Daniel Wu

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

Arne Stoschek

Arne is the Vice President of AI, Autonomy & Digital Information and oversees the company’s development of autonomous flight and machine learning solutions to enable future, self-piloted aircraft. In his role, he also leads the advancement of large-scale data-driven processes to develop novel aircraft functions. He is passionate about robotics, autonomy and the impact these technologies will have on future mobility. After holding engineering leadership positions at global companies such as Volkswagen/Audi and Infineon, and at aspiring Silicon Valley startups, namely Lucid Motors/Atieva, Knightscope and Better Place, Arne dared to take his unique skill set to altitude above ground inside Airbus. Arne earned a Doctor of Philosophy in Electrical and Computer Engineering from the Technical University of Munich and held a computer vision and data analysis research position at Stanford University.

Vasudev Lal

Principal AI Research Scientist at Intel Labs where I lead the Multimodal Cognitive AI team. The Cognitive AI team develops AI systems that can synthesize concept-level understanding from multiple modalities: vision, language, video, etc. leveraging large-scale AI clusters powered by Intel AI HW (eg: Intel Gaudi-based AI clusters). Vasudev’s current research interests include self-supervised training at scale for continuous and high dimensional modalities like images, video and audio; mechanisms to go beyond statistical learning in today’s AI systems by incorporating counterfactual reasoning and principles from causality and exploring full 3D parallelism (tensor + parallel + data) for training and inferencing large AI models on Intel AI HW (eg: Intel Gaudi-based AI clusters in Intel Dev Cloud).  Vasudev obtained his PhD in Electrical and Computer Engineering from the University of Michigan, Ann Arbor in 2012.

Vamsi Boppana

Vamsi Boppana is responsible for AMD’s AI strategy, driving the AI roadmap across the client, edge and cloud for AMD’s AI software stack and ecosystem efforts. Until 2022, he was Senior Vice President of the Central Products Group (CPG), responsible for developing and marketing Xilinx’s Adaptive and AI product portfolio. He also served as executive sponsor for the Xilinx integration into AMD. 

At Xilinx, Boppana led the silicon development of leading products such as Versal™ and Zynq™ UltraScale™+ MPSoC. Before joining the company in 2008, he held engineering management roles at Open-Silicon and Zenasis Technologies, a company he co-founded. Boppana began his career at Fujitsu Laboratories. Caring deeply about the benefits of the technology he creates, Boppana aspires both to achieve commercial success and improve lives through the products he builds. 

Dan Rabinovitsj

Dan has 30+ years’ experience in developing technology that connects people, with a particular focus on market disruption and innovation. Dan has served in executive leadership roles in Silicon Labs, NXP, Atheros, Qualcomm, Ruckus Networks and Facebook/Meta.  Dan joined Meta in 2018 to lead Facebook Connectivity, a team focused on bringing more people online at faster speeds and changing the telecom industry through the Telecom Infra Project. Dan is now supporting a team developing and sustaining data center hardware and AI systems.

Lip-Bu Tan

Lip-Bu Tan is Founder and Chairman of Walden International (“WI”), and Founding Managing Partner of Celesta Capital and Walden Catalyst Ventures, with over $5 billion under management.  He formerly served as Chief Executive Officer and Executive Chairman of Cadence Design Systems, Inc.  He currently serves on the Board of Schneider Electric SE (SU: FP), Intel Corporation (NASDAQ: INTC), and Credo Semiconductor (NASDAQ: CRDO).

Lip-Bu focuses on semiconductor/components, cloud/edge infrastructure, data management and security, and AI/machine learning.

Lip-Bu received his B.S. from Nanyang University in Singapore, his M.S. in Nuclear Engineering from the Massachusetts Institute of Technology, and his MBA from the University of San Francisco. He also received his honorary degree for Doctor of Humane Letters from the University of San Francisco.  Lip-Bu currently serves on Carnegie Mellon University (CMU)’s Board of Trustees and the School of Engineering Dean’s Council, Massachusetts Institute of Technology (MIT)’s School of Engineering Dean’s Advisory Council, University of California Berkeley (UCB)’s College of Engineering Advisory Board and their Computing, Data Science, and Society Advisory Board, and University of California San Francisco (UCSF)’s Executive Council. He’s also a member of the Global Advisory Board of METI Japan, The Business Council, and Committee 100. He also served on the board of the Board of Global Semiconductor Alliance (GSA) from 2009 to 2021, and as a Trustee of Nanyang Technological University (NTU) in Singapore from 2006 to 2011.  Lip-Bu has been named one of the Top 10 Venture Capitalists in China by Zero2ipo and was listed as one of the Top 50 Venture Capitalists on the Forbes Midas List. He’s the recipient of imec’s 2023 Lifetime of Innovation Award, the Semiconductor Industry Association (SIA) 2022 Robert N. Noyce Award, and GSA’s 2016 Dr. Morris Chang's Exemplary Leadership Award.  In 2017, he was ranked #1 of the most well-connected executives in the technology industry by the analytics firm Relationship Science.