Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...

Bitcoin’s historic four-year halving cycles are still producing new highs, but each bull market peak has delivered smaller ...

This code is the official PyTorch implementation of our AAAI'26 paper: APN: Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. If you find this project helpful, please ...

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...

For each AI system making operational decisions in your organization, what does it know about the world outside your own data ...

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

A team at the Applied Physics Lab is working to understand the complex science behind predicting invisible threats that can ...

Scale Slimy Fish has a dynamic weather system that changes the weather conditions every few minutes. Certain weather conditions apply different buffs, including Luck Boost, increased mutation chances, ...

Abstract: Accurate prediction of wind power ramp events is critical for ensuring the reliability and stability of power systems. However, most existing research on wind ramp events forecasting ...

"Freeze the rent" became one of the mainstays of Zohran Mamdani's mayoral campaign. Now it's happening. On Thursday night, the Rent Guidelines Board, in a 7-1 vote, passed a rent freeze for roughly ...