Seminario: Unlocking Generative AI with Ubiquitous Hardware and Open Software
Date: Thu 20 April 2023 at 15:00
Venue: Aula Alfa, via Salaria 113
Speaker: Dr. Wei Li
Title: Unlocking Generative AI with Ubiquitous Hardware and Open Software
The presentation will cover the major opportunities of and challenges posed by recent Generative AI technologies such as ChatGPT and Stable Diffusion along with the hardware and software considerations of the increasingly resource-intensive Large Language Models (LLMs) with AI transformer at their core. This talk will cover AI systems from the algorithm down to gates – spanning AI model development, the underlying software frameworks that fuel fast model innovation, and finally the hardware covering CPUs, GPUs and accelerators that provide the huge volume of required compute power.
Dr. Wei Li is the Vice President and General Manager of Artificial Intelligence and Analytics (AIA) at Intel, responsible for AI software and AI hardware co-design. He leads Intel’s world-wide team of engineering “magicians” who make “AI Everywhere” a reality by supercharging machine performance and developer productivity. Since starting his career as a computer scientist for supercomputers, he has been at the cutting-edge of technology and business growth, helping Intel transform from PCs, to data center and cloud, and now AI. With a passion for technology, strategy, and execution, Wei and his team have been instrumental in Intel's recent multi-billion-dollar AI revenue growth. His team improves AI performance by 10-100X through software acceleration and for a broad AI and Analytics portfolio including deep learning, statistical machine learning and big data analytics. Wei Li received his Ph.D. in Computer Science from Cornell University. He is a frequent speaker at Industry leading conferences as well as universities such as Stanford and Harvard. He has served as an associate editor for ACM Transactions on Programming Languages and Systems, and 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.