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Scaling Challenges of AI Systems

Author:

Zaid Kahn

VP, Cloud AI & Advanced Systems Engineering

Microsoft

Zaid is currently a VP in Microsoft’s Silicon, Cloud Hardware, and Infrastructure Engineering organization where he leads systems engineering and hardware development for Azure including AI systems and infrastructure. Zaid is part of the technical leadership team across Microsoft that sets AI hardware strategy for training and inference. Zaid's teams are also responsible for software and hardware engineering efforts developing specialized compute systems, FPGA network products and ASIC hardware accelerators.

Prior to Microsoft Zaid was head of infrastructure at LinkedIn where he was responsible for all aspects of architecture and engineering for Datacenters, Networking, Compute, Storage and Hardware. Zaid also led several software development teams focusing on building and managing infrastructure as code. This included zero touch provisioning, software-defined networking, network operating systems (SONiC, OpenSwitch), self-healing networks, backbone controller, software defined storage and distributed host-based firewalls. The network teams Zaid led built the global network for LinkedIn, including POP's, peering for edge services, IPv6 implementation, DWDM infrastructure and datacenter network fabric. The hardware and datacenter engineering teams Zaid led were responsible for water cooling to the racks, optical fiber infrastructure and open hardware development which was contributed to the Open Compute Project Foundation (OCP).

Zaid holds several patents in networking and is a sought-after keynote speaker at top tier conferences and events. Zaid is currently the chairperson for the OCP Foundation Board. He is also currently on the EECS External Advisory Board (EAB) at UC Berkeley and a board member of Internet Ecosystem Innovation Committee (IEIC), a global internet think tank promoting internet diversity. Zaid has a Bachelor of Science in Computer Science and Physics from the University of the South Pacific.

Read more about Scaling Challenges of AI Systems

SK Telecom and Singtel partner to develop next-generation telco technology and solutions

Submitted by Priya Khosla on July 8, 2024 - 5:54am

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AI Hardware

Singtel and SK Telecom announced that they have signed a Memorandum of Understanding (MoU) to collaborate on building next-generation telecommunications networks that will drive innovation, improve network performance and security and deliver enhanced customer experiences over the next two years.

HONOR Unveils Industry's First AI Defocus Eye Protection and AI Deepfake Detection

Submitted by Priya Khosla on July 5, 2024 - 6:28am

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AI Hardware

Global technology brand HONOR revealed two industry-leading on-device AI innovations created to empower individuals and introduce a new level of user safety. The brand also reiterated its focus on human-centric on-device AI and its belief in the potential for AI-enabled hardware to empower users by delivering tailored services while protecting user privacy.

Siemens launches Solido Simulation Suite

Submitted by Priya Khosla on July 4, 2024 - 5:58am

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AI Hardware

Siemens Digital Industries Software launched Solido Simulation Suite, an AI-accelerated platform providing faster verification for next-generation analog, mixed-signal, RF, memory, library IP and 3D IC designs.

Enabling Open Collaboration: Technological Innovation & Privacy

In this enlightening panel, we explore the technical innovations that create trusted execution environments and foster data partnerships across functions, departments, and organizations, fostering a trusted and resilient data economy. Key highlights include:

Collaboration Between PETs and Confidential Computing:
Understand the need for synergy between these technologies to cater to enterprise-level adoption. Explore how PETs and confidential computing enhance data integrity and security.

Unlocking Sensitive Data Sets:
Whether dealing with personal identifiable information, health records, or financial reports, data integrity is invaluable. Discover a privacy toolkit that securely unlocks these data sets, empowering organizations to navigate privacy complexities.

Enhancing Trust and Resilience in Data Economy:
Embrace these innovations to create a stronger, transparent data ecosystem that thrives on trust and resilience.

Attendees will leave equipped with the understanding of how PETs and confidential computing go hand-in-hand and how these technologies increase data utility and data integrity, ultimately contributing to a stronger, more transparent data ecosystem that thrives on trust and resilience.