AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ...
An exploration of autonomous AI agents as non-human identities, why classic risk models fail, and how zero-trust, guardrails, ...
New evidence of “lost” ancient medieval manuscripts is being uncovered by researchers using computer simulations—but there's a problem.
It's likely we'll soon have the “hybrid workforce” running the modern enterprise, and the role of a human ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
TestMu AI (Formerly LambdaTest) is the world's first full-stack AI Agentic Quality Engineering platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers ...
Abstract: The operation of hydropower plants are significantly challenged by extreme heatwave events. This paper integrates artificial intelligence and a physics-based model to introduce an efficient ...
AgentEvolver is an end-to-end, self-evolving training framework that unifies self-questioning, self-navigating, and self-attributing into a cohesive system. It empowers agents to autonomously improve ...
Abstract: Multi-connectivity involves dynamic cluster formation among distributed access points (APs) and coordinated resource allocation from these APs, highlighting the need for efficient mobility ...
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