Taken together, these signals operationalize a data-centric oversight model. They also raise a practical question for CMC and quality leaders: if evidence is increasingly remote-ready and ...

Anthropic Claude Co-work Dispatch runs approved desktop tasks from mobile messages, focused on local execution and data ...

StudioComm Model 794 Central Controller and Model 795 Control Console are designed to support Dante-based 5.1 and stereo monitoring applications ...

When evaluated and implemented thoughtfully, agentic AI can augment human expertise, accelerate workflows and deliver ...

A Chinese laboratory has reportedly demonstrated the control of a humanoid robot via space-based computing.

SAN JOSÉ, Calif., March 19, 2026 /PRNewswire/ -- Universal Robots (UR) this week unveiled the UR AI Trainer at GTC ...

At a recent closed door Hubbis forum in Dubai, Bryan Henning argued that family offices and private equity firms in the UAE are facing a structural turning point: the operating model is now a key ...

Centralized agentic governance ultimately comes down to four disciplines: discovery, control, testing and protection.

As AI systems grow more autonomous, observability becomes essential. Learn how visibility into AI behavior helps detect risk and strengthen secure development.

A recent Futurum Group report reinforces this dynamic, noting that modern AI pipelines often rely on multiple CPUs per accelerator to coordinate data movement and execution across clusters. In that ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

Power systems are undergoing a rapid transition toward operation with high penetration of renewable energy and power electronic interfaced devices—often ...