Opinion
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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 ...
A study analyzing data from thousands of Brazilian municipalities identified regions with the greatest potential for ...
Artificial Intelligence (AI) has shown strong potential in supporting clinical decision-making through Clinical Decision Support Systems (CDSSs). However, ...
Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...
Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
From a chatbot that refuses to delete its peers to decades-old promises of frictionless, jobless offices that produced more work, the future keeps arriving with less revolution and more irony. Layer ...
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