Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Public safety and efficient urban planning remain pressing challenges in Nigeria. From congested cities to crime hotspots and disaster-prone areas caused mostly by floods, authorities often lack the ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

For SMBs, observability isn’t about enterprise-scale tooling. It’s about smarter spending and sustainable growth.

As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

Chatbots and fraud prevention applications are becoming more common, but banks are still doing the essential data work needed so AI can do the more ambitious work around investment recommendations.