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 ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...
Google Cloud has inked a new agreement with Thinking Machines Labs to provide the startup with expanded access to its ...
New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...
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