For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...

Espressif has just introduced the ESP Private Agents platform design to help developers build local, private, and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

Reactivating the human element of procurement means giving teams time to focus on strategic value. This is where agentic AI ...

Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

AI only creates lasting value when it is woven into the flow of work. Retail and CPG companies must redesign processes so AI ...