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Computer Science

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

Cryptography That Is Provably Secure

April 2, 2019

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

March 11, 2019

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?

Photo of Been Kim

A New Approach to Understanding How Machines Think

January 10, 2019

Neural networks are famously incomprehensible, so Been Kim is developing a “translator for humans.”

Art for "How Space and Time Could Be a Quantum Error-Correcting Code"

How Space and Time Could Be a Quantum Error-Correcting Code

January 3, 2019

The same codes needed to thwart errors in quantum computers may also give the fabric of space-time its intrinsic robustness.

Mathematics - abstract illustration
2018 in Review

The Year in Math and Computer Science

December 21, 2018

Several mathematicians under the age of 30 left their marks all over the field, and amateur problem-solvers of all ages made significant contributions to long-dormant puzzles.

Art for "Milestone Experiment Proves Quantum Communication Really Is Faster"
quantum computing

Milestone Experiment Proves Quantum Communication Really Is Faster

December 19, 2018

In a Paris lab, researchers have shown for the first time that quantum methods of transmitting information are superior to classical ones.

Illustration of lock with polynomials surrounding it
Abstractions blog

Mathematicians Seal Back Door to Breaking RSA Encryption

December 17, 2018

Digital security depends on the difficulty of factoring large numbers. A new proof shows why one method for breaking digital encryption won’t work.

Photo of Urmila Mahadev
quantum computing

Graduate Student Solves Quantum Verification Problem

October 8, 2018

Urmila Mahadev spent eight years in graduate school solving one of the most basic questions in quantum computation: How do you know whether a quantum computer has done anything quantum at all?

Art for "Machine Learning Confronts the Elephant in the Room"
artificial intelligence

Machine Learning Confronts the Elephant in the Room

September 20, 2018

A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.