Researchers have developed a new artificial intelligence architecture that models cellular processes by integrating genomic, transcriptomic, and proteomic data in a biologically inspired manner.
A new study explores how interactive, AI-powered robots are helping non-Chinese speaking students overcome language barriers and build confidence in Cantonese.
A new unified artificial intelligence model demonstrates the power of cross-disciplinary learning, achieving top results in diverse fields from weather prediction to medical image analysis.
New research details a framework for human-robot teams to collaborate on complex assembly tasks, bridging the gap between visual understanding and coordinated action.
A new review examines how accurately capturing the full range of protein motion – especially in ‘fold-switching’ proteins – is pushing the limits of current computational methods.
A new platform combines the power of large language models with realistic robotic simulations, making complex programming skills accessible through simple, natural language commands.
A new study investigates how the growing use of artificial intelligence libraries is reshaping the landscape of open source software development.
Researchers have developed a novel framework that enables robots to perform emotionally resonant singing, bridging the gap between mechanical movements and authentic artistic expression.
New research suggests surprisingly few biological details dictate how the brain processes information, with implications for both neuroscience and artificial intelligence.
A new benchmark assesses whether large language models can move beyond data analysis and contribute to genuine scientific discovery in complex biological systems.