Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Microsoft has launched a four-part developer series explaining how to build a CLI-style AI agent that can plan tasks, use tools, retain information, and ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Patch the Planet’ pairs automated analysis with expert review to uncover and remediate vulnerabilities in core infrastructure ...

AI coding agent skills library claude-skills ships 345 free, MIT-licensed packages for Claude Code, Codex, Cursor, Gemini CLI ...

A rogue AI agent using compromised developer credentials breached the Fedora software supply chain and merged defective code ...

I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for modern financial institutions.

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.

Abstract: This paper addresses the load restoration problem after power outage events. Our primary proposed methodology is using multi-agent deep reinforcement learning to optimize the load ...

Tests of how well 19 large language models (LLMs) complete and perform complicated multi-step tasks has shown that they are both error-prone and, in many cases, unreliable. They said that the ...

Credit: VentureBeat made with OpenAI ChatGPT Images 2.0 For the past eighteen months, the corporate world has been obsessed with the "builder" phase of the generative AI revolution. Enterprises have ...