Through edge computing and machine learning, we can actually significantly reduce the amount of time—and hence, power—data centers need to use to process data. Let’s explore why this is so ...

Edge Computing and Serverless are set to redefine the DevOps processes to deal with Machine Learning models. While the heavy lifting for ML will be done in the cloud, the edge layer will simplify ...

Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Claudio Ambra, CTO at Exor International explains how industrial edge technology is reshaping control system architectures.

“Devices in this deployment model are designed to handle more complex tasks such as data processing, analytics and machine learning, ... we’re referring to the deployment of edge computing at ...

Building on TruScale’s Infrastructure-as-a-Service, Lenovo’s new TruScale for Edge and AI services allows businesses to leverage a pay-as-you-go model and rapidly deploy edge computing ...

Collaborative artificial intelligence startup FedML Inc. said today it has closed on a $6 million seed funding round that will help it bring together companies and developers to train, deploy and cust ...

Sima AI's machine learning system-on-chip (MLSoC) platform that enables ML deployment and scaling at the edge has started shipping. Skip to main content Events Video Special Issues Jobs ...