Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

The era of manageable AI pilot projects in authorities is over. The federal government is building a "marketplace of possibilities." ...

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

AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...

Are You Effectively Managing Non-Human Identities in AI-Driven Cloud Security? Where technology underpins every business function, the security of machine identities—known as Non-Human Identities ...

Hydrogen peroxide is widely used but energy-intensive to produce. A new machine-learning framework helps find catalysts that ...

Tiny lab-grown brains are offering an unprecedented look at how schizophrenia and bipolar disorder disrupt neural activity.

Overview: AI-powered credit scoring uses advanced data analysis and machine learning to assess borrower risk more accurately than traditional models.Modern loan ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...