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 ...

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 ...

Anthropic’s Claude Code Agent Teams support real-time peer coordination and split-pane monitoring in tmux or iTerm2, ...

Data science and artificial intelligence development platform company Zerve AI Ltd. today announced a new multi-agent system engineered specifically for enterprise-grade data and AI development. The ...

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 ...

"The next phase of AI will be defined by platforms that scale," said Steve Chase, U.S. vice chair of AI and digital innovation. "Workbench is KPMG's single, global AI platform—built on an ...

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...

Inside Claude-Flow: Using Multi-Agent AI to Modernize Legacy Applications Faster Your email has been sent Multi-agent AI orchestration frameworks like Claude-Flow help teams modernize legacy ...

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 ...