Codetown
Codetown ::: a software developer's community
Android Town Discussions (5)
| Discussions | Replies | Latest Activity |
|---|---|---|
Coroutine-First Android Architecture w/ Rick BusarowChicago Kotlin User Group x Android Listeners Hosted at GrubHub, July 17 Coroutines are the new hot stuff, and right now they’re being adde… Started by Amanda Hinchman-Dominguez |
0 | Jul 20, 2019 |
Android Class at Valencia CollegeWe are having an Android App Development class at Valencia starting in August (East campus). It is COP 2660, and has a pre-requisite of C… Started by Colin Archibald |
3 |
Jan 31, 2013 Reply by Jackie Gleason |
Java applets on android tabletsDoes anyone own one of the android java-based tablets? If you do, how does it compare to an iPad, and does it properly run java applets and… Started by Michael Levin |
1 |
Sep 6, 2011 Reply by Colin Archibald |
Insanely Great Social Hooks and Innovation on this iPhone/Android AppEveryTrail impresses as a well thought out app with GPS, multimedia and social integration. Not only is it well coded and solid, but th… Started by Michael Levin |
0 | Dec 13, 2010 |
Gainesville Mobile Programming GroupWould it be an interest in a gainesville Mobile programming group? Idea is to include android, blackberry, iphone, palm, symbian, and anyth… Started by Mauricio Tavares |
0 | Oct 27, 2010 |
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.
By Robert KrzaczyńskiPresentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita BhattacharyaSwift Cross-Platform Framework Skip Now Fully Open Source
After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.
By Sergio De SimoneRailway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure
Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.
By Craig RisiGoogle BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
By Steef-Jan Wiggers
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