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The world today is experiencing an AI revolution. We haven’t seen productivity transformations like this since the dawn of the computer age and the industrial revolution before that. Companies from every market segment are feeling the effects that AI brings to the table including the semiconductor industry. McKinsey & Company reports that design complexity and process complexity will double with every new process node generation leading to a dramatic increase in design and labor costs. Add to this, the engineering shortfall hitting the semiconductor industry and it has become clear that how chips are designed needs to dramatically change.  

 

Artificial intelligence has inherent traits that make it the perfect solution to embrace these challenges and infuse automation throughout the chip design and development flow. But what limitations does AI have and how is it evolving so that it can keep pace with the productivity and quality demands of the market? The application of AI also goes far beyond the scope of design. The massive amount of data that AI engines harvest and AI itself can be used to understand design trends, monitor silicon life cycles, and improve yield. Data will play a key role in the next evolution to enable chip design using generative AI. In this keynote, Thomas Andersen will explore how this transformative technology impacts innovation and optimization for chip design and beyond. 

Author:

Thomas Andersen

VP, AI and Machine Learning
Synopsys

Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.

Thomas Andersen

VP, AI and Machine Learning
Synopsys

Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.

Abstract coming soon...

Author:

Marc Tremblay

Technical Fellow & Corporate VP
Microsoft

Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

Marc Tremblay

Technical Fellow & Corporate VP
Microsoft

Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

Abstract coming soon...

Author:

Andrew Ng

Founder & Executive Chairman
LandingAI

Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder of DeepLearning.AI, Founder & Executive Chairman of LandingAI, Managing General Partner at AI Fund, Chairman & Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.

In 2011, he led the development of Stanford University's main MOOC (Massive Open Online Courses) platform and taught an online Machine Learning course that was offered to over 100,000 students leading to the founding of Coursera where he is currently Chairman and Co-founder.

Previously, he was Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure. He was also the founding lead of the Google Brain team.

As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world. He holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.

Andrew Ng

Founder & Executive Chairman
LandingAI

Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is Founder of DeepLearning.AI, Founder & Executive Chairman of LandingAI, Managing General Partner at AI Fund, Chairman & Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department.

In 2011, he led the development of Stanford University's main MOOC (Massive Open Online Courses) platform and taught an online Machine Learning course that was offered to over 100,000 students leading to the founding of Coursera where he is currently Chairman and Co-founder.

Previously, he was Chief Scientist at Baidu, where he led the company’s ~1300 person AI Group and was responsible for driving the company’s global AI strategy and infrastructure. He was also the founding lead of the Google Brain team.

As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world. He holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.

 

Michael Messinger

Partner
Vorys

Mike is a partner in the Vorys Washington, D.C. office and member of the intellectual property group.  He began his career serving for six years as a patent examiner in the U.S. Patent and Trademark Office (USPTO) handling an active optoelectronic devices and systems docket.  Now, Mike brings unique patent solutions from defensive and offensive perspectives.  He helps clients harvest innovation, protect products and services, and monetize or defend patent portfolios.

Michael Messinger

Partner
Vorys

Michael Messinger

Partner
Vorys

Mike is a partner in the Vorys Washington, D.C. office and member of the intellectual property group.  He began his career serving for six years as a patent examiner in the U.S. Patent and Trademark Office (USPTO) handling an active optoelectronic devices and systems docket.  Now, Mike brings unique patent solutions from defensive and offensive perspectives.  He helps clients harvest innovation, protect products and services, and monetize or defend patent portfolios.

Throughout his career, Mike has helped companies of all sizes, universities and individuals create IP strategies for protection and to enhance their freedom-to-operate in computer, electronics and sustainable technologies. He routinely works with company officers and engineers to identify patentable inventions and build strategic patent portfolios. Mike also has significant experience as lead counsel in complex inter partes review proceedings, reissue and ex parte patent reexamination before the USPTO.

Mike has deep experience prosecuting U.S. and international patent applications.  This includes developing worldwide patent portfolios that track company business goals and writing and prosecuting numerous patent applications covering inventions in cloud computing, machine learning, computer networking (Internet and World-Wide Web technologies), browsers, geographical information systems, graphics processing,  high-speed optical communications, solar, wind and tidal energy, and data mining.  Mike has also helped clients sell, license or enforce hundreds of patents. 

Mike serves as an adjunct professor at the Georgetown University Law Center, where he teaches patent licensing.

Mike received his J.D. from the Georgetown University Law Center and his B.S. magna cum laude, in physics, from Duke University.

Prior to joining Vorys, Mike was the co-founder of the boutique IP law firm Shami Messinger PLLC and earlier in his career he served as a partner at other IP boutique and general practice law firms.

 

Jonas McDavit

Partner
Desmarais

Jonas McDavit is a partner at Desmarais LLP. He has extensive experience
representing clients in high-stakes patent infringement cases before the
Federal Circuit Court of Appeals, several federal district courts, the
International Trade Commission, and the USPTO Patent Trial and Appeal
Board. He handles cases involving diverse areas of technology, including
computer hardware and software, semiconductors, wireless communication,
mobile devices, image sensors, gaming, pharmaceuticals, photo-imaging
equipment, and consumer products.

Jonas McDavit

Partner
Desmarais

Jonas McDavit

Partner
Desmarais

Jonas McDavit is a partner at Desmarais LLP. He has extensive experience
representing clients in high-stakes patent infringement cases before the
Federal Circuit Court of Appeals, several federal district courts, the
International Trade Commission, and the USPTO Patent Trial and Appeal
Board. He handles cases involving diverse areas of technology, including
computer hardware and software, semiconductors, wireless communication,
mobile devices, image sensors, gaming, pharmaceuticals, photo-imaging
equipment, and consumer products.

PETs Series: How Data Privacy Vaults Revolutionize Business Scalability and Compliance in a Dynamic Regulatory Landscape webinar hosted by Skyflow

The proliferation of data privacy Regulations from GDPR to the Indonesia PDP law to the Indian DPDP law are forcing businesses to reconsider how they approach managing their customers’ sensitive data. At the same time, the pace of innovation and the competitive landscape requires businesses to leverage new innovations like generative AI to deliver products quickly to meet customer demands.

 

Flemming Klausen

Senior Compliance Officer, Sanctions Expert
Saxo (Nordic Chapter, Board Member)

Flemming has 28 years of experience in Danish Law Enforcement, and in the last 14 years as a Detective Inspector at the State Prosecutor for Serious Economic and International Crime leading the biggest Danish Financial Crime cases, nationwide as well as internationally.

Flemming Klausen

Senior Compliance Officer, Sanctions Expert
Saxo (Nordic Chapter, Board Member)

Flemming Klausen

Senior Compliance Officer, Sanctions Expert
Saxo (Nordic Chapter, Board Member)

Flemming has 28 years of experience in Danish Law Enforcement, and in the last 14 years as a Detective Inspector at the State Prosecutor for Serious Economic and International Crime leading the biggest Danish Financial Crime cases, nationwide as well as internationally.

Since 2017, Flemming has been a Senior Sanctions Subject Matter Expert in 1LoD in financial institutions, both in highly and less mature Compliance setups, and therefore an experienced practician towards fighting International Financial Crime, Sanctions Governance and Management of cases related to Sanctions Risk Exposures.