Unlocking Scientific Breakthroughs with AI

Anima Anandkumar is a world-renowned AI researcher with brilliant answers to some of the most complicated AI questions. In this episode of More Intelligent Tomorrow, we talk about AI’s role in science and how future AGI systems might behave.

Guests

Animashree Anandkumar photo
Anima Anandkumar

Bren Professor at Caltech and Director of ML Research at NVIDIA

Anima Anandkumar is a Bren Professor at Caltech and Director of ML Research at NVIDIA. She was previously a Principal Scientist at Amazon Web Services. She has received several honors, such as Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from DoD, and Faculty Fellowships from Microsoft, Google, Facebook, and Adobe. She is part of the World Economic Forum’s Expert Network. She is passionate about designing principled AI algorithms and applying them in interdisciplinary applications. Her research focus is on unsupervised AI, optimization, and tensor methods.


When we think of AGI we think of massive brains and massive compute but more and more of the computation will move to the edge.
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Our brains use much less power than current GPUs do, how can we create more effective hardware and training and inference on the edge?

How do you define intelligence? For me it is the ability to learn, to learn and adapt. For instance, the Boston Dynamics robot can do impressive dancing, backflips, open the door, but it is pre-programmed to do exactly that.
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