This breakthrough could pave the way to powerful IoT devices capable of leveraging AI to a greater extent. This has notable implications for many rapidly developing fields.

The fast growth of the Internet of Things (IoT) has changed how devices communicate, handle data, and provide value across sectors. Choosing between edge computing vs cloud computing is one of the ...

Towards implementing neural networks on edge IoT devices Researchers propose a novel magnetic RAM-based architecture that leverages spintronics to realize smaller, more efficient AI-capable circuits ...

The Internet of Things edge refers to the part of an IoT architecture that is closest to the end devices or sensors that collect data. In simple terms, it is the point where devices and data meet.

Challenges in Embracing an Edge Computing Architecture Organizations that embrace an edge computing architecture still have many challenges to overcome, however. Security is one, as IoT devices on a ...

Although edge computing and IoT are two different technologies, there seems to be a growing convergence between the two.

Edge computing with Internet of Things (IoT) devices, infused with AI algorithms, is the solution needed to address the emergence of high-volume and diverse ranges of data collected from everyday ...

Edge computing, machine learning algorithms and centralized management platforms work in tandem to ensure industrial systems ...

AI has become pervasive across enterprises, and the drive is now on to push this potentially powerful intelligence out to the edge and network, where it can deliver insight and operational performance ...

Edge intelligence is the ability to process and compute data closer to where it’s generated, which is at the edge of a network. Moving computation closer to data sources like IoT devices with sensors ...