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 ...

At the Learning & Design (LeaD) Lab, we harness the intellectual capacity of William & Mary to engage, empower, and lead our partners and the community beyond campus through impactful professional ...

A dynamic discussion on how research-informed, intentionally designed learning environments can positively impact student focus, behavior, and achievement.

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 ...

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 ...