The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...

Understand Chapter 4 concepts on motion with constant acceleration in simple terms. This video explains formulas, examples, and applications—perfect for students and physics enthusiasts looking to ...

Learn how to analyze motion graphs in physics, including position-time and velocity-time graphs. This video explains slopes, areas, and motion behavior to help you clearly interpret real physics ...

Thank you, Tyler. Revenue growth and adjusted operating margin again outpaced our expectations. By segment, financial ...

Integration of Ceva's AI DSP in NXP's S32Z2 and S32E2 real-time processors enables predictive analytics, energy management and intelligent control for software-defined vehicles LAS VEGAS, Jan. 6, 2026 ...

Abstract: With the advancement of technology, the field of multi-channel time series forecasting has emerged as a focal point of research. In this context, spatio-temporal graph neural networks have ...

Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. David is ...

Abstract: Multivariate Time Series (MTS) forecasting is to accurately predict future trends through in-depth analysis of historical time series data, and to provide valuable reference to support for ...

To get started, head over to the latest release page on GitHub. From there, locate and download the ZIP file (ending with .zip). Once the download is complete, extract the ZIP file. On the first start ...

@article{jin2025expressive, title={Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting}, author={Ming Jin and Guangsi Shi and Yuan-Fang Li and Bo Xiong and Tian Zhou ...