Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
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 ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
3don MSN
Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
DoorDash deploys SafeChat, an AI-driven safety system for moderating chat, images, and voice calls between Dashers and ...
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