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Symbolic Mathematics Finally Yields to Neural Networks

May 20, 2020

After translating some of math’s complicated equations, researchers have created an AI system that they hope will answer even bigger questions.

Common Sense Comes Closer to Computers

April 30, 2020

The problem of common-sense reasoning has plagued the field of artificial intelligence for over 50 years. Now a new approach, borrowing from two disparate lines of thinking, has made important progress.

Q&A

The Computer Scientist Who Can’t Stop Telling Stories

April 16, 2020

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

Q&A

Cryptography Pioneer Seeks Secure Elections the Low-Tech Way

March 12, 2020

Ronald Rivest helped come up with the RSA algorithm, which safeguards online commerce. Now he’s hoping to make democratic elections more trustworthy.

Landmark Computer Science Proof Cascades Through Physics and Math

March 4, 2020

Computer scientists established a new boundary on computationally verifiable knowledge. In doing so, they solved major open problems in quantum mechanics and pure mathematics.

Artificial Intelligence Will Do What We Ask. That’s a Problem.

January 30, 2020

By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.

Why I’m Hosting The Joy of x Podcast

January 15, 2020

The noted mathematician and author Steven Strogatz explains why he wanted to share intimate conversations with leading researchers from diverse fields in his new podcast.

An Idea From Physics Helps AI See in Higher Dimensions

January 9, 2020

The laws of physics stay the same no matter one’s perspective. Now this idea is allowing computers to detect features in curved and higher-dimensional space.

The Year in Math and Computer Science

December 23, 2019

Mathematicians and computer scientists made big progress in number theory, graph theory, machine learning and quantum computing, even as they reexamined our fundamental understanding of mathematics and neural networks.

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