Causal AI adapts in real time, learning from every shift. Here’s why it outperforms static models when the market won’t sit ...

The official source code for Linear-Layer-Enhanced Quantum Long Short-Term Memory for Carbon Price Forecasting, accepted at Quantum Machine Intelligence (July 2023). This code implements the quantum ...

A material model for ferrite is presented, enabling an accurate calculation of the core losses from 100 to 1000 kHz with a single set of scalar parameters over a decade of excitation current. It is ...

The accurate prediction of short-term power load is a critical element for maintaining the normal and stable operation of the power system. For short-term power load forecasting, the collected power ...

Learn how Pigment’s AI-driven platform transforms planning, forecasting, budgeting, and decision-making with cutting-edge ...

Using 2023 and 2024 as test years, Google’s model had a 5-day track prediction, on average, “140 km closer to the true cyclone location than ENS — the leading global physics-based ensemble ...

The market raised the odds of an August rate cut following last week’s labour market and GDP numbers, which mechanically weighed on domestic bond yields and the Pound. However, an adjustment in ...

June 13, 2025 The GIST AI-powered model improves ozone pollution forecasting by Zhang Nannan, Chinese Academy of Sciences edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...