The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Recent trials using quantum hardware demonstrate how advanced computing can expose hidden criminal networks and transform global financial crime prevention ...

Rohirrim, the leading provider of secure, domain-aware generative AI solutions for enterprise and government proposal and acquisition automation, today announced that its UnifiedAcquire(TM) platform ...

Discover how artificial intelligence is enhancing fraud detection across online platforms, using real-time analytics and ...

By observing how health data changes over time, artificial intelligence can help identify “tipping points” when a patient’s ...

AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.

The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...

Built on an integrated end-to-end architecture of Construct-Align-Reason (CAR), LOM enables AI, for the first time, to autonomously construct structured business logic system from raw enterprise data ...

What is clear is that Meta Platforms was very good at architecting DLRM systems running R&R training and R&R inference, but ...

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...