Kumo, a leader in predictive AI, today announced its launch of KumoRFM-2, the first foundation model to outperform fully supervised machine learning on enterprise relational data. Built by the team ...

Security researchers have demonstrated a new class of Rowhammer attacks targeting NVIDIA GPUs that can escalate from memory ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

As enterprises adopt AI, many are discovering that context, not model sophistication, determines whether systems can be ...

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 ...

Explore how AI-driven DAOs are managing billion-dollar treasuries with autonomous agents, reshaping decentralized finance, governance, and the future of digital asset management.

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

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 ...

AI investment is skyrocketing while AI’s impact on jobs and public perception remains mixed ...

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

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...

NeurIPS NeurIPS, or Neural Information Processing Systems, is pretty much the biggest gathering for anyone serious ...