AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

San Francisco-based CoreStory is working to speed up the software modernization workflow. The company has developed an ...

The second system, called MAGNET-AD, employs a graph neural network to detect Alzheimer’s disease before symptoms appear. It predicts both a patient’s cognitive performance score (PACC) and the time ...

Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

For years, we have watched large language models (LLMs) capture our imagination. ChatGPT writes emails, Gemini provides answers, and Llama powers a wide range of applications. But behind their ...

KERR COUNTY, Texas — THE TEXAS TRIBUNE - Only about one-fifth of applicants for federal disaster assistance from Kerr County have been deemed eligible to get financial help so far, leaving hundreds ...

Companies that require more advanced AI features can use Foundry with AIP, the second Palantir product for which Snowflake has rolled out an integration. AIP can be used to automate business tasks ...

Discover the best AI tools for weather forecasting that help businesses improve prediction accuracy, optimize operations, and ...

Abstract: Explainability is crucial for the deployment of Graph Neural Networks (GNNs) in real-world applications. Unfortunately, existing explanation methods primarily focus on identifying important ...