Facebook has open sourced a number of modules for faster training of neural networks on Torch.
Pivotal Software today announced that it will be withdrawing funding for the popular Groovy and Grails frameworks after March 31, 2015. Pivotal cited their larger strategy to concentrate resources on accelerating both commercial and open source projects that support its growing traction in Platform-as-a-Service, Data, and Agile development.
At a recent Seattle Xcoders Meetup, Curt Clifton, software engineer at The Omni Group, described what developing for the Apple Watch is like. He discussed a watch app conceptual model, data communication between the phone and the watch, and a few challenges.
Google has recently made public its plan to bootstrap Go 1.5. According to Russ Cox, Go core developer for almost 6 years now and author of the document, Google has been planning for a year “how to eliminate all C programs from the Go source tree.” InfoQ has spoken to Russ to learn more about the plan to bootstrap Go.
A number of Google researchers and engineers presented their view on the technical debt of using machine learning at a NIPS workshop. They identified different aspects of technical debt and came to the conclusion that without proper care, using machine learning or complex data analysis in your company can induce new kinds of technical debt different from classical software engineering.
CocoaPods 0.36-beta has recently been released, providing support for iOS 8 frameworks and libraries written in the Swift language, writes Marius Rackwitz (@mrackwitz), member of CocoaPods core team. This release allows pod maintainers to ensure compatibility of existing pods, while also enabling the creation of new pods for Swift libraries.
Successive changes to architecture and technology throughout the lifetime of an application can lead to a fragile and fragmented codebase that is hard to understand and maintain, an anti-pattern named Lava Flow or Lava Layer that Mike Hadlow often finds in enterprise software, especially in large, mission critical and long-lived software.
Glenn Vanderburg, director of engineering at LivingSocial, gave an interesting recount of his effort to implement TeX’s algorithms in Clojure at the last ClojureConj conference. In the process, he discovered how much programming has changed in the last thirty years.
The 15 track topics have been finalized for the 4th annual QCon New York (Jun 8-12) including: Modern CS, Mobile, Fraud Detection, Streaming Data, Microservices, Modern Advances in Java Technology, Machine Learning, Architectures You've Always Wondered about and more. Register before Jan 17th and save $700.
Apache Spark 1.2.0 was released with Netty-based implementation, High Availability and Machine Learning APIs. It represents the work of 172 contributors from over 60 institutions and comprises more than 1000 patches. InfoQ talks with Patrick Wendell, a Spark committer and PMC member.
John Wilkes, Principal Software Engineer at Google and Roy Rapoport, Manager of Insight Engineering at Netflix have been confirmed to keynote at the 9th annual QCon London (Mar 2-6, 2015). All four keynotes, 65/100 speakers, and 13 tutorials are now confirmed, including 19 conference tracks. Register before Jan 26 and save £290.
Working with a microservices architecture creating small services with a need for light-weight mechanisms, independent deployment, scalability and portability, a container technology like Docker can provide an ideal environment for deployment of these services with respect to speed, isolation management, and lifecycle.
Network performance, virtualization and testing are some of the considerations to address performance and scalability issues with NoSQL databases. Alex Bordei wrote about scaling NoSQL databases and tips for increasing performance when using these data stores.
Shippable recently announced its new platform in the virtualization space, which now supports containerized workflows
You can tell a lot about the future of a UI toolkit by how the third party control vendors are treating it. Since their revenue is based around correctly predicting what developers are going to be using in the near future, they spend a lot of time and effort researching the topic. In this report, we’ll be looking at DevExpress and their treatment of WinForms and Silverlight.