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computer science

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Abstractions blog

A New Law to Describe Quantum Computing’s Rise?

By Kevin Hartnett
June 18, 2019
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Neven’s law states that quantum computers are improving at a “doubly exponential” rate. If it holds, quantum supremacy is around the corner.

Art for "Computer Scientists Expand the Frontier of Verifiable Knowledge"
quantum information theory

Computer Scientists Expand the Frontier of Verifiable Knowledge

By Kevin Hartnett
May 23, 2019
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The universe of problems that a computer can check has grown. The researchers’ secret ingredient? Quantum entanglement.

Animated line drawing of Margaret Hamilton, Ellen Fetter, and a Lorenz attractor
chaos theory

The Hidden Heroines of Chaos

By Joshua Sokol
May 20, 2019
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Two women programmers played a pivotal role in the birth of chaos theory. Their previously untold story illustrates the changing status of computation in science.

Art for "A New Approach to Multiplication Opens the Door to Better Quantum Computers"
Abstractions blog

A New Approach to Multiplication Opens the Door to Better Quantum Computers

By Kevin Hartnett
April 24, 2019
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Quantum computers can’t selectively forget information. A new algorithm for multiplication shows a way around that problem.

Art for "Cryptography That Can’t Be Hacked"
computer security

Cryptography That Is Provably Secure

By Kevin Hartnett
April 2, 2019
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Researchers have just released hacker-proof cryptographic code — programs with the same level of invincibility as a mathematical proof.

machine learning

How Artificial Intelligence Is Changing Science

By Dan Falk
March 11, 2019
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The latest AI algorithms are probing the evolution of galaxies, calculating quantum wave functions, discovering new chemical compounds and more. Is there anything that scientists do that can’t be automated?

Art for "Neuroscience Readies for a Showdown Over Consciousness Ideas"
neuroscience

Neuroscience Readies for a Showdown Over Consciousness Ideas

By Philip Ball
March 6, 2019
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To make headway on the mystery of consciousness, some researchers are trying a rigorous new way to test competing theories.

artificial intelligence

Foundations Built for a General Theory of Neural Networks

By Kevin Hartnett
January 31, 2019
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Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will influence its function.

Photo of Been Kim
Q&A

A New Approach to Understanding How Machines Think

By John Pavlus
January 10, 2019
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Neural networks are famously incomprehensible, so Been Kim is developing a “translator for humans.”


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