With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
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