AI in drug discovery Artificial intelligence is rapidly transforming the way new drugs and therapeutic targets are discovered ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

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Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, Department of Bioinformatics and Computational Biology, School of ...

Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered Machine Learning (HCML), highlighting its work on responsible AI development.

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Abstract: Human action recognition systems are essential technologies used in many applications, including monitoring older adults and patient activities in healthcare, improving security systems by ...

What if the very nature of human thought—our creativity, intuition, and ability to connect ideas—was both our greatest strength and our most glaring limitation? In an era where artificial intelligence ...