The assessment of mutagenicity is essential in drug discovery, as it may lead to cancer and germ cells damage. Although in silico methods have been proposed for mutagenicity prediction, their ...

Active machine learning is widely used in computational studies where repeated numerical simulations can be conducted on high performance computers without human intervention. But translation of these ...

Objectives Active learning strategies, including case-based learning (CBL), problem-based learning (PBL) and team-based ...

During the past six months, we have witnessed some incredible developments in AI. The release of Stable Diffusion forever changed the artworld, and ChatGPT-3 shook up the internet with its ability to ...

Active learning puts students at the center of the learning process by encouraging them to engage, reflect, and apply what they’re learning in meaningful ways. Rather than passively receiving ...

Active learning, or instructional methods that actively engage students in their own learning, is on the rise. So, too, are physical spaces dedicated to this kind of teaching. These are positive ...

Traditional lectures are efficient at delivering information, especially for large courses with limited teaching support. Lectures, however, are often inefficient at engaging students to create ...