A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Abstract: In this paper, we propose a circuit yield prediction method to improve the efficiency of circuit yield prediction. Both traditional Monte Carlo simulation and the current popular machine ...

Fishing duo Cole and Jay take her to the promised land and smoke tons of fish. Federal judge orders Fulton County Georgia election case documents unsealed by Tuesday Seahawks coach Mike Macdonald in ...

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Accurate measurements of surface currents are crucial for coastal monitoring, rip current detection, and predicting the path of pollutants. Several methods exist to measure surface currents, some of ...

Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...

Bitcoin spot exchange-traded funds have experienced steep outflows over four trading days, losing a combined total of $1.62 billion. The exit has raised a question on whether hedge funds are ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Researchers found a mechanochemical way to store maximum hydrogen in perovskite, boosting ammonia production while saving energy and supporting sustainability. (Nanowerk News) Researchers led by Genki ...