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The Minds, Brains, & Machines Initiative: Driving Innovation at the Intersection of Natural and…

NYU Center for Data Science

The Minds, Brains, & Machines Initiative: Driving Innovation at the Intersection of Natural and Artificial Intelligence The studies of biological and artificial intelligence, which have spent the occasional decade pretending not to have much to say to each other, are entering, thanks to the current wave of AI progress, a new symbiosis.

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Anima Anandkumar: What’s in the Future for AI?

DataRobot

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. People often think that AGI will involve massive computer brains. CUDA currently has more than 2.3

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LK-99: What if we have room temperature superconductors

Dataconomy

In the quest for technological advancements that can revolutionize our world, the scientific community has always been captivated by the elusive phenomenon of superconductivity. Superconductors are materials that can conduct electricity with zero resistance, leading to unprecedented energy efficiency and technological advancements.

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Meet the finalists of the Pushback to the Future Challenge

DrivenData Labs

The future of machine learning in the NAS will need to find ways to learn from this data without revealing it, and federated learning is likely to be a key technology. The future of machine learning in the NAS will need to find ways to learn from this data without revealing it, and federated learning is likely to be a key technology.

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Computational Foundations for the Second Law of Thermodynamics

Hacker News

Computational Foundations for the Second Law of Thermodynamics 2. But back in the 1980s, as I began to explore the computational universe of simple programs, I discovered a fundamental phenomenon that was immediately reminiscent of the Second Law. Other observers—or even our own future technology— might see things differently.

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Deployment of Data and ML Pipelines for the Most Chaotic Industry: The Stirred Rivers of Crypto

The MLOps Blog

The inherent cost of cloud computing : To illustrate the point, Argentina’s minimum wage is currently around 200 dollars per month. And that includes data. Given that the whole theory of machine learning assumes today will behave at least somewhat like yesterday, what can algorithms and models do for you in such a chaotic context ?

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