figcaption { background-color: white; color: gray; font-style: italic; font-size: smaller; padding: 2px; text-align: center; } -- UnsplashedIMAGE 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
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
Intelligent Video Analytics and Effective Remote Learning on Campus Private 4G/5G Networks | Amazon Web ServicesEdge computing is a new paradigm in which the resources of a small data center are placed at the edge of the internet, in close proximity to mobile devices, sensors, and end users. Learn about
The emergence of edge computing introduces new complexity in the creation of distributed mobile applications. Application designers can now deploy application functionality in three or more tiers of compute infrastructure to optimize bandwidth, latency, cost, user experience and privacy for their users and their own operations. However, the diversity of
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/
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.
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
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
Jim Blakley