Wei Li is the VP and GM for Artificial Intelligence and Analytics at Intel where, for 20 years, he has been an award-winning technologist and leader. He now directs their AI Everywhere initiative.
Wei has always been at the cutting edge of hardware and software as Intel transformed from a PC-based hardware company to a world leader in data centers, cloud, mobile, and now AI solutions.
He spearheaded compiler development that set world records for performance on parallel servers and supercomputers. How impressive are his accomplishments at Intel? Wei and his teams have received not one, not two, but FIVE of the prestigious Intel Achievement Awards. Perhaps more importantly, Wei always seems to be having fun, even if he might be “stuck in the Matrix.”
Intel aims to speed AI deployment through its AI Everywhere initiative. Image used courtesy of Intel
In this Moore’s Lobby episode, Wei provides his insights on hardware and software co-design, AI reference kits, and advances in CPUs and GPUs. You will enjoy this interview with host Daniel Bogdanoff as they discuss not only AI, but also:
- Hardware is an accelerator for software. “It's not the other way around. It's not!”
- Why Wei and Intel are encouraging and investing in the AI open-source movement
- Wei’s three key pieces of advice for early-stage engineers or students
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Meet Wei Li
Dr. Wei Li is the Vice President and General Manager of Artificial Intelligence and Analytics (AIA) at Intel. Wei has always been at the cutting-edge of hardware and software as Intel transformed from a PC-based hardware company to a world-leader in data centers, cloud, mobile, and now AI solutions. Wei, alongside his world-wide team of engineering “magicians,” is currently developing software to simplify the implementation of AI solutions across multiple industries.
With a passion for technology, strategy, and execution, he and his team have been instrumental in Intel's recent multi-billion-dollar AI revenue growth through hardware and software. His team improved AI performance by 10-100X through software acceleration,
He is responsible for broad AI and analytics initiatives including deep learning, statistical machine learning and big data analytics. His team is also responsible for AI hardware co-design on CPUs and GPUs, and heterogenous and distributed computing.
Wei Li received his Ph.D. in Computer Science from Cornell University. He has taught Advanced Compiling Techniques at Stanford University and served as an associate editor for ACM Transactions on Programming Languages and Systems. Wei was on the Intel/Microsoft committee that funded the creation of parallel computing research centers at the University of California-Berkeley and the University of Illinois at Urbana-Champaign.