Items tagged mobile in 2019
Filters: Year: 2019 × mobile × Sorted by date
Machine Learning on Mobile and at the Edge: 2019 industry year-in-review (via) This is a fantastic detailed overview of advances made in the field of machine learning on the edge (primarily on mobile devices) over 2019. I’m really excited about this trend: I love the improved privacy implications of running models on my phone without uploading data to a server, and it’s great to see techniques like Federated Learning (from Google Labs) which enable devices to privately train models in a distributed way without having to upload their training data. # 30th December 2019, 10:17 pm
Announcing Envoy Mobile. This is a fascinating development: Lyft’s Envoy proxy / service mesh has been widely adopted across the industry as a server-side component for adding smart routing and observability to the network calls made between services in microservice architectures. “The reality is that three 9s at the server-side edge is meaningless if the user of a mobile application is only able to complete the desired product flows a fraction of the time”—so Lyft are building a C++ embedded library companion to Envoy which is designed to be shipped as part of iOS and Android client applications. “Envoy Mobile in conjunction with Envoy in the data center will provide the ability to reason about the entire distributed system network, not just the server-side portion.” Their decision to release an early working prototype and then conduct ongoing development entirely in the open is interesting too. # 18th June 2019, 6:42 pm
When should you be using Web Workers? 85% of worldwide mobile devices are massively less performant than high end iPhones. Surma argues that we should be making aggressive use of Web Workers to keep as much of our JavaScript as possible off the main UI thread, to avoid freezing up the entire interface. # 15th June 2019, 4:31 am