Soojung Ryu

As a well-known expert in AI processors, Soojung Ryu is in charge of SAPEON in order to accelerate the company’s growth in the global AI market. She brings more than 25 years of extensive experience in leading various projects related to NPU and GPU.

Before she joined SK Telecom as the head of the AI accelerator office, Ryu was a University-Industry Collaboration Professor at Seoul National University, where she conducted R&D in the NPU and PIM. When she served as the Vice President of Samsung Group's R&D hub, she undertook diverse projects related to GPU. Ryu received her Ph.D. degree in Electrical & Computer Engineering from Georgia Institute of Technology.

Jeremy Roberson

Director of Inference Software at Flex Logix. Jeremy earned his BSEE, MSEE, and PhD EE degrees from UC Davis specializing in Signal Processing Algorithms. Jeremy has worked on algorithms and hardware accelerator architectures for machine learning and signal processing in domains such as automatic speech recognition, object detection for biomedicine, capacitive sensing systems, and more. He has several patents and publications within these areas. He has spent the last 6 years working on inference SW for AI accelerators, first at Intel, and now at Flex Logix. 

Jim Keller

Jim Keller is the CEO of Tenstorrent and a veteran hardware engineer. Prior to joining Tenstorrent, he served two years as Senior Vice President of Intel's Silicon Engineering Group. He has held roles as Tesla's Vice President of Autopilot and Low Voltage Hardware, Corporate Vice President and Chief Cores Architect at AMD, and Vice President of Engineering and Chief Architect at P.A. Semi, which was acquired by Apple Inc. Jim has led multiple successful silicon designs over the decades, from the DEC Alpha processors, to AMD K7/K8/K12, HyperTransport and the AMD Zen family, the Apple A4/A5 processors, and Tesla's self-driving car chip.

Thomas Andersen

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.

Marc Tremblay

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.

Andrew Ng

Dr. Andrew Ng is the Founder and CEO of Landing AI, whose flagship product is an enterprise AI platform that allows customers to build and deploy AI-powered visual inspection solutions. Dr. Ng has helped two of the world’s leading technology companies in their “AI transformation”; He was the founding lead of the Google Brain team as well as the VP & 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. 

Dr. Ng is also Chairman and Co-founder of Coursera, a leading online education company, and an Adjunct Professor at Stanford University’s Computer Science Department. His AI courses have had over 8 million enrollments. Dr. Ng 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.