Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...

Most AI transformations aim to generate value, not to learn. The most durable advantage comes from designing learning into ...

The dual agent AI system autonomously solved Anderson's conjecture from 2014 Rethlas explores problem-solving strategies like a human mathematician would Archon transforms potential proofs into ...

The agentic AI conversation in banking has matured in one direction and stalled in another. The maturity is real. Most institutions have moved past whether to deploy autonomous agents and are working ...

Kevuru Games developers tested AI agents inside real production pipelines and share what actually works. Insights every ...

Most health system AI conversations are still focused on the first wave: which tools to adopt, which workflows to automate, which vendors to evaluate. Nasim Afsar, chief AI and analytics officer at ...

Aggarwal believes that the employees who contribute directly to problem-solving are expected to become more valuable, while ...

Outcome-based resolution pricing means companies pay only when the AI agent resolves an issue autonomously, without human ...

From Jio Call Agent to AI-powered call screening, artificial intelligence is becoming an active participant in phone ...

Using AI chatbots for even just 10 minutes may have a shockingly negative impact on people’s ability to think and problem-solve, according to a new study from researchers at Carnegie Mellon, MIT, ...

XMPro Multi-Agent Generative Systems (MAGS) is the centrally-planned, physics-grounded operating layer for upstream, ...

The AI infrastructure earnings calls of the past eight quarters have given the public a precise vocabulary for what the build-out costs in capital. Hyperscaler GPU procurement. Power purchase ...