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Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction ...

The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so ...

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Thanks largely to his explosive offense, coach Josh Heupel has helped Tennessee turn the tide in previously lopsided rivalry series with Alabama and Florida. He has also done a great job of protecting ...

If a future hurricane knocks down a big city's electricity supply, a floating nuclear power plant could be positioned off the coast to keep the lights on. It's a scenario closer to reality thanks to a ...

Abstract: Integrating information from vision and language modalities has sparked interesting applications in the fields of computer vision and natural language processing. Existing methods, though ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

As AI becomes deeply embedded across sectors, the quality of its foundations becomes more important. One trend receiving growing attention is the use of synthetic data – artificially generated ...

Researchers demonstrated how amino acids could spontaneously attach to RNA under early Earth-like conditions using thioesters, providing a long-sought clue to the origins of protein synthesis. This ...

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Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...