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artificial intelligence

Machines Learn Better if We Teach Them the Basics

By Max G. Levy
February 1, 2023
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A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.

Shang-Hua Teng in a blazer on a street
Q&A

The Computer Scientist Who Finds Life Lessons in Games

By Ben Brubaker
January 25, 2023
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In Shang-Hua Teng’s work, theoretical and practical questions have long been intertwined. Now he’s turning his focus to the impractical.

graph theory

Finally, a Fast Algorithm for Shortest Paths on Negative Graphs

By Ben Brubaker
January 18, 2023
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Researchers can now find the shortest route through a network nearly as fast as theoretically possible, even when some steps can cancel out others.

Purple illustration of round qubits pointing to rows of blocks that progressively become more chaotic.
quantum computing

New Algorithm Closes Quantum Supremacy Window

By Ben Brubaker
January 9, 2023
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Random circuit sampling, a popular technique for showing the power of quantum computers, doesn’t scale up if errors go unchecked.

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machine learning

The Physics Principle That Inspired Modern AI Art

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

2022 in Review

The Year in Computer Science

By Bill Andrews
December 21, 2022
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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).

Quantized Columns

What Does It Mean to Align AI With Human Values?

By Melanie Mitchell
December 13, 2022
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Making sure our machines understand the intent behind our instructions is an important problem that requires understanding intelligence itself.

quantum computing

After a Quantum Clobbering, One Approach Survives Unscathed

By Allison Parshall
December 7, 2022
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A quantum approach to data analysis that relies on the study of shapes will likely remain an example of a quantum advantage — albeit for increasingly unlikely scenarios.

neural networks

AI Reveals New Possibilities in Matrix Multiplication

By Ben Brubaker
November 23, 2022
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Inspired by the results of a game-playing neural network, mathematicians have been making unexpected advances on an age-old math problem.


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