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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.

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?

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.

New AI Strategy Mimics How Brains Learn to Smell

September 18, 2018

Machine learning techniques are commonly based on how the visual system processes information. To beat their limitations, scientists are drawing inspiration from the sense of smell.

The New Science of Seeing Around Corners

August 30, 2018

Computer vision researchers have uncovered a world of visual signals hiding in our midst, including subtle motions that betray what’s being said and faint images of what’s around a corner.

Universal Method to Sort Complex Information Found

August 13, 2018

The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way.

A Poet of Computation Who Uncovers Distant Truths

August 1, 2018

The theoretical computer scientist Constantinos Daskalakis has won the Rolf Nevanlinna Prize for explicating core questions in game theory and machine learning.

Major Quantum Computing Advance Made Obsolete by Teenager

July 31, 2018

18-year-old Ewin Tang has proven that classical computers can solve the “recommendation problem” nearly as fast as quantum computers. The result eliminates one of the best examples of quantum speedup.

A Short Guide to Hard Problems

July 16, 2018

What’s easy for a computer to do, and what’s almost impossible? Those questions form the core of computational complexity. We present a map of the landscape.

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