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.
1don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. SavaĹź TaĹźoÄźlu from the Department of Mechanical Engineering at Koç University have ...
New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
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 ...
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 ...
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.
Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
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 ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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