TART is a package for training and deploying task-agnostic reasoning modules which can be composed with arbitrary foundation models to improve in-context learning peformance for classification tasks.
Added support for AW-RP60 and AW-RP150 Added Load Presets 1-100 (Suported by: AW-RP60, AW-RP120, AW-RP150) Added Preset Tracing Start/Stop/Standby (Suported by: AW-RP120, AW-RP150) ...
For my money, there’s no greater malaise in modern gaming than stick drift. After forking out hundreds of dollars for a console and sometimes a similar fee for a top-of-the-line pro controller, seeing ...
Abstract: High electric fields at the edge of the substrate metallization can give rise to partial discharge within power electronic modules and can lead to eventual failure. This paper examines the ...
Abstract: This paper is concerned with distributed fault estimation and fault-tolerant control for interconnected systems. Based on the local and interconnected information relevant to neighbors, a ...
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