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artificial intelligence

AI Researchers Fight Noise by Turning to Biology

By Allison Whitten
December 7, 2021
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Tiny amounts of artificial noise can fool neural networks, but not humans. Some researchers are looking to neuroscience for a fix.

information theory

Researchers Defeat Randomness to Create Ideal Code

By Mordechai Rorvig
November 24, 2021
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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.

Orange spheres representing quantum bits.
explainers

How Quantum Computers Will Correct Their Errors

By Katie McCormick
November 16, 2021
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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.

Photo of Anne Carpenter of the Broad Institute standing in front of a wall of colored microscopy images.
Q&A

Her Machine Learning Tools Pull Insights From Cell Images

By Esther Landhuis
November 2, 2021
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The computational biologist Anne Carpenter creates software that brings the power of machine learning to researchers seeking answers in mountains of cell images.

A graphic of global air travel.
polynomials

Surprising Limits Discovered in Quest for Optimal Solutions

By Max G. Levy
November 1, 2021
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Algorithms that zero in on solutions to optimization problems are the beating heart of machine reasoning. New results reveal surprising limits.

Illustration of a figure working on a laptop surrounded by flasks and liquids evaporating into discrete shapes in the air.
Quantized Columns

The Uselessness of Useful Knowledge

By Robbert Dijkgraaf
October 20, 2021
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Today’s powerful but little-understood artificial intelligence breakthroughs echo past examples of unexpected scientific progress.

an artistic representation of a brain in a dish on a blue table with enlarged neurons and a neural network, against a red background with a signal of neural bursts
neural networks

Neuron Bursts Can Mimic Famous AI Learning Strategy

By Allison Whitten
October 18, 2021
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A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI.

neural networks

A New Link to an Old Model Could Crack the Mystery of Deep Learning

By Anil Ananthaswamy
October 11, 2021
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To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.

A video of masks swirling around.
quantum computing

Major Quantum Computing Strategy Suffers Serious Setbacks

By Philip Ball
September 29, 2021
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So-called topological quantum computing would avoid many of the problems that stand in the way of full-scale quantum computers. But high-profile missteps have led some experts to question whether the field is fooling itself.


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