PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

The Automotive Edge Computing Consortium (AECC) today announced that Mitsubishi Heavy Industries, Ltd. (MHI), a leading ...

Overview: Edge AI processes data locally, cutting latency, boosting security, and enabling real-time decisions without ...

For businesses looking to implement an effective IoT strategy, there is more to think about than devices and sensors generating data at the edge. IT organizations must provide the infrastructure ...

Overview:  Like two friends catching up after a long winter gap, data can’t afford such a delay. Edge Computing ensures that ...

As a subset of distributed computing, edge computing isn’t new, but it exposes an opportunity to distribute latency-sensitive application resources more optimally. Every single tech development these ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A common pattern in analytic ecosystems today sees data produced in ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...