An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can do ...

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...

For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...

BOT or NOT? This special series explores the evolving relationship between humans and machines, examining the ways that robots, artificial intelligence and automation are impacting our work and lives.

Other than the growth mindset, I argue that five other beliefs are particularly important to promote in classrooms to help ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Science is usually one of the more hands-on subjects in middle school: Students design research questions, draw diagrams, and conduct experiments. But the country’s 8th graders are less likely to do ...

PARAMUS, N.J. — Savvas Learning Company, a next-generation K-12 learning solutions leader, today introduced the new edition of myView Literacy, its leading K-5 core English Language Arts (ELA) program ...