Processing medical IoT data at the edge at scale is a relatively new idea, explains Computerworld contributor Mary K. Pratt in “The cutting edge of healthcare: How edge computing will transform ...

The edge computing market is projected to grow by a compound annual growth rate of 19.9% between now and 2025. Companies are aggressively deploying Internet of Things (IoT) devices at the edges of ...

Leading companies integrate four essential architectural pillars: microservices, edge computing, content delivery networks ...

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 and cloud computing will probably work more in concert in IoT’s future. Low-latency communication will enable even more fluid integration of edge and cloud capabilities as 5G networks spread.

More information: Yuya Fujiwara et al, TGBNN: Training Algorithm of Binarized Neural Network With Ternary Gradients for MRAM-Based Computing-in-Memory Architecture, IEEE Access (2024). DOI: 10. ...

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 ...

As part of CRN’s Edge Computing 100, here are 25 providers that are specializing in 5G, IoT and edge services. 5G is officially mainstream and gaining traction as wireless carriers continue to ...

As technology evolves, so does Linux’s role in edge computing and IoT: Edge AI: The integration of AI at the edge is a growing trend, and Linux is poised to play a significant role due to its ...

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 ...