Codetown ::: a software developer's community
Last nights OJUG meeting was great. Beth and Tracy did an amazing job of setting things up in the room and the presentation was wonderfully entertaining and insightful. It was spectacular and informative, what more could you ask for? Anyone who was unable to come certainly missed out, but maybe next year we'll have them give this presentation again. You never know.
Tracy provided us with a wealth of knowledge in terms of how to be recruited. His presentation on Working WIth Recruiters…
ContinueAdded by Anjuli Vivian Atwal on June 24, 2011 at 1:49pm — No Comments
I know what you're thinking, "So what if Apple gets another patent?" or "What's left that they don't already have?". Apparently what Apple doesn't have is a multitouch patent that can distinguish between how many fingers are touching an item on the screen and how that item can be manipulated/maneuvered in a frame or the whole screen. Confused? Probably, if…
ContinueAdded by Anjuli Vivian Atwal on June 23, 2011 at 9:58am — No Comments
Added by Michael Levin on June 20, 2011 at 11:00am — No Comments
Hi folks,
I've mentioned MySchedule before during the Quartz presentation at OJUG. I have released myschedule-1.1.2.war now. It's not that pretty, but it's fully functional. It deploy a fully working version of a In-Memory Quartz scheduler with web UI that can easily manage it.
If you are interested in Quartz, give it a try here http://code.google.com/p/myschedule. I wrote a mini UserGuide with here…
ContinueAdded by Zemian Deng on June 13, 2011 at 8:18am — No Comments
Cornbread and contracting. They have a lot in common. What do I mean?
Well, you never go in empty handed. That's for starters. How did this come up? I'm headed to my favorite bike and coffee shop this morning to do some fancy computin'. I'll be sure to bring something with me to the show. Whats my fav?…
ContinueAdded by Michael Levin on June 7, 2011 at 10:00am — No Comments
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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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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 Mozley
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 Casals
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 Simone
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 Hoblitzell
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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