Experts say ABC represents a major step forward in bio-inspired computing. By replicating the collective intelligence and ...
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A new route to optimize AI hardware: Homodyne gradient extraction
A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...
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Cracking the code of complexity in computer science's P vs. NP problem
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...
Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...
Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...
Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
The new model is designed to solve complex problems across a small handful of fields, but OpenAI says the model performs similarly to Ph.D. students in those tasks. Imad is a senior reporter covering ...
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How modified robotic prosthetics could help address hip and back problems for amputees
Researchers have developed a new algorithm that combines two processes for personalizing robotic prosthetic devices to both ...
The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...
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