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dateMore Than a Year Ago
subjectComputers And Society
authorQuanta Magazine
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An edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.


Alan Turing and the Power of Negative Thinking
From ACM News

Alan Turing and the Power of Negative Thinking

Mathematical proofs based on a technique called diagonalization can be relentlessly contrarian, but they help reveal the limits of algorithms.

Complexity Theory's 50-Year Journey to the Limits of Knowledge
From ACM News

Complexity Theory's 50-Year Journey to the Limits of Knowledge

How hard is it to prove that problems are hard to solve? Meta-complexity theorists have been asking questions like this for decades. A string of recent results...

The Most Important Machine That Was Never Built
From ACM News

The Most Important Machine That Was Never Built

When he invented Turing machines in 1936, Alan Turing also invented modern computing.

Researchers Discover a More Flexible Approach to Machine Learning
From ACM News

Researchers Discover a More Flexible Approach to Machine Learning

"Liquid" neural nets, based on a worm's nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability. ...

Finally, a Fast Algorithm for Shortest Paths on Negative Graphs
From ACM News

Finally, a Fast Algorithm for Shortest Paths on Negative Graphs

Researchers can now find the shortest route through a network nearly as fast as theoretically possible, even when some steps can cancel out others.

Physicists Create a Wormhole Using a Quantum Computer
From ACM News

Physicists Create a Wormhole Using a Quantum Computer

Exploring the possibility that space-time somehow emerges from quantum information.

Cryptography's Future Will Be Quantum-Safe. Here’s How It Will Work
From ACM News

Cryptography's Future Will Be Quantum-Safe. Here’s How It Will Work

Lattice cryptography promises to protect secrets from the attacks of far-future quantum computers.

Self-Taught AI Shows Similarities to How the Brain Works
From ACM News

Self-Taught AI Shows Similarities to How the Brain Works

Self-supervised learning allows a neural network to figure out for itself what matters. The process might be what makes our own brains so successful.

The Scientist Who Developed a New Way to Understand Communication
From ACM News

The Scientist Who Developed a New Way to Understand Communication

Mark Braverman has spent his career translating thorny problems into the language of information complexity.

By Exploring Virtual Worlds, AI Learns in New Ways
From ACM News

By Exploring Virtual Worlds, AI Learns in New Ways

Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategy to teach their virtual agents new skills...

Researchers Achieve 'Absurdly Fast' Algorithm for Network Flow
From ACM News

Researchers Achieve 'Absurdly Fast' Algorithm for Network Flow

Computer scientists can now solve a decades-old problem in practically the time it takes to write it down.

Researchers Identify 'Master Problem' Underlying All Cryptography
From ACM News

Researchers Identify 'Master Problem' Underlying All Cryptography

The existence of secure cryptography depends on one of the oldest questions in computational complexity.

AI Overcomes Stumbling Block on Brain-Inspired Hardware
From ACM News

AI Overcomes Stumbling Block on Brain-Inspired Hardware

Algorithms that use the brain's communication signal can now work on analog neuromorphic chips, which closely mimic our energy-efficient brains.

What Does It Mean for AI to Understand?
From ACM News

What Does It Mean for AI to Understand?

It's simple enough for AI to seem to comprehend data, but devising a true test of a machine's knowledge has proved difficult.

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

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

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

Matrix Multiplication Inches Closer to Mythic Goal
From ACM News

Matrix Multiplication Inches Closer to Mythic Goal

A recent paper set the fastest record for multiplying two matrices. But it also marks the end of the line for a method researchers have relied on for decades to...

Pioneers Linking Math and Computer Science Win the Abel Prize
From ACM News

Pioneers Linking Math and Computer Science Win the Abel Prize

Avi Wigderson and László Lovász won for their work developing complexity theory and graph theory, respectively, and for connecting the two fields.

Computer Scientists Achieve 'Crown Jewel' of Cryptography
From ACM News

Computer Scientists Achieve 'Crown Jewel' of Cryptography

A cryptographic master tool called indistinguishability obfuscation has for years seemed too good to be true. Three researchers have figured out that it can work...

The Computer Scientist Who Can’t Stop Telling Stories
From ACM News

The Computer Scientist Who Can’t Stop Telling Stories

For pioneering computer scientist Donald Knuth, good coding is synonymous with beautiful expression.

A New Approach to ­Understanding How Machines Think
From ACM News

A New Approach to ­Understanding How Machines Think

Been Kim is developing a "translator for humans" so that we can understand when artificial intelligence breaks down.
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