MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Understanding the HackerEarth setup helps you use the tools and see your progress better. Practicing coding problems, ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere and telescope to reach its sensor.

How a grad student got LHC data to play nice with quantum interference New approach is already having an impact on the experiment’s plans for future work.

Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms by John Peterson, The Conversation ...

How bees, beer cans and big data all solve the same problem: not enough space. By Steven Strogatz Photo illustrations by Jens Mortensen Each installment of “Math, Revealed” starts with an ...

Artificial intelligence alone is not the answer, says Charles Worthington of the U.S. Department of Veterans Affairs. Connecting AI-enabled insights like risk scoring to a larger healthcare program is ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.

Reduced tariffs on China mark the latest Trump administration effort to frame cleaning up a mess that the president created as a win.