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More accurate coding: Researchers adapt Sequential Monte Carlo for AI-generated code
Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI-generated code better.
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Robot see, robot do: System learns after watching how-to videos
Cornell University researchers have developed a new robotic framework powered by artificial intelligence—called RHyME ...
SWiRL: The business case for AI that thinks like your best problem-solvers
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers from Stanford University and Google DeepMind have unveiled ...