A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

At the turn of the millennium, choosing a uni was a tactile ritual. With a highlighter in hand, I relied on the "thud" of a heavy course directory and the unshakable belief that the prestige of a ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

A new platform called Rentahuman.ai flips the usual narrative about AI. Instead of people hiring software to do tasks, ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

Young people are taking to social media and other platforms to carve out algorithmic spaces for French speakers ...

I’m finally ready to say it: YouTube Music is the best streaming service on the market, and it has nothing to do with its ...

When AI prioritizes uniform productivity, it excludes. When it accounts for human variability, it unlocks overlooked talent.

We know it does not resolve every concern about artificial intelligence, but we know we need to keep humans in the loop when ...

More HR decisions are made with AI but trust and transparency issues hobble a quick transition. What once took Monica Seiter ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

The recent FBR's 2025 reform roadmap shows that AI and advanced data analytics are no longer experimental tools. They are ...