DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

A Nigerian engineer is pioneering privacy-safe AI-driven sensing systems for smart spaces, focusing on human activity ...

This work constitutes a major scholarly contribution to information systems design and offers a pragmatic blueprint for retail enterprises seeking competitive advantage in a connected future.

Attribution isn’t about one clue — it’s about connecting many Attribution investigations almost never hinge on a single “gotcha” artifact. Most of the work happens in the messy middle: weak signals, ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

Explore how AI is transforming risk management in banking, enhancing credit assessments and compliance automation, while ...

MbrAIn will help brands diagnose growth, planning decisions and build accountable full-funnel strategies across the 4Cs - ...

CES 2026 is finally here, and Mashable reporters are on the ground looking for the best in show. Get live updates from the ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Tension: We segment customers to personalize marketing, yet most segmentation strategies reveal how little we understand ...