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 ...

"The papers and data we've presented at the November IEEE conference show how Verseon's advances in AI produce superior results in life-science applications," said Verseon's Head of AI Ed Ratner. "Our ...

To achieve true autonomy, AI systems must integrate both neural networks (for learning and pattern recognition) and symbolic AI (for structured knowledge and reasoning). This fusion, known as ...

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

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 ...

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 ...

The company recently presented clinical data at the European Society for Medical Oncology Congress for an investigational ...

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

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 ...

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

Cloud-native observability company Chronosphere Inc. today announced the launch of AI-Guided Troubleshooting capabilities, an advancement that helps engineering teams investigate and resolve ...