MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
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 ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Learn how to find and make the best use of valuable insights buried in your company’s databases.
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...