Using 'counterfactuals' to verify predictions of drug safety

Scientists rely increasingly on models trained with machine learning to provide solutions to complex problems. But how do we know the solutions are trustworthy when the complex algorithms the models use are not easily interrogated ...

Citizen scientists find 10,000 new variable stars

Volunteer citizen scientists parsing data from a network of telescopes around the world this year identified 10,000 new variable stars in the Milky Way, according to a recent paper.

AI learns physics to optimize particle accelerator performance

Machine learning, a form of artificial intelligence, vastly speeds up computational tasks and enables new technology in areas as broad as speech and image recognition, self-driving cars, stock market trading and medical diagnosis.

Computer-assisted biology: Decoding noisy data to predict cell growth

Scientists from The University of Tokyo Institute of Industrial Science have designed a machine learning algorithm to predict the size of an individual cell as it grows and divides. By using an artificial neural network that ...

Machine learning speeds up simulations in material science

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence (AI) autonomously acquires ...

Virtually unlimited solar cell experiments

Osaka University researchers employed machine learning to design new polymers for use in photovoltaic devices. After virtually screening over 200,000 candidate materials, they synthesized one of the most promising and found ...

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