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!

Blog: Seeing Further Down the Visual Cloud Road

Written by Jim Blakley | December 4, 2019 (Note: This Blog is a republication of my final blog while at Intel.) Almost three years ago, Carnegie Mellon University Prof. Dave Andersen and I announced the Intel Science and Technology Center for Visual Cloud Systems (ISTC-VCS) at the 2016 NAB Show. Along

Shared Edge Experience

How can two customers, attached to two different networks, share the same edge application and experience? How can two cars, using two different carriers, communicate in low latency?