With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
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 ...
Advancements in quantum imaging are transforming scientific research, offering unprecedented resolution and sensitivity for ...
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An AI approach for single-image-based 3D character animation with preserved proportions
In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology ...
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 ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...
Generative AI is accelerating password attacks against Active Directory, making credential abuse faster and more effective.
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