Facebook Artificial Intelligence Research laboratory open-sources the Torchnet project to package and optimize boiler plate deep learning code for reuse and plugin-ability.
Now available in beta, Facebook’s new SDK for Swift aims to make it easier for developers to integrate Facebook services into their iOS apps.
Microsoft and Facebook have announced that the Universal Windows Platform will be the next platform to support React Native. Aiding developers build React Native apps on Windows, Microsoft also released a React Native extension for Visual Studio Code that provides debugging and IntelliSense in their cross-platform code editor.
Facebook has opened up the Messenger Platform to be integrated with chatbots performing various tasks.
In order to fulfill its vision of connecting the Earth, Facebook has designed its Facebook Lite app for Android to make it optimized for use in emerging markets, Facebook engineer Gautam Roy explained.
Funnel analysis is used to analyze a sequence of events to help with user engagement on a website or a mobile application. Data Science team at Twitter uses this concept to learn how users interact with user interfaces during sign up or tweeting for improving user engagement with Twitter.
Facebook recently announced open sourcing hardware design for its custom designed Open Rack compatible hardware. Attributing advances in Machine Learning and Artificial Intelligence to richer data sets and more powerful GPU-based systems, Facebook is unveiling its next generation systems code-named “Big Sur”, after the synonymous location in California.
Facebook engineer Natansh Verma explained how they managed to reduce the launch time of the Facebook app for iOS and shave a few seconds off by streamlining their dependencies and using UDP priming.
Facebook and Twitter have released SDKs for Apple tvOS to provide support for onboarding, user verification, and analytics.
At GoTo 2015, Erik Meijer, computer scientist whose name is linked to functional programming and reactive asynchronous programming, recounted the last couple of years in his life, including his cancer diagnosis and how it changed his way of looking at life, and shared his view on the Hacker’s Way.
Twitter is using replicated logs for high performance data collection and analysis of its systems. DistributedLog is the system developed at Twitter for this purpose. Twitter has developed a distributed key-value database, Manhattan. Manhattan can trade consistency for latency in reads following the eventually consistent data model. We examine Twitter's design and tradeoffs for DistributedLog.
Twitter has open sourced Diffy, an automated testing tool used in production for discovering potential bugs in new code running on Apache Trift and other HTTP-based services.
Facebook has announced the launch of their declarative data framework, Relay. Using GraphQL for structuring data requests, Relay lets developers and designers declare the data they need, letting the framework determine what to retrieve and how to do it.