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.
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
2don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
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 ...
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 ...
Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...
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 redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
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