Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and their international collaborators have made a discovery that bridges artificial intelligence and nuclear ...
Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform that uses advanced AI to analyze multiple types of biological data and more accurately predict complex ...
Scientists at NYU Abu Dhabi have developed a powerful new artificial intelligence tool called LA⁴SR that can rapidly identify previously overlooked proteins in microalgae—tiny organisms that produce much of Earth's oxygen ...
During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of cells.
Researchers at the University of Hawaiʻi Institute for Astronomy (IfA) are helping reshape how scientists study the sun. The UH-led team has developed a new artificial intelligence (AI) tool that can map the sun's magnetic ...
New psychoactive substances, originally developed as potential analgesics but abandoned due to adverse side effects, may still have pharmaceutical value if researchers could nail down the causes of those side effects. A ...
Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
Inside cells, RNAs and proteins form tiny, liquid-like droplets called biomolecular condensates. These droplets are essential for organizing cellular life, yet why some RNAs cluster more readily than others has remained unclear. ...
A paper published in Biology Methods and Protocols, finds that it is now possible to distinguish wild from farmed salmon using deep learning, potentially greatly improving strategies for environmental protection. The paper ...
