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Researchers Discover a More Flexible Approach to Machine Learning

February 7, 2023

“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability.

Machines Learn Better if We Teach Them the Basics

February 1, 2023

A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.

When Does the Brain Operate at Peak Performance?

January 31, 2023

The critical brain hypothesis suggests that neural networks do their best work when connections are not too weak or too strong.

The Physics Principle That Inspired Modern AI Art

January 5, 2023

Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink to spread through water.

The Year in Computer Science

December 21, 2022

Computer scientists this year learned how to transmit perfect secrets, why transformers seem so good at everything, and how to improve on decades-old algorithms (with a little help from AI).

What Does It Mean to Align AI With Human Values?

December 13, 2022

Making sure our machines understand the intent behind our instructions is an important problem that requires understanding intelligence itself.

AI Reveals New Possibilities in Matrix Multiplication

November 23, 2022

Inspired by the results of a game-playing neural network, mathematicians have been making unexpected advances on an age-old math problem.

New Chip Expands the Possibilities for AI

November 10, 2022

An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices, reaching the same accuracy as wasteful digital computers.

Machine Learning Highlights a Hidden Order in Scents

October 10, 2022

Efforts to build a better digital “nose” suggest that our perception of scents reflects both the structure of aromatic molecules and the metabolic processes that make them.

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