The promise of autonomous agentic AI requires significant changes in the governance landscape. Provided byIntel Parents of young children face a lot of fears about developmental milestones, from ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

Abstract: Lifelong learning, also known as continual or incremental learning, is a crucial component for advancing Artificial General Intelligence (AGI) by enabling systems to continuously adapt in ...

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...

Abstract: Recently, researchers have proposed many multi-agent frameworks for function-level code generation, which aim to improve software development productivity by automatically generating ...

CATArena (Code Agent Tournament Arena) is an open-ended environment where LLMs write executable code agents to battle each other and then learn from each other. CATArena is an engineering-level ...

Cybersecurity researchers have disclosed multiple security vulnerabilities in four popular Microsoft Visual Studio Code (VS Code) extensions that, if successfully exploited, could allow threat actors ...

Qwen3.5 comes in an open-weight and hosted API version, with the company advertising improvements in performance and costs from previous versions. Qwen3.5 supports new agentic capabilities and is ...

Claude Code’s experimental Agent Teams feature enables multiple autonomous agents to collaborate on complex programming tasks, as shown by Cole Medin in a live build of a payment integration for a ...

Spawn parallel AI coding agents, each in its own git worktree. Agents autonomously fix CI failures, address review comments, and open PRs — you supervise from one dashboard. Agent Orchestrator manages ...