Edge-Native App Design When You Can’t See Behind the Curtain

IMAGE CREDIT: Pavan Trikutam -- Unsplashed In the mid-1980s, Bell Labs conducted a human-factors study to understand how telephone users conceptualized the telephone network. Within the switching engineering division, we thought of the network as a complex collection of switching, transmission and operation systems interconnected by a web of copper

Carnegie Mellon Built a Plug-and-Play Private LTE Network

When Mahadev Satyanarayanan, group professor of computer science at Carnegie Mellon University and an expert in edge computing, needed a network to test his edge computing applications, he knew he wanted something that was low in latency, reliable and not susceptible to any performance degradation. Satyanarayanan turned to Amazon Web

Three Decades Of Vision For Edge

In this interview, Satya shares how he started thinking about distributed computing infrastructure for mobile devices back in 1993, how much of his vision has come true in the decades since, and his views on the future of cloud, edge, iot, and much more. https://overtheedgepodcast.com/podcasts/three-decades-of-vision-for-edge-with-mahadev-satya-satyanarayanan-of-carnegie-mellon-university/

Putting It All Together With Cognitive Assistance

By Jim Blakley, Living Edge Lab Associate Director, Carnegie Mellon University Source: Google AI BlogIn 2014, when my team at the time began working with modern artificial intelligence technologies, industry innovation focus was on neural network architecture. Every day, it seemed a new, more complex neural network was introduced (e.

When the Trainer Can’t Be There

By Jim Blakley, Associate Director Carnegie Mellon University Living Edge Lab As the Covid-19 pandemic continues across the globe, the need for people to work separately from each other grows. And, the activities that they need to accommodate are not just endless Zoom meetings and online classes. In person, hands-on

Gabriel Platform v2

We have released Gabriel version 2.0. Clients can now send frames from multiple sources. Support for multiple cognitive engines, running on the same server or elsewhere.

Edge Idea Challenge

Seamster.io, new community leveraging the adoption of edge computing applications has launched a contest for the best ideas on the use cases of mobile edge computing. You can submit your concept here https://seamster.io/idea-challenge. Good luck!