Codetown
Codetown ::: a software developer's community
Paul Stearns's Discussions
Another question on refactoring my NetBeans generated GUI code
Hello all:It has been a few months since my last question. Had a lot of other projects taking up my time, but I am back to fighting with my Planetarium lighting controller. I have it working, but I…Continue
Started Jun 20, 2012
Creating separate class files in a large project
9 Replies
Hello all:I have been working on a GUI interface for controlling lights in a planetarium. I had some trouble getting the communication to happen, and received some help from this forum to get past…Continue
Started this discussion. Last reply by Jackie Gleason Feb 10, 2012.
Sending strings between two computers via ethernet
13 Replies
A while ago I asked a question about using RS-232 communication with Java. It seems as though I need to abandon that route because it no longer fits the desired system requirements. Thanks to Nem…Continue
Started this discussion. Last reply by Paul Stearns Oct 5, 2011.
Using rs-232 in a java desktop application
4 Replies
Hello all: I am fairly new to the Java world and would like some advice on how to handle rs-232 communications with a Java based GUI I am working on. Several years ago I created a similar GUI with…Continue
Tags: communication, rs-232, using, application, Java
Started this discussion. Last reply by Nemanja Nesic - NEM- Jun 9, 2011.
Gifts Received
Paul Stearns has not received any gifts yet
Paul Stearns's Page
Profile Information
- How did you hear about Codetown?
- Janet Gatsby
- What are your main interests in software development?
- Want to better understand what Java can do.
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
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
© 2026 Created by Michael Levin.
Powered by
Comment Wall (1 comment)
You need to be a member of Codetown to add comments!
Join Codetown