Researchers create an algorithm that maximizes IoT sensor inference accuracy using edge computing

We are in a fascinating era where even low-resource devices, such as Internet of Things (IoT) sensors, can use deep learning algorithms to tackle complex problems such as image classification or natural language processing (the branch of artificial intelligence that deals with giving computers the ability to understand spoken and written language in the same way as humans).

TIA White Paper: Resilience at the Edge

When planning an Edge Data Center (EDC) deployment, the need to address availability of planned workloads to ensure resiliency is a top priority. The key characteristics of an EDC can be significantly different than those that top the list for larger enterprise or multi-tenant data centers. To help balance the costs and operational aspects of any EDC strategy, this paper outlines a number of critical questions that should be addressed to ensure resiliency at the edge.

Edge computing isn’t the future – it’s here. 5 ways edge computing is already transforming the cloud native experience today.

Edge computing isn’t the future – it’s here. 5 ways edge computing is already transforming the cloud native experience today including: improving retail and inventory management in retail; manage the lifecycle of embedded devices; Edge is playing a critical role in the evolution of retail; leveraging knowledge of Kubernetes; securing remote locations and devices; and using predictive analytics in manufacturing