Artificial intelligence
fromTheregister
13 hours agoWho is liable when AI agents go wrong in business?
AI agents in business decision-making raise questions about accountability and risk distribution among vendors and users.
Qi Sun's DrayEasy platform exemplifies a significant advancement in logistics, merging quoting, booking, and real-time tracking into a seamless automated experience for shippers.
AI agents need skills - specific procedural knowledge - to perform tasks well, but they can't teach themselves, a new research suggests. The authors of the research have developed a new benchmark, SkillsBench, which evaluates agentic AI performance on 84 tasks across 11 domains including healthcare, manufacturing, cybersecurity and software engineering. The researchers looked at each task under three conditions: