Is Your AI Agent Production-Ready? Review These Key Factors First

An agent’s ability to complete a task is important, but true readiness depends on how it performs when conditions change and ...
Semiconductor Engineering

A Self-Evolving Agent Framework That Treats Hardware Design as Repository-Level Code Evolution (Nvidia Research)

A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...
Forbes

Agentic AI At Scale Can Break Your Infrastructure Before It Transforms Your Business

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Enterprises are mistakenly treating agentic AI as advanced chatbots, leading to significant ...
GitHub

TestMu AI (Formerly LambdaTest) Skills

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 ...
IEEE

Integrated Artificial Intelligence and Physics-Based Modeling for Long-Term Cascaded Hydropower Scheduling Under Extreme Heat Events

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 ...
VentureBeat

Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models to ...
The Washington Post

This agent sent models to meet Jeffrey Epstein. Now he’s trying to explain why.

Convicted sex offender Jeffrey Epstein had just been released from jail in 2009 when a friend suggested a possible “coming out gift”: a 5-foot-11-inch model with an “amazing” body. “I was blown away ...
IEEE

Learning-Based Kinematic Modeling for Concentric Tube Robot: Addressing its Nonlinearity and Snapping Behavior

Abstract: The Concentric Tube Robot (CTR) has great promise for minimally invasive surgery. However, accurately modeling nonlinear and history-dependent behaviors remains a significant challenge. This ...
GitHub

MARTI: A Framework for LLM-based Multi-Agent Reinforced Training and Inference

If you like our project, please give us a star ⭐ on GitHub for the latest update. MARTI is an open-source framework for training LLM-based Multi-Agent Systems (MAS ...