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 to potential problems in equipment like wind turbines or satellites.
MIT researchers use large language models to flag problems in complex systems." ScienceDaily. ScienceDaily, 13 August 2024. <www.sciencedaily.com
Engineers have developed a method to increase wind farms' energy output. Whereas individual turbines are typically controlled separately, the new approach models the wind flow of the entire ... Protected and rare bats regularly die at wind turbines . This is why the operation of new wind turbines is temporarily curtailed during periods of high bat activity. Old wind turbines run without ...
The now-familiar sight of traditional propeller wind turbines could be replaced in the future with wind farms containing more compact and efficient vertical turbines. New research has found that the ... Researchers have developed a deep learning-based algorithm to detect anomalies in time series data. The technology could provide advance warning of potential failures in systems ranging from ...New Technology Uses Light to Engrave Erasable 3D Images
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