Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
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. 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 ...
Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...
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 ...
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 ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
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