The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Integrated structural and functional MRI identifies brain-based biomarkers that distinguish active from remissive Crohn’s ...

Open source enters 2026 as core enterprise infrastructure, with growing pressure around sustainability, governance, funding, ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Learning Resources v. Trump: Is the Supreme Court Ready to Grant the President “Sole Power” over the US Economy?

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Every frontier model breaks under sustained attack. Red teaming reveals the gap between offensive capability and defensive readiness has never been wider.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The top 10 PharmTech videos of the year cover advanced therapies, high-concentration biologics, major mergers and ...