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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!
Artificial intelligence has come a long way in a short time. No longer relegated to only outwitting humans in chess matches, AI now powers virtual assistants like Siri and self-driving cars testing their way through our neighborhoods. But if AI is getting more ingrained in society, why has it not boosted economic growth — as technological innovations like electricity or computers have done in the past?
Erik Brynjolfsson, a leading economist in AI, says it’s only a matter of time.
Brynjolfsson, Director of the MIT Initiative on the Digital Economy, spoke Tuesday at the Stanford Institute for Economic Policy Research (SIEPR), on “The AI Awakening and the Coming Productivity Boom.” The event was co-hosted by SIEPR and the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where Brynjolfsson is a distinguished fellow. Read the full article.