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A security researcher designed a way to "weaponize" microcode updates to install ransomware directly onto the CPU. Rapid7 ...

By leveraging machine learning, we can provide a tool that helps policymakers and clinicians make more informed choices, ultimately improving the impact of genomic screening programs." Nina Gold ...

This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Who: Colin Raffel, 37, associate professor of computer science, University of Toronto, and associate research director at the Vector Institute Known for: Researching how to make machine learning ...

Acme, Mad Max: Fury Road, Happy Feet, Gravity), former Apple scientists and AI/Machine Learning experts Dr. Hubert Tsai and Dr. Wei-Cheng Kuo, and Rideback Co-CEOs Michael LoFaso and Jonathan Eirich.

A new paper by investigators from Mass General Brigham showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy.

A new paper by investigators from Mass General Brigham published in Nature showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...