Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Nvidia widely uses AI for different stages of the chip design process, though it admits that AI is a long way from designing ...

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

AI is moving from single tools to a digital workforce. Specialized micro agents do the work, while macro agents manage the ...

The market is overestimating AI disruption and misreading Duolingo management’s new strategy. Read why I rate DUOL stock as a ...

Sometimes action games can trick players into thinking the story is simple, before a huge twist changes everything for the ...

The death of enterprise software may be greatly exaggerated, but agentic AI will profoundly impact CIOs’ portfolios and ...

An artificial-intelligence revolution in biotechnology won’t get far without human taxonomic expertise — and that’s under ...

State lawmakers are increasingly scrutinizing employers’ use of AI and automated decision tools to set or influence employee ...

As AI matures from novelty to necessity, I believe 2026 will mark a turning point: the year creative professionals truly ...

When students are introduced to most new topics, schools can slowly scaffold learning. But that’s not been the case with ...

It is important to distinguish between AI development skills (used to build AI systems) and AI application skills ...