Verseon has presented two separate papers at the November 2025 IEEE International Conference on Future Machine Learning and Data Science that demonstrate the advantages of its VersAI™ platform in the ...

Graph neural networks (GNNs) have rapidly emerged as a central methodology for analysing complex datasets presented as graphs, where entities are interconnected through diverse relationships. By ...

TAMPA, FLORIDA, UNITED STATES, February 7, 2024 /EINPresswire.com/ -- The Tampa Bay company, Equitus AI announces the launch of KGNN (pronounced ‘Kajun’), the ...

As the use of AI spreads through every industry and becomes more of a part of our lives every day, researchers are also ...

Treatment patterns of metastatic urothelial cancer in the United States. Prediction of immune checkpoint inhibitor (ICI) response in patients with urothelial cancer (UC) by a novel RNA-based ICI ...

That problem is why, even though we’ve had success finding enzymes that break down common plastics like polyesters and PET, they’re only partial solutions to plastic waste. However, researchers aren’t ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, ...

Nowadays, compute-intensive programs, like those for training artificial intelligence and machine learning models, are used extensively. Modern ...

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

The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...