MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
DoorDash deploys SafeChat, an AI-driven safety system for moderating chat, images, and voice calls between Dashers and ...