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 ...
Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
Antimicrobial resistance (AMR) is an urgent and growing concern in global health, threatening the effectiveness of antibiotics and the management of ...
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