Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Abstract: Recently, Internet of Things (IoT) devices have been installed everywhere, and these devices are connected through wireless communication networks. In particular, unmanned aerial vehicles ...
Alpha Release Notice (0.1.0-alpha.1 · 2025-09-27) This is the first public alpha. APIs may change; performance paths are under active tuning. Please pin exact ...
At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working ...
The rapid escalation in tourist visitation poses significant challenges, including traffic congestion, overcapacity at scenic attractions, heightened risks of safety incidents, and diminished visitor ...
Abstract: Perception of vehicle operating status plays a crucial role in improving traffic flow efficiency and safety. However, due to the influence of complex environmental factors and traffic ...
Physics-informed propellant combustion and nozzle performance simulator with an optional TensorFlow surrogate for specific impulse. Computes exhaust velocity, thrust, Isp, temp/pressure profiles, wall ...
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