MIT this week showcased a new model for training robots. Rather than the standard set of focused data used to teach robots new tasks, the method goes big, mimicking the massive troves of information ...

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 ...

How can large language models (LLMs) be improved to perform simple tasks, as they are often designed to perform complex tasks? This is what a recently submitted study hopes to address as a team of ...

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 ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

New research shows that large language models rely on a central processing mechanism, much like the human brain's semantic hub, using English as a common framework to interpret diverse data types, ...

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 ...