NEURA Robotics and Qualcomm Technologies collaborate on robotics architectures combining edge AI computing with real-time control for next-generation autonomous robots.

Qualcomm Technologies and Siemens demonstrate an autonomous manufacturing system at MWC Barcelona combining private industrial 5G connectivity with on-premises edge AI.

Qualcomm Technologies has introduced a full-stack robotics architecture and a new industrial processor to support scalable deployment of physical AI systems.

Qualcomm is extending its robotics roadmap with a safety-grade, energy-efficient compute architecture designed to support scalable physical AI across service, industrial, and humanoid robots.

At COMPUTEX 2025, a new collaboration was announced to integrate advanced AI platforms, accelerating intelligent edge solutions across multiple industries.

Qualcomm highlights expanding edge AI across devices, including PCs, automotive, smart homes, and enterprises, with new platforms, collaborations, and AI-powered solutions driving intelligent experiences globally.

This framework will aid enterprises in solving the most daunting business challenges by tailoring platforms that build a blueprint of chipsets, operating systems, software enablers, reference designs and extensive partner networks.

The Snapdragon X80 5G Modem-RF System fuses artificial intelligence with unparalleled spectrum flexibility, power efficiency, and performance.

The Snapdragon XR2+ Gen 2 supports 4.3K per eye resolution and 12 or more concurrent cameras to deliver crisp, immersive mixed reality (MR) and virtual reality (VR) experiences.

In many industrial settings, determining the current health of assets still involves a technician putting their ear to a machine to detect any ominous sound deviations. What they hear may indicate something has gone wrong, or worse, they hear silence, conveying that the equipment has completely failed. This is considered a reactive maintenance model.