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The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...
Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.
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Tech Xplore on MSNAI method reconstructs 3D scene details from simulated images using inverse rendering
Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.
Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough ...
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Live Science on MSNScientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made
Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.
Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...
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Tech Xplore on MSNSmart packaging reveals product condition through color changes
Research conducted at the University of Vaasa paves the way for smart packaging that indicates product condition through ...
An automated machine-learning method that analyzed sleep movements recorded with a conventional 2D camera may improve diagnosis of rapid eye movement sleep behavior disorder, according to a study ...
Larry Bradley is CEO & co-founder of SolasAI, an AI SaaS platform fixing model bias for Fortune 50 firms across finance, tech ...
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