Edge Native Computing

Past Presentations

Linux Foundation's Project EVE: A Cloud-Native Edge Computing Platform

Connecting IoT devices to the Internet is nothing new. Deploying and running real-time cloud-native applications at hyperscale on the mesh fabric of these devices is. Edge Computing evolves Cloud Computing by keeping what's great about the Cloud model (developer friendly APIs and...

Roman Shaposhnik Co-founder, VP Product and Strategy @ZededaEdge & Member Board Of Directors for LF Edge @linuxfoundation
Machine Learning on Mobile and Edge Devices With TensorFlow Lite

Machine learning enables some incredible applications, from human-centric user interfaces to generative art. But the traditional machine learning architecture is server-based, with data being sent from users' devices to the cloud, and users are rightly concerned about privacy, safety, and...

Daniel Situnayake Developer Advocate for TensorFlow Lite @Google and Co-Author of TinyML
Self-Driving Cars as Edge Computing Devices

Every Uber self-driving car runs advanced software, often for hours on end, which requires a powerful compute stack. In this talk, we’ll explain the architecture of Uber ATG’s self-driving cars and have a look at how the software is developed, tested, and deployed.

Matt Ranney Sr. Staff Engineer @UberATG
Pick Your Region: Earth; Cloudflare Workers

In September of 2008, Google’s Chromium Project released V8, a JavaScript engine, as part of a browser optimization wave that heralded the era of JavaScript browser applications that we both love, and love to hate. Less than a year later, in 2009, Ryan Dahl announced a way to run the V8...

Ashley Williams Core Rust Team @RustLang

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