Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern ...

In enterprise AI, the models that win won't be the largest. They'll be the ones that know exactly what they're built for.​​ ...

These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

WASHINGTON, May 7 (Reuters) - The National Highway Traffic Safety Administration said on Thursday the 2026 Tesla (TSLA.O), opens new tab Model Y is the first vehicle model to ‌pass the agency’s new ...

Rings can interpret gestures better than cameras or gloves, according to the study. These rings can quickly turn sign language into text. Macy is a writer on the AI Team. She covers how AI is changing ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

Mythos has triggered emergency responses from central banks and intelligence agencies globally, as Anthropic decides who has access to the powerful model. Credit...Pablo Delcan Supported by By Paul ...

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

LAS VEGAS – Language barriers remain a persistent challenge in healthcare, often leading to misunderstandings in discharge instructions that can increase medical risk and contribute to avoidable ...

In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...

We cannot anticipate every misuse or emergent behavior in AI systems. We can, however, identify what can go wrong, assess how bad it could be, and design systems that help reduce the likelihood or ...