Session Abstract
Recent advances in AI have enabled many transformations in our daily lives: we now have access to AIs that can have meaningful conversations, AIs that can create visual art and even realistic images, AIs that can do reliable speech recognition. Interestingly, the AI capabilities are not limited to such every-day tasks, AIs can also be built to do automatic diagnosis on X-Ray scans, or to predict the 3-D structure of a protein, and to predict the weather more reliably than traditional weather models. In fact, the list of new capabilities that have emerged is much longer than this, and most strikingly, it keeps growing very quickly. I will first give an overview of recent advances in AI capabilities. Then I will explain the underlying principles powering these advances. From there we'll look ahead at what this could mean for the future.
Speaker Bio
Pieter Abbeel is one of the world's leading researchers, educators and entrepreneurs in Artificial Intelligence. As Co-Director of the Berkeley AI Research lab, he has made pioneering research and education contributions in deep reinforcement learning, generative AI, deep unsupervised learning, and robotics. Pieter and his students have co-founded many leading AI companies, including Covariant, Gradescope, OpenAI, Perplexity, Ideogram, Genmo, Reflection. Abbeel has been frequently featured in the press, including the New York Times, Wall Street Journal, BBC, Rolling Stone, Wired, Tech Review.