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The Computer Scientist Peering Inside AI’s Black Boxes
Cynthia Rudin wants machine learning models, responsible for increasingly important decisions, to show their work.
The Number 15 Describes the Secret Limit of an Infinite Grid
The “packing coloring” problem asks how many numbers are needed to fill an infinite grid so that identical numbers never get too close to one another. A new computer-assisted proof finds a surprisingly straightforward answer.
A New Approach to Computation Reimagines Artificial Intelligence
By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.
How Randomness Improves Algorithms
Unpredictability can help computer scientists solve otherwise intractable problems.
Bob Metcalfe, Ethernet Pioneer, Wins Turing Award
The American researcher was recognized for his central role in inventing, standardizing and commercializing the ubiquitous networking technology.
Surprise Computer Science Proof Stuns Mathematicians
For decades, mathematicians have been inching forward on a problem about which sets contain evenly spaced patterns of three numbers. Last month, two computer scientists blew past all of those results.
The Unpredictable Abilities Emerging From Large AI Models
Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.
The Researcher Who Would Teach Machines to Be Fair
Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.
In Neural Networks, Unbreakable Locks Can Hide Invisible Doors
Cryptographers have shown how perfect security can undermine machine learning models.