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

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

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...

Lawrence Berkeley National Laboratory (Berkeley Lab) is working to transform petabytes of imaging data from advanced light ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

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 ...

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 ...

BITS Pilani has launched 2 new courses on AI, Machine Learning and Cybersecurity. The enrolment process is ongoing on official website.