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Enterprise-ready Tool Support for Apache Camel | Javalobby

Enterprise-ready Tool Support for Apache Camel | Javalobby | EEDSP | Scoop.it
Apache Camel is my favorite integration framework on the Java
platform due to great DSLs, a huge community, and so many different
components. Camel is used...
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EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
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Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research

Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research | EEDSP | Scoop.it
Google announce the release of YouTube-8M, a dataset of 8 million YouTube video URLs (representing over 500,000 hours of video), along with video-level labels from a diverse set of 4800 Knowledge Graph entities. This represents a significant increase in scale and diversity compared to existing video datasets.
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The Intersection of Large-Scale Graph Analytics and Deep Learning

The Intersection of Large-Scale Graph Analytics and Deep Learning | EEDSP | Scoop.it
FUNL applies GPU-Accelerated deep learning to large-scale graph problems in order to predict labels or find clusters much faster than possible with CPU-only
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The Good, Bad, & Ugly of TensorFlow

A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff) from Dan Kuster, one of indico's deep learning researchers.
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Smaller and faster data compression with Zstandard

Smaller and faster data compression with Zstandard | EEDSP | Scoop.it
With a performance-first design optimized for modern CPUs, Facebook's new compression algorithm translates directly to faster data transfer and smaller storage requirements.
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gRPC: a true internet-scale RPC framework is now 1.0 and ready for production deployments

gRPC: a true internet-scale RPC framework is now 1.0 and ready for production deployments | EEDSP | Scoop.it
gRPC 1.0 released
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Deep Learning Part 1: Comparison of Symbolic Deep Learning Frameworks

by Anusua Trivedi, Microsoft Data Scientist Background and Approach This blog series is based on my upcoming talk on re-usability of Deep Learning Models at the Hadoop+Strata World Conference in Singapore. This blog series will be in several parts – where I describe my experiences and go deep into the reasons behind my choices. Deep learning is an emerging field of research, which has its application across multiple domains. I try to show how transfer learning and fine tuning strategy leads to re-usability of the same Convolution Neural Network model in different disjoint domains. Application of this model acros
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Virtual Panel: Current State of NoSQL Databases

NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.
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Top Ten Machine Learning Articles for the Past Month. — Mybridge for Professionals

Top Ten Machine Learning Articles for the Past Month. — Mybridge for Professionals | EEDSP | Scoop.it
We’ve observed nearly 1,600 articles posted about machine learning, deep learning and AI in July 2016.
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Imen Azzouni's curator insight, August 5, 4:00 AM
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Spark Release 2.0.0 | Apache Spark

Spark Release 2.0.0 | Apache Spark | EEDSP | Scoop.it
Apache Spark 2.0.0 is the first release on the 2.x line. The major updates are API usability, SQL 2003 support, performance improvements, structured streaming, R UDF support, as well as operational improvements.
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How To Code Like The Top Programmers At NASA — 10 Critical Rules

How To Code Like The Top Programmers At NASA — 10 Critical Rules | EEDSP | Scoop.it
Fossbytes is a technology news and tutorial website that covers security and hacker news, open source, Windows 10, Ubuntu, and programming languages.
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Machine Learning Driven Programming: A New Programming for a New World - High Scalability -

Machine Learning Driven Programming: A New Programming for a New World - High Scalability - | EEDSP | Scoop.it

I know, you are tired of hearing about Deep Learning. Who isn’t by now? But programming has been stuck in a rut for a very long time and it's time we do something about it. Lots of silly little programming wars continue to be fought that decide nothing. Functions vs objects; this language vs that language; this public cloud vs that public cloud vs this private cloud vs that ‘fill in the blank’; REST vs unrest; this byte level encoding vs some different one; this framework vs that framework; this methodology vs that methodology; bare metal vs containers vs VMs vs unikernels; monoliths vs microservices vs nanoservices; eventually consistent vs transactional; mutable vs immutable; DevOps vs NoOps vs SysOps; scale-up vs scale-out; centralized vs decentralized; single threaded vs massively parallel; sync vs async. And so on ad infinitum.

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CUDA 8 Features Revealed

CUDA 8 Features Revealed | EEDSP | Scoop.it

CUDA Toolkit 8 Now Available.


CUDA 8 adds support for the Pascal GPU architecture, new Unified Memory capabilities, the new nvGraph GPU-Accelerated Graph Analytics library, new profiling

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The Neural Network Zoo - The Asimov Institute

The Neural Network Zoo - The Asimov Institute | EEDSP | Scoop.it
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely …
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Apache Spark @Scale: A 60 TB+ production use case

Apache Spark @Scale: A 60 TB+ production use case | EEDSP | Scoop.it
Through a series of performance and reliability improvements, we were able to scale Spark to handle a TB-scale entity ranking system in production.
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david-gpu/srez

david-gpu/srez | EEDSP | Scoop.it

Image super-resolution through deep learning. This project uses deep learning to upscale 16x16 images by a 4x factor. The resulting 64x64 images display sharp features that are plausible based on the dataset that was used to train the neural net.

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Microservices With AngularJS, Spring Boot, and Kafka - DZone Integration

Microservices With AngularJS, Spring Boot, and Kafka - DZone Integration | EEDSP | Scoop.it
Asynchronous end-to-end calls starting from the view layer to the backend is important in a microservices architecture because there is no guarantee that the containers which receive the calls will handle the response.
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Improving Inception and Image Classification in TensorFlow

Improving Inception and Image Classification in TensorFlow | EEDSP | Scoop.it
Earlier this week, we announced the latest release of the TF-Slim library for TensorFlow, a lightweight package for defining, training and evaluating models, as well as checkpoints and model definitions for several competitive networks in the field of image classification.
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OpenImageR, an image processing toolkit

OpenImageR, an image processing toolkit | EEDSP | Scoop.it
This blog post is about my recently released package on CRAN , OpenImageR. The package supports functions for image pre-processing, filtering and image
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AI's language problem

OSNews is Exploring the Future of Computing with news on desktop, server, mobile, and specialty operating systems and new computing technology.
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Interactive: The Top Programming Languages 2016

Interactive: The Top Programming Languages 2016 | EEDSP | Scoop.it
This app ranks the popularity of dozens of programming languages. You can filter them by listing only those most relevant to particular sectors, such as “Web” or “embedded programming.” Rankings are created by weighting and combining 12 metrics from 10 sources. We offer preset weightings—the default is our IEEE Spectrum ranking—but there are presets for those interested in what's trending or most looked for by employers. Don't like the defaults? Take complete control and create your own ranking by adjusting each metric's weighting yourself. To compare with previous year's data, add a comparison and then choose “edit ranking,” which will give you the option to compare with data from 2014 or 2015.
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Open MPI 2.0.0 Released - insideHPC

Open MPI 2.0.0 Released - insideHPC | EEDSP | Scoop.it
Today the Open MPI Team announced the release of Open MPI version 2.0.0. Version 2 is a major new release series containing many new features and bug fixes.
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