When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult scientific problem, it's ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

AI didn’t just automate coding — it made software unserviceable, accountability fuzzy and risk-scalable, while boards pretend ...

AI delivers real value when it solves real problems. A problem‑first, domain‑driven approach turns AI from hype into scalable ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

Agentic AI reshapes SOC workflows by investigating 100% of alerts, reducing noise, accelerating hunting, and delivering over ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...

In effect, memory becomes a record of the agent's reasoning process, where any prior node may be recalled to inform future ...

Akaash Vishal Hazarika, a senior software engineer, explains how AI integration and prompt engineering are changing hiring in ...

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

A single AI-focused data center can consume as much electricity as 100,000 homes. Wood Mackenzie research found that global ...