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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.
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.
An Applied Mathematician With an Unexpected Toolbox
Lek-Heng Lim uses tools from algebra, geometry and topology to answer questions in machine learning.
To Teach Computers Math, Researchers Merge AI Approaches
Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change.