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The past decade’s series of dramatic AI successes has brought us closer to realizing the dream of the autonomous agent—an artificial system that can learn about its world, make decisions, and set and achieve goals, all with minimal human intervention.
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
Nature has given us an incredible motif for the autonomous agent. Humans are born with core motivations that drive behavior, and as they gain experience, they develop increasingly sophisticated representations of their worlds, which in turn facilitate increasingly complex behaviors.
How should we attempt to realize this motif for intelligence to create autonomous agents? In this seminar, the speakers will cover a number of efforts aimed at assembling pieces of it—starting with their own research into intrinsic motivation and adaptive “world model” representations, including work inspired by biology and, in particular, human development. They will also describe some of the opportunities language models provide for us to make increasingly autonomous systems.
