The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...

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aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...

Doe-1 is the first closed-loop autonomous driving model for unified perception, prediction, and planning. We formulate autonomous driving as a unified next-token generation problem and use observation ...

Abstract: Load forecasting and renewable energy forecasting are fundamental for the optimization and scheduling of new power systems, which play a crucial role in ensuring the safe, stable, and ...

We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...

Abstract: Machine learning (ML) based network attack traffic detection is an emerging security paradigm, which is capable of capturing various advanced network attacks according to the features of ...