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 ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
By Kenrick Cai LAS VEGAS, April 22 (Reuters) - Alphabet is deepening a push into enterprise software, signaling to investors ...
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Do AI language models 'understand' the real world? On a basic level they do, suggests study
Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its ...
As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...
Target identification is the first and perhaps most critical step in drug discovery and development. Although the human ...
Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...
New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...
Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...
MachineTranslation.com expands its AI pool with two new large language models – Aya Expanse 32B by Cohere and MiniMax M2.7 ...
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