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 MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

MIT study finds cross-model uncertainty measurement outperforms traditional methods in spotting unreliable AI predictions ...

As great as generative AI looks, researchers at Harvard, MIT, the University of Chicago, and Cornell concluded that LLMs are not as reliable as we believe. Even a big company like Nintendo did not ...

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 ...