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computer science

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neural networks

Researchers Build AI That Builds AI

By Anil Ananthaswamy
January 25, 2022
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By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.

An illustration of a locomotive pulling train cars, with math symbols piled in the caboose.
computational complexity

Computer Scientists Eliminate Pesky Quantum Computations

By Nick Thieme
January 19, 2022
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For years, intermediate measurements made it hard to quantify the complexity of quantum algorithms. New work establishes that those measurements aren’t necessary after all.

Illustration of two interweaving chains, one blue and one orange, against a blue background.
information theory

Qubits Can Be as Safe as Bits, Researchers Show

By Mordechai Rorvig
January 6, 2022
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A new result shows that quantum information can theoretically be protected from errors just as well as classical information can.

2021 in Review

The Year in Math and Computer Science

By Bill Andrews
December 23, 2021
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Mathematicians and computer scientists answered major questions in topology, set theory and even physics, even as computers continued to grow more capable.

Illustration showing a human understanding text while a machine doesn’t.
Quantized Columns

What Does It Mean for AI to Understand?

By Melanie Mitchell
December 16, 2021
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It’s simple enough for AI to seem to comprehend data, but devising a true test of a machine’s knowledge has proved difficult.

An illustration of a mathematician on a ladder stringing red and blue beads against a tiled red backdrop dotted with blue circles.
combinatorics

Mathematician Hurls Structure and Disorder Into Century-Old Problem

By Erica Klarreich
December 15, 2021
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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.”

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.


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