CAMBRIDGE, MA - Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, is akin to finding a needle in a haystack. Engineers often ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

Large language models already read, write, and answer questions with striking skill. They do this by training on vast libraries of text. Once that training ends, though, the model’s knowledge largely ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

DeepSeek today released an improved version of its DeepSeek-V3 large language model under a new open-source license. Software developer and blogger Simon Willison was first to report the update.

Bulls**t Automation: Generative AI services are tickling the imagination of every single CEO in the tech industry right now. They are expected to replace millions of workers and automate almost ...

Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

CAMBRIDGE, Mass. - April 29, 2026. Researchers at the Massachusetts Institute of Technology have introduced Bioinspired123D, ...

MIT researchers have developed an 'instance-adaptive scaling' method that lets large language models dynamically adjust computational effort based on problem difficulty, improving efficiency without ...

Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...