The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
Morning Overview on MSN
Gray-box AI speeds catalyst discovery while explaining what drives results
A new class of artificial intelligence models is cutting the time needed to identify promising catalytic materials from weeks ...
A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.
S&P Global today announced the completion of its acquisition of Enertel AI Corporation, a company specializing in AI and machine learning-driven short-term power price forecasting for North American ...
Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, ...
Modern energy infrastructure is increasingly defined as cyber-physical systems where physical power distribution and digital ...
Graph Neural Networks (GNNs) are supposed to excel at graph-structured data. But on Elliptic++ Bitcoin fraud detection, a simple XGBoost model beats all GNN baselines by 49%. This repository ...
The prediction of the properties of crystal materials has always been a core issue in materials science and solid-state physics. With the rapid development of computer simulation techniques and ...
Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
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