April 2015 Blog Posts (2)

JavaOne

Folks,



Perhaps this is old news for you, but JavaOne San Francisco registration is live. Various saving options are available leading up to the conference, and to take advantage of the current US$600 in savings registration needs to be completed by May 31st, 2015 (11:59pm PT).



I encourage you to read through the registration options by visiting the JavaOne registration site:…

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Added by Michael Levin on April 24, 2015 at 11:00am — No Comments

An Inside Look at the Components of a Recommendation Engine

Recommendation engines help narrow your choices to those that best meet your particular needs.  In this post, we’re going to take a closer look at how all the different components of a recommendation engine work together. We’re going to use collaborative filtering on movie ratings data to recommend movies. The key components are a collaborative filtering algorithm in Apache Mahout to build and train a machine learning model,…

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Added by Carol McDonald on April 13, 2015 at 9:14am — 1 Comment

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Notes

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InfoQ Reading List

Presentation: Celebrity Vulnerabilities: Effective Response to Critical Production Threats

Alyssa Miller dives into the lessons learned from three major open source security events, the Equifax breach via Struts, the Log4j vulnerabilities and the Spring4Shell exploit.

By Alyssa Miller

Microsoft Introduces Public Preview of Socket.IO Support on Azure Web PubSub

Microsoft recently added support for Socket.IO on Azure in public preview, allowing developers to leverage a fully-managed cloud solution through Web PubSub for Socket.IO.

By Steef-Jan Wiggers

Gatling Supports Java DSL for Java and Kotlin Based Performance Tests

The load testing tool Gatling is designed for ease of use, maintainability and performance. Originally a Scala DSL was provided to write the test scenarios. Some time ago, a Java DSL was released, which makes it possible to write test scenarios in Java or Kotlin.

By Johan Janssen

Presentation: Did the Chaos Test Pass?

Christina Yakomin discusses how to run Chaos experiments with Vanguard technologies.

By Christina Yakomin

Multi-Modal LLM NExT-GPT Handles Text, Images, Videos, and Audio

The NExT Research Center at the National University of Singapore (NUS) recently open-sourced NExT-GPT, an "any-to-any" multi-modal large language model (LLM) that can handle text, images, videos, and audio as input or output. NExT-GPT is based on existing pre-trained models and only required updating 1% of its total parameters during training.

By Anthony Alford

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