The ability to perform data science at the edge is growing increasingly important for organizations across the public sector. From smart traffic cameras to hospitals using data processing for faster ...

The use of embedded and edge processing will improve the information delivery of unmanned aircraft systems (UAS) and allow them to harness the power of artificial intelligence (AI), according to a ...

Edge computing is evolving from a relatively obscure concept into an increasingly complex component of a distributed computing architecture, in which processing is being shifted toward end devices and ...

The move to process artificial intelligence (AI) workloads locally is beginning to reshape how security systems are designed and deployed. For video surveillance and analytics, in particular, ...

Every day, more information is being collected and sent to faster servers in mega data centers, which analyze and make sense of it. That analysis has helped improved image and speech recognition and ...

BOULDER, Colo.--(BUSINESS WIRE)--Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning ...

The benefits of edge AI are clear: running AI processing on a device itself, instead of in a remote server, offers big benefits to privacy and speed when it comes to handling these requests. Like ...

As you prepare for an evening of relaxation at home, you might ask your smartphone to play your favorite song or tell your home assistant to dim the lights. These tasks feel simple because they’re ...