Sutton and Barto developed reinforcement learning, a machine learning method that trains neural networks by offering them rewards in the form of numerical values.
Neil Savage
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Brain Implants Give People Back What They Lost
Researchers aim to have paralyzed patients use thoughts to control a prosthetic hand while physical sensations from the hand provide feedback.
A “mugshot to mugshot” comparison of two images of a face is essentially a solved problem thanks to neural networks, experts say.
Beyond Turing: Testing LLMs for Intelligence
Computer scientists have not developed a consensus on how to measure intelligence, or what exactly to measure.
Following his parents’ advice on a field of study put Avi Wigderson on a path that has led him to the ACM A.M. Turing Award.
Wigderson Named Turing Awardee for Decisive Work on Randomness
His groundbreaking contributions to theoretical computer science demonstrate the power and limitations of randomness in computation.
Can ChatGPT Learn Chinese or Swahili?
Large language models might act differently if trained in different languages.
Revamping Python for an AI World
Mojo has the same syntax as Python, but runs up to 35,000 times faster.
How do we keep track of the truth when bots are becoming increasingly skilled liars?
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