Abstract: Control parameter tuning is a well recognized challenge in the control field, especially in the absence of a priori knowledge on the system dynamics. Autopilots are a natural representation ...

Abstract: In supervised-learning-based active sonar classification overcoming data set shifts through standard fine-tuning is challenging due to the limited size and diversity of active sonar data ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Before they could attend school football games or school plays, high school students across California had to give their personal information over to a ticketing platform, GoFan, which then sold that ...

Fifteen RCTs demonstrated heterogeneous PROM integration, most frequently using EORTC QLQ-C30 and EQ-5D, with assessments spanning baseline, on-treatment, and survivorship timepoints across functional ...

Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Amplifying words and ideas to separate the ordinary from the ...

Add Decrypt as your preferred source to see more of our stories on Google. Ethereum increased its blob target to 14 and the blob limit to 21 in a planned fork. On-chain data shows blob usage remains ...

Microsoft’s internal big-data infrastructure is one of the largest in the world—with over 300k machines running billions of tasks from over 0.6M daily jobs. Operating this infrastructure is a costly ...

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Hi, thanks for sharing the great work. I would love to adapt your mechanism into my project. However, I have some questions that I hope you can help address. You mentioned "For robust training, ...

A new study shows that fine-tuning ChatGPT on even small amounts of bad data can make it unsafe, unreliable, and veer it wildly off-topic. Just 10% of wrong answers in training data begins to break ...