A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.
To better understand how the brain processes information and generates behavior, researchers in Dr. Liqun Luo's lab have generated the FosTRAP and ArcTRAP mouse strains.