I come from the relational world like probably everyone who's been doing software for the last 5 years or so. In 2012 NoSQL databases were already a thing, and I had an opportunity to work with Google's Datastore, so I googled the documentation and started from the beginning.
Last month Scaledrone migrated all websocket servers from Node.js to Go. We are a push messaging company so using the best possible websocket solution is vital to us. We started playing around with Go because the memory required per customer was very high. In the end we got more than we asked for as Go servers use a third of the memory that our Node.js servers did. In addition to the memory usage lowering, both response and connections times were reduced significantly.
Researchers recently demonstrated how an informatics-based adaptive design strategy, tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties, according to a recent paper publishe
At Google, we spend a lot of time thinking about how computer systems can read and understand human language in order to process it in intelligent ways. Today, we are excited to share the fruits of our research with the broader community by releasing SyntaxNet, an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you and that you can use to analyze English text.
Public vulnerability databases contain a small fraction of the vulnerabilities that exist in the world’s open-source libraries. Relying solely on public databases exposes you to real risks. To build the most comprehensive vulnerability data possible, we supplement public databases with data we extract from the millions of libraries that we sync, track and analyze. Using some nifty data science, we have built the world’s most comprehensive registry of open-source security information.
This post can also be found on Nvidia's site. At MapD our goal is to build the world’s fastest big data analytics and visualization platform that enables lag-free interactive exploration of multi-billion row datasets. MapD supports standard SQL queries as well as a visualization API that maps OpenGL primitives
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
gpucc: an open-source GPGPU compiler | Jingyue Wu, Artem Belevich, Eli Bendersky, Mark Heffernan, Chris Leary, Jacques Pienaar, Bjarke Roune, Rob Springer, Xuetian Weng, Robert Hundt | Code generation, Compilers, Computer science, CUDA, LLVM, nVidia, Presentation, Tesla K40
In this blog, I summarize the three major thrusts and themes—easier, faster, and smarter—that comprise Spark 2.0 and announce the availability of a technical preview of Apache Spark 2.0 in Databricks Community Edition.
Applying convolutional neural networks to the problem of automatic number plate recognition. Synthesized number plate images are used to train a TensorFlow network which is then used to detect number plates in real-world images.
GPUs (Graphic Processing Units) have become much more popular in recent years for computationally intensive calculations. Despite these gains, the use of this hardware has been very limited in the R programming language. Although possible, the prospect of programming in either OpenCL or CUDA is difficult for many programmers unaccustomed to working with such a low-level interface. Creating bindings for R’s high-level programming that abstracts away the complex GPU code would make using GPUs far more accessible to R users.
Although NoSQL database (DB) technology has been around since the 1960s, not until the advent of Web 2.0, when companies such as Google and Amazon began using the technology, did NoSQL’s popularity really take off. The following Google Trends data visualization clearly shows a surge in NoSQL’s popularity beginning around 2010. Indeed, the technology’s longevity and its usefulness within the big data ecosystem make any time a good time to begin your journey with NoSQL. Keep reading for a brief overview of NoSQL that will introduce you to the core features that continue to make this useful technology so popular.
Rancher Labs have released version 1.0 of their open source Rancher container management platform, which allows the deployment of Docker containers via Docker Swarm, Kubernetes or Rancher Labs’ Cattle. Rancher manages the underlying compute fabric, and can be deployed across a combination of multiple public cloud vendors, private virtualised clouds and bare metal.
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