“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel Somani. “This can reduce wait times for users watching live events, playing ...

Modern defence capability no longer begins with submarines or fighters. It begins with infrastructure. Data centres, subsea ...

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...

However, databases alone and cloud-based services, like serverless functions, that access them were not designed to handle ...

Anyscale Inc., creator of the open-source distributed computing platform Ray, today announced a new partnership with ...

Along with enabling KubeRay, take your existing Ray-based PyTorch code and use it to build a Docker container that can be ...

Red Hat said OpenShift 4.20 has new capabilities to simplify the deployment and management of large AI workloads. For example ...

As AI, blockchain, and adaptive infrastructure converge, MCP servers are emerging as the digital backbone, delivering the low-latency, high-throughput, context-aware computing that next-gen systems ...

Traditional medical imaging follows a linear workflow: capture → transmit → store → analyze → report. This often involves large imaging files (e.g., DICOM for CT or MRI scans), reliance on PACS ...

What is the Market Size of AI Training Card? The global market for AI Training Card was valued at USD 23865 Million in the ...

AI-Enabled Onboard Edge Computing For Satellite Intelligence In Disaster Management Traditional Earth observation missions ...

Infineon’s OktoberTech event offered a look at its evolving AI strategy, spanning robotics, edge devices, megawatt-scale data ...