The potential of AI to transform businesses is undeniable. But modern companies now face a new challenge: how to take advantage of this complex concept. This is where the edge can be a catalyst for AI ...

Aethir, a decentralized graphics processing unit (GPU) infrastructure firm, announced the May 23 retail release of Aethir Edge, an edge computing device powered by Qualcomm. Aethir Edge is integrated ...

Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, ...

Startup Code Metal Inc. launched today with a software platform designed to help developers optimize their code for edge computing devices. The Boston-based startup has raised $16.5 million over two ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

Spokeo reports on smart home facial recognition technology, enhancing convenience but raising privacy concerns; adoption ...

Escalating trade tensions, especially with China, and their impact on global supply chains, along with global macroeconomic turbulence and associated inflation, remain headwinds for the Zacks Computer ...

The edge just may be where the action is, but the edge is double-edged: It could be a distributed corporate network, or it could be an application running within a small device. In an IDC survey, at ...

Linux is a great operating system for devices. It’s cheap, customizable, and secure. But it has its challenges. For manufacturing companies and other firms deploying thousands of devices, management ...

Picture this scenario: At 2:37 a.m. during a storm, lightning strikes a distribution feeder line in rural Wisconsin. A massive power surge races through the distribution network. Instead of triggering ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...