The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

Two artificial intelligence (AI) systems that can assist throughout multiple processes involved in scientific research—such ...

We're seeing AI evolve fast. It's no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together.

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Agentic AI systems mark a shift from traditional AI by combining reasoning, autonomous action, memory, and multi agent coordination to execute complex tasks rather than just respond to queries. Built ...

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

For most people, the future of artificial intelligence still looks like a single assistant that can handle anything. I ...