedge Fund Business Operations Association. Victoria is a frequent contributor to ACM SIGGRAPH and is Immersive Chair for the SIGGRAPH 2019 Conference. She's also an active member of the Consumer Technology Association's AI Working Group.
Victoria Rege
Victoria has over a decade of experience in the semiconductor space. She currently heads up Strategic Partnerships at Graphcore, working with key customers and leading Research & Universities AI engagements. Previously she held several leadership positions at NVIDIA from global alliances, product marketing and campaigns to the founding of the GPU Technology Conference. Prior to joining NVIDIA, Victoria worked in the hedge fund space, as Executive Director for the Hedge Fund Business Operations Association. Victoria is a frequent contributor to ACM SIGGRAPH and is Immersive Chair for the SIGGRAPH 2019 Conference. She's also an active member of the Consumer Technology Association's AI Working Group.
Originally from Shanghai, PRC. Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley. MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.
Cheng Wang
Originally from Shanghai, PRC. Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley. MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.
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