Codetown ::: a software developer's community
Time: September 7, 2017 to September 8, 2017
Location: Dublin and Thessaloniki
City/Town: Dublin and Thessaloniki
Website or Map: https://re-publica.com/
Event Type: conference
Organized By: https://re-publica.com
Latest Activity: Aug 2, 2017
re:publica is one of the largest and most exciting conferences about digital culture in the world. Since its foundation in 2007, it has grown from a cozy blogger meeting with 700 participants into a wide-ranging “society conference”, with 9.000 visitors at the eleventh edition of re:publica. Representatives of digital culture share their knowledge and decision-making tools, and discuss the future of the information society. Here they can mingle with activists, scientists, hackers, entrepreneurs, NGOs, journalists, social media and marketing experts, and many others. This fosters innovation and creates synergies between net politics, online marketing, network technology, digital society, and (pop) culture. What is more, around 46 percent of re:publica speakers are female – far more than at many other similar events.
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.
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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.
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