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 ...

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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 ...

Dog and owner were killed at Tacoma homeless camp. Here's the gunman's sentence GOP-led Oversight Committee says Biden pardons signed by autopen are ‘void’ in final report Amazon Lays Off 14,000 ...

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 ...