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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 ...
Scientists say they’ve developed a framework to make computer algorithms “safer” to use without creating bias based on race, gender or other factors. The trick, they say, is to make it possible for ...
Researchers have found a new approach to incorporating the larger web of relevant data for predictive modeling for individual and community health outcomes. In the U.S., the place where one was born, ...
Artificial Intelligence (AI) bias is an anomaly in the output of machine learning (ML) algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...
Imagine a world where artificial intelligence not only understands language but creates with it, where quantum systems no longer feel like an enigma but a solvable puzzle. It might sound like science ...
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