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What Does It Mean for AI to Understand?

December 16, 2021

It’s simple enough for AI to seem to comprehend data, but devising a true test of a machine’s knowledge has proved difficult.

Mathematician Hurls Structure and Disorder Into Century-Old Problem

December 15, 2021

A new paper shows how to create longer disordered strings than mathematicians had thought possible, proving that a well-known recent conjecture is “spectacularly wrong.”

AI Researchers Fight Noise by Turning to Biology

December 7, 2021

Tiny amounts of artificial noise can fool neural networks, but not humans. Some researchers are looking to neuroscience for a fix.

Researchers Defeat Randomness to Create Ideal Code

November 24, 2021

By carefully constructing a multidimensional and well-connected graph, a team of researchers has finally created a long-sought locally testable code that can immediately betray whether it’s been corrupted.

How Quantum Computers Will Correct Their Errors

November 16, 2021

Quantum bits are fussy and fragile. Useful quantum computers will need to use an error-correction technique like the one that was recently demonstrated on a real machine.

Q&A

Her Machine Learning Tools Pull Insights From Cell Images

November 2, 2021

The computational biologist Anne Carpenter creates software that brings the power of machine learning to researchers seeking answers in mountains of cell images.

Surprising Limits Discovered in Quest for Optimal Solutions

November 1, 2021

Algorithms that zero in on solutions to optimization problems are the beating heart of machine reasoning. New results reveal surprising limits.

The Uselessness of Useful Knowledge

October 20, 2021

Today’s powerful but little-understood artificial intelligence breakthroughs echo past examples of unexpected scientific progress.

Neuron Bursts Can Mimic Famous AI Learning Strategy

October 18, 2021

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI.

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