Researchers at Hebrew University have used artificial intelligence to identify 92 promising new sugar substitutes from a database of over 50 million chemical compounds—a discovery that could reshape the global sweetener industry and solve one of its most frustrating problems: that bitter aftertaste.

Dr. Shayma El-Atawneh and Professor Amiram Goldblum developed a computational framework combining AI and molecular modeling to rapidly screen candidates for viability and taste quality. Published in Food Chemistry, the study demonstrates how machine learning can accelerate innovation in food science while tackling a persistent challenge that has limited alternatives to traditional sugar for decades. Read the full story →

Today's takeaway: AI-powered discovery could finally bring better-tasting sugar alternatives to market, supporting both public health and sustainable food innovation.