Traditional educational systems focused on prescribed, curriculum-defined courses of study impose societal expectations and limit student autonomy and personalized learning. To propose radical transformation to current educational systems, a team of researchers conducted an ecological analysis. Their proposed ‘school within a school’ approach can aid the utilization of artificial intelligence tools in education and equip students to face the challenges of the modern age.

A new study led by The University of Texas at Arlington, University of California Los Angeles, University of Sherbrooke, and Harvard University links metal exposure to digestive issues in children

Ulrich Steidl, M.D., Ph.D., professor and chair of cell biology at Albert Einstein College of Medicine and deputy director at the National Cancer Institute-designated Montefiore Einstein Comprehensive Cancer Center, has been elected a member of the Association of American Physicians (AAP), a prestigious 140-year-old honorary society dedicated to advancing medical knowledge through basic and clinical science.

Large language models (LLMs) are at the forefront of artificial intelligence (AI) and have been widely used for conversational interactions. However, assessing the personality of a given LLM remains a significant challenge. A research team at The Hong Kong Polytechnic University (PolyU) has developed an AI-driven assessment system, the Language Model Linguistic Personality Assessment (LMLPA), with capabilities to quantitatively measure the personality traits of LLMs through linguistic analysis.