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A New Approach to Computation Reimagines Artificial Intelligence

April 13, 2023

By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.

How Randomness Improves Algorithms

April 3, 2023

Unpredictability can help computer scientists solve otherwise intractable problems.

Bob Metcalfe, Ethernet Pioneer, Wins Turing Award

March 22, 2023

The American researcher was recognized for his central role in inventing, standardizing and commercializing the ubiquitous networking technology.

Surprise Computer Science Proof Stuns Mathematicians

March 21, 2023

For decades, mathematicians have been inching forward on a problem about which sets contain evenly spaced patterns of three numbers. Last month, two computer scientists blew past all of those results.

The Unpredictable Abilities Emerging From Large AI Models

March 16, 2023

Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.

Q&A

The Researcher Who Would Teach Machines to Be Fair

March 10, 2023

Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.

In Neural Networks, Unbreakable Locks Can Hide Invisible Doors

March 2, 2023

Cryptographers have shown how perfect security can undermine machine learning models.

Q&A

An Applied Mathematician With an Unexpected Toolbox

March 1, 2023

Lek-Heng Lim uses tools from algebra, geometry and topology to answer questions in machine learning.

To Teach Computers Math, Researchers Merge AI Approaches

February 15, 2023

Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change.

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