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Streamlining AI development for transparent nuclear engineering modelsAs nuclear energy ramps up to move towards decarbonization goals, machine learning and AI techniques offer potential to speed ...
The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat.
The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized how businesses operate, ...
Meta AI has announced LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges ...
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Automating penmanship: Researchers develop cost-effective, AI-enhanced robotic handwriting systemRecent advances in robotics and artificial intelligence (AI) are enabling the development of a wide range of systems with ...
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COMET model enhances disease prediction with deep learningResearchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...
Hari Gupta's machine learning-powered incentive platform at Lyft revolutionized user engagement by automating incentive ...
Researchers at the Johns Hopkins APL have found a way to use machine learning to improve defect detection for LPBF.
Indicators for Gleevec nonadherence were cognitive functioning, global health status score, social support, gender and others ...
This principle is exploited in drug development: drug molecules are ... “One of the key challenges of machine learning approaches is their generalization ability, or how well the method works ...
A team led by Singapore General Hospital (SGH), in collaboration with SingHealth Polyclinics (SHP) and national HealthTech ...
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