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 ...
For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...
A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and ...
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Lasers turn parchment paper into high-performance electronic circuits
What if the next generation of disposable electronics—the sensors in your food packaging, the diagnostic strips in a medical ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...
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