Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

A team of UW undergrads studying applied math and computer science gained real-world experience through an AI internship with Royal Credit Union last summer, the basis of which is still being expanded ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

Microfactories are not just smaller replicas of mega-factories. They operate with radically different assumptions. Data is real-time and transient, not batch-processed. Production is modular, not ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...