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.
Recent articles
- A new SQL-powered permissions system in Datasette 1.0a20 - 4th November 2025
- New prompt injection papers: Agents Rule of Two and The Attacker Moves Second - 2nd November 2025
- Hacking the WiFi-enabled color screen GitHub Universe conference badge - 28th October 2025