Codetown
Codetown ::: a software developer's community
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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: Ultra-fast In-Memory Database Applications with Java
Markus Kett shares a compelling alternative to traditional database systems for Java-based applications. Discover how EclipseStore, an in-memory micro-persistence engine, unlocks extreme performance gains (up to 1000x faster) and drastically reduces cloud database expenses (over 90%).
By Markus KettGoogle Cloud Enhances AI/ML Workflows with Hierarchical Namespace in Cloud Storage
On March 17, 2025, Google Cloud introduced a hierarchical namespace (HNS) feature in Cloud Storage, aiming to optimize AI and machine learning (ML) workloads by improving data organization, performance, and reliability.
By Craig RisiAnthropic Introduces Web Search Functionality for Claude Models
Anthropic has announced the addition of web search capabilities to its Claude models, available via the Anthropic API. This update enables Claude to access current information from the web, allowing developers to create applications and AI agents that provide up-to-date insights.
By Daniel DominguezNeon Serverless Postgres Now Generally Available as an Azure Native Integration
Microsoft and Neon launch Neon Serverless Postgres, now generally available as a native Azure integration, offering developers an innovative, scalable, and cost-effective database solution. With automatic scaling, instant provisioning, and seamless integration, it's designed for enterprises and AI startups alike, enhancing workflows and enabling efficient database management within Azure.
By Steef-Jan WiggersArticle: Large Concept Models: A Paradigm Shift in AI Reasoning
Differently from LLMs, Large Concept Models (LCMs) use structured knowledge to grasp relationships between concepts, enhancing the decision-making process and providing a transparent reasoning audit trail. Using LCMs with LLMs can facilitate building AI systems that can analyze complex scenarios and effectively communicate insights, driving towards developing more reliable and explainable AI.
By Anidhya Bhatnagar
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