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.

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

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

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.

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 ...

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 ...

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official diagnosis. By using machine learning to analyze clinical notes in electronic ...

Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

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 ...

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