While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.

As autonomous AI agents and multi-agent systems transition from experimental pilots into real production environments, software engineers are increasingly being asked to design, integrate, and ...

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 ...

AI-powered chatbots. Robotic manufacturing equipment. Self-driving cars. Bandwidth-intensive applications like these are flourishing—and driving the move from monolithic system-on-chips (SoCs) to ...

Lyzr says it has gained traction among large consulting firms and enterprise customers in regulated industries. Surendira cited deployments at Accenture Plc and KPMG LLP, including a system built by ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...