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 ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

Michael Wegmüller has more than 20 years of experience in AI. He is cofounder of Artifact SA and a widely recognized AI business expert. Multi-agent AI systems (MAS) represent the next step in ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Imagine a world where your daily tasks—drafting emails, scheduling meetings, analyzing data—are handled effortlessly by intelligent systems that adapt to your needs. In 2025, this vision is no longer ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

Today’s launch is the Corti Agentic Framework, a foundation for building AI agents that can handle the work in healthcare and ...

We must integrate AI into the fabric of the organization to fully reap its rewards ...

Claude Code Agent Teams runs separate Claude instances that talk and share task lists, helping parallel research even with ...

Revolutionary Platform Deploys Autonomous AI Agents to Accelerate Breakthroughs in Cancer, Alzheimer's, and Rare ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...