Abstract: Accurate traffic flow measurement is essential for the development of smart cities, yet the deployment of ubiquitous monitoring sensors using traditional methods is often cost-prohibitive.

Abstract: With the rapid growth of electric vehicle (EV) adoption, ensuring the reliability and safety of their battery systems is of significant importance. Current anomaly detection methods, which ...

PyTorch reimplementation of "Deep Hierarchical Planning" RL framework. Features a multi-model architecture with manager-worker policies, world model, and goal autoencoder. Built with Python/PyTorch ...

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...

Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...

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 ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

有一家名为 CuspAI 的英国 AI 材料公司，它吸引到诺奖得主、“深度学习三巨头”之一的杰弗里·辛顿（Geoffrey Hinton）担任其顾问。与此同时，同样是“深度学习三巨头”之一的杨立昆（Yann LeCun）也公开表示其所在的 Meta ...

ICS are particularly vulnerable because they often rely on legacy systems, lack strong authentication, and cannot tolerate downtime, the study says. To address these weaknesses, the researchers ...