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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
AI is transforming medicine by improving diagnostics, personalized treatments, and operational efficiency. Key opportunities ...
CLEVELAND, Ohio — Case Western Reserve University researchers have received a $6.2 million grant to identify new genetic ...
A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to study schizophrenia and depression.
Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...
AI in mental health presents opportunities in diagnostics enhancement, personalized treatments, and patient engagement ...
Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...
The Centre for Brain Research at the Indian Institute of Science has launched an artificial intelligence challenge worth Rs 2 ...
Is Alzheimer's a gut disease? AI research links appendix removal and specific dietary patterns to a significantly higher risk ...
Indian American researcher investigating what happens when AI agents leave the digital world for the physical world.
Artificial Intelligence (AI) is emerging as a practical enabler of the evolving power grid as wind and solar power bring ...
The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
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