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106 Fabric Belt Labeler
The labeling machine APS 106 Fabric Belt Labeler is a revolutionary automatic pressure sensitive labeler designed for efficient label application onto containers.
The post appeared first on Accutek Packaging Machine Equipment.
Auto-Indexing Mini-Pinch
The Indexing Mini Pinch is a timed flow filling machine best suited for liquid filling solutions, thin and light oils. The Automatic Indexing Mini Pinch is a six-head, timed flow volumetric filler that has a fill rate of up to six ounces per second.
The post appeared first on Accutek Packaging Machine Equipment.
ROPP Capper
AccuCapper ROPP Capper is a Roll Over Pilfer Proof capper designed to thread and seal aluminum caps onto rigid containers.
The post appeared first on Accutek Packaging Machine Equipment.
Auto Pinch 50
The Auto-Pinch 50 is an automatic timed flow volumetric filling machine capable of filling water thin liquids to light oils and creams at speeds of up to 100 containers per minute.
The post appeared first on Accutek Packaging Machine Equipment.
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Profile Information
- How did you hear about Codetown?
- Social Media
- What are your main interests in software development?
- Software Architecture
- Do you have a website?
- http://trusted-medications.com
- Anything else you'd like to add? Where do you live? (optional!)
- I am Johanna Vasquez, and I am a dedicated and results-driven accountant with a passion for numbers and financial analysis. With 25 years of experience in the field, I have honed my skills in financial management, auditing, and reporting. I hold a Bachelor's Degree in Accounting from University of Tampa, where I developed a solid foundation in financial principles and practices.
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
European Initiative for Data Sovereignty Released a Trust Framework
The Danube release of the Gaia-X trust framework provides mechanisms for the automation of compliance and supports interoperability across sectors and geographies to ensure trusted data transactions and service interactions. The Gaia-X Summit 2025 hosted facilitated discussions on AI and data sovereignty, and presented data space solutions that support innovation across Europe and beyond.
By Ben LindersAWS Launches European Sovereign Cloud Amid Questions About U.S. Legal Jurisdiction
AWS has launched its European Sovereign Cloud with a €7.8 billion investment, designed to meet EU regulatory demands and address data privacy concerns amid geopolitical tensions. Despite its operational separation from global regions, questions linger about legal protections against U.S. data access. Competitors like Microsoft and local providers may present stronger sovereignty options.
By Steef-Jan WiggersPresentation: 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 Simone
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