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February 2013 Blog Posts (3)
Future Internet Architecture Meeting & Webinar
CISE invites you to attend an information meeting and webinar to announce and answer questions concerning its recently released solicitation, Future Internet Architecture-Next Phase (FIA-NP: NSF 13-538) on Monday, February 11, 2013, 1:00 PM to 2:30 PM EDT. You must register at …
ContinueAdded by Michael Levin on February 9, 2013 at 7:53am — No Comments
Responsive Web Design? What's that? - Exploring NODE.JS
It may not adhere to the strict Java format of OJUG but was quite useful in learning more of the growing tools available to the web based developer.
Jackie Gleason answered this and unlocked other mysteries when he explained what NODE.JS was about. Including a demo where he started a .js server, Jackie showed us how to set up an Express Project Layout worked starting with NPM and yielding to his own "Hello World" page. He continued by showing us how document styled db could be…
Added by Mike Bivins on February 1, 2013 at 11:13am — No Comments
Info from my presentation on Node.JS
Hey everyone,
Thanks again for making it out last night sorry I had to run so quick. The slides from the presentation are located here...
And here is the code example we used...
…
ContinueAdded by Jackie Gleason on February 1, 2013 at 9:30am — 5 Comments
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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.
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InfoQ Reading List
Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.
By Robert KrzaczyńskiPresentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita BhattacharyaSwift Cross-Platform Framework Skip Now Fully Open Source
After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.
By Sergio De SimoneRailway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure
Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.
By Craig RisiGoogle BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
By Steef-Jan Wiggers
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