Abstract: We address the collaborative path planning problem for multi-agent systems with heterogeneous capabilities, subject to uncertainty and operating under complex task specifications.

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...

Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — ...

The rise of algorithmic decision-making in the financial sector has also intensified scrutiny from regulators and investors concerned about opacity and systemic risk. As markets grow more volatile and ...

An intelligent, multi-agent content creation system and comprehensive workshop powered by Google's Gemini models. This project demonstrates how to build AI agents with custom tools using Google's ...

What if artificial intelligence could collaborate like a team of expert developers, each specializing in different aspects of a project? Below, Cole Medin breaks down how Claude Code’s new “Agent ...

The semiconductor industry has been applying AI to accelerate chip design for over three years, achieving 10X productivity gains and focusing primarily on tasks that now seem relatively easy, such as ...

Most IT leaders (82%) believe that data integration is a big AI challenge. Agentic AI pioneers use 10% more software applications. IT leaders will spend 19% of their IT budgets on AI agents this year.

As self-service becomes the first stop in contact centers, AI agents now define the frontline customer experience. Modern customer interactions span voice, text, and visual channels, where meaning is ...

Since last spring, OpenAI has offered Codex. What started life as the company's response to Claude Code is becoming something more sophisticated with the release of a new dedicated macOS app. At its ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of sustained effort. Recent advances in large language models (LLMs) have ...

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