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AFRICA ANDROID CHALLENGE
Information
The Africa Android Challenge is on! The object is to learn and share your software development expertise...and to compete with your best Android application. Please join us and participate.
Location: Africa
Members: 3
Latest Activity: Mar 19, 2012
About the AFRICA ANDROID CHALLENGE
The Africa Android Challenge is all about the software development lifecycle. We'll go from concept to launch on each of the projects. The idea is to come up with a concept and develop it to completion.
We will share everything we learn. It's a great opportunity to learn about Android development and software development in general. You'll also build community by participating.
This group has discussions in the Discussion Forum, an RSS feed (the "Reading List"), a place to post comments and you'll see individual pages here, too.
Recognize Max Bonbhel, AfricaJUG and CongoJUG founder and coordinator in the photo above? That photo was taken at Google's Android headquarters during the JavaOne 2011 timeframe.
Thanks to Google for providing Android phones and assistance with this contest.
Discussion Forum
AFRICA ANDROID CHALLENGE - SUBMISSIONS ARE IN!
Check out these cool submissions to the Africa Android Challenge:…Continue
Tags: moroccojug, senejug, jug-africa, codetown, android
Started by Michael Levin Mar 19, 2012.
site 2 Replies
Hello I said what is the site for the challenge of africa androidContinue
Started by Ngadjeu. Last reply by Michael Levin Dec 21, 2011.
The Africa Android Challenge - First meeting 1 Reply
Here are some notes from the first meeting about The Africa Android Challenge. That's SeneJUG co-founder and coordinator Lamine…Continue
Tags: max bonbhel, codetown, contest, lamine ba, africa
Started by Michael Levin. Last reply by Max Bonbhel Dec 8, 2011.
Africa Android Challenge Reading List
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Comment Wall
Comment
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
Presentation: How to Unlock Insights and Enable Discovery Within Petabytes of Autonomous Driving Data
Kyra Mozley discusses the evolution of autonomous vehicle perception, moving beyond expensive manual labeling to an embedding-first architecture. She explains how to leverage foundation models like CLIP and SAM for auto-labeling, RAG-inspired search, and few-shot adapters. This talk provides engineering leaders a blueprint for building modular, scalable vision systems that thrive on edge cases.
By Kyra MozleyArticle Series - AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness
In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are discovering that the challenge extends beyond model performance to include architecture, process, and accountability. This transition is redefining what constitutes good software engineering.
By Arthur CasalsHow CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation
To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
By Sergio De SimoneAnthropic announces Claude CoWork
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
By Andrew HoblitzellTracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
By Leela Kumili
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