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X-47B demonstrator makes first catapult launch

X-47B demonstrator makes first catapult launch | EEDSP | Scoop.it
The X-47B Unmanned Combat Air System (UCAS) demonstrator has taken yet another step on the path towards unmanned aircraft operating amongst piloted aircraft...
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EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
Curated by Shiwon Cho
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New Optimizations Improve Deep Learning Frameworks For CPUs

New Optimizations Improve Deep Learning Frameworks For CPUs | EEDSP | Scoop.it
Today, most machine learning is done on processors. Some would say that acceleration of learning has to be done on GPUs, but for most users that is not goo
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abseil / abseil.io

abseil / abseil.io | EEDSP | Scoop.it

Google has developed many abstractions that either match or closely match features incorporated into C++14, C++17, and beyond. Using the Abseil versions of these abstractions allows you to access these features now, even if your code is not yet ready for life in a post C++11 world.

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A Meta-analysis of DAVIS-2017 Video Object Segmentation Challenge

A Meta-analysis of DAVIS-2017 Video Object Segmentation Challenge | EEDSP | Scoop.it
In the previous post: Video Object Segmentation — The Basics, we’ve gone through the problem definition of Video Object Segmentation, its metrics and nuances. Then we’ve covered the two main…
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Introducing: Unity Machine Learning Agents – Unity Blog

Introducing: Unity Machine Learning Agents – Unity Blog | EEDSP | Scoop.it
Our two previous blog entries implied that there is a role games can play in driving the development of Reinforcement Learning algorithms. As the world’
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Four deep learning trends from ACL 2017 | Abigail See

Four deep learning trends from ACL 2017 | Abigail See | EEDSP | Scoop.it
In this two-part post, I describe four broad research trends that I observed at the conference (and its co-located events) through papers, presentations and discussions. The content is guided entirely by my own research interests; accordingly it’s mostly focused on deep learning, sequence-to-sequence models, and adjacent topics. This first part will explore two inter-related themes: linguistic structure and word representations.
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Deep Learning with Intel’s BigDL and Apache Spark - Cloudera Engineering Blog

Deep Learning with Intel’s BigDL and Apache Spark - Cloudera Engineering Blog | EEDSP | Scoop.it
Cloudera recently published a blog post on how to use Deeplearning4J (DL4J) along with Apache Hadoop and Apache Spark to get state-of-the-art results on an image recognition task. Continuing on a similar stream of work, in this post we discuss a viable alternative that is specifically designed to be used with Spark, and data available in Spark and Hadoop clusters via a Scala or Python API.
The Deep Learning landscape is still evolving. Read more
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Transformer: A Novel Neural Network Architecture for Language Understanding

Transformer: A Novel Neural Network Architecture for Language Understanding | EEDSP | Scoop.it
Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks
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Distributed TensorFlow and the hidden layers of engineering work

Distributed TensorFlow and the hidden layers of engineering work | EEDSP | Scoop.it
By Brad Svee, Staff Cloud Solutions Architect With all the buzz around Machine Learning as of late, it’s no surprise that companies ar
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NVIDIA Deep Learning SDK Update for Volta Now Available – NVIDIA Developer News Center

NVIDIA Deep Learning SDK Update for Volta Now Available – NVIDIA Developer News Center | EEDSP | Scoop.it
At GTC 2017, NVIDIA announced Volta optimized updates to the NVIDIA Deep Learning SDK. Today, we’re making these updates available as free downloads to members of the NVIDIA Developer Program. Deep learning frameworks using NVIDIA cuDNN 7 and NCCL 2 can take advantage of new features and performance benefits of the Volta architecture.
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From Microservices to Service Blocks using Spring Cloud Function and AWS Lambda

From Microservices to Service Blocks using Spring Cloud Function and AWS Lambda | EEDSP | Scoop.it
This blog post will introduce you to building service block architectures using Spring Cloud Function and AWS Lambda.
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Introduction to reinforcement learning and OpenAI Gym

Introduction to reinforcement learning and OpenAI Gym | EEDSP | Scoop.it

Those interested in the world of machine learning are aware of the capabilities of reinforcement-learning-based AI. The past few years have seen many breakthroughs using reinforcement learning (RL). The company DeepMind combined deep learning with reinforcement learning to achieve above-human results on a multitude of Atari games and, in March 2016, defeated Go champion Le Sedol four games to one. Though RL is currently excelling in many game environments, it is a novel way to solve problems that require optimal decisions and efficiency, and will surely play a part in machine intelligence to come.

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Introducing NNVM Compiler: A New Open End-to-End Compiler for AI Frameworks | Amazon Web Services

Introducing NNVM Compiler: A New Open End-to-End Compiler for AI Frameworks | Amazon Web Services | EEDSP | Scoop.it
You can choose among multiple artificial intelligence (AI) frameworks to develop AI algorithms. You also have a choice of a wide range of hardware to train and deploy AI models. The diversity of frameworks and hardware is crucial to maintaining the health of the AI ecosystem. This diversity, however, also introduces several challenges to AI […]
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NVIDIA Deep Learning Accelerator

NVIDIA Deep Learning Accelerator | EEDSP | Scoop.it
The NVIDIA Deep Learning Accelerator (NVDLA) is a free and open architecture that promotes a standard way to design deep learning inference accelerators.
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Build your own Machine Learning Visualizations with the new TensorBoard API

Build your own Machine Learning Visualizations with the new TensorBoard API | EEDSP | Scoop.it
Posted by Chi Zeng and Justine Tunney, Software Engineers, Google Brain Team When we open-sourced TensorFlow in 2015 , it include
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10 Common Software Architectural Patterns in a nutshell

10 Common Software Architectural Patterns in a nutshell | EEDSP | Scoop.it
Ever wondered how large enterprise scale systems are designed? Before major software development starts, we have to choose a suitable architecture that will provide us with the desired functionality…
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Exploring K-Means in Python, C++ and CUDA

Exploring K-Means in Python, C++ and CUDA | EEDSP | Scoop.it

 Implementations of K-Means in three different environments: C++, CUDA and Python

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Sound Pattern Recognition with Python – Adilson Neto – Medium

Sound Pattern Recognition with Python – Adilson Neto – Medium | EEDSP | Scoop.it
As you can probably tell from the title in this post I will be toying around with python and sound to detect sound patterns. More specifically, knocking patterns, like the ones you make when you…
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An Intuitive Guide to Deep Network Architectures – Towards Data Science – Medium

An Intuitive Guide to Deep Network Architectures – Towards Data Science – Medium | EEDSP | Scoop.it
Understanding the theory and intuition behind ResNet, Inception, and Xception
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How does physics connect to machine learning? – Jaan Altosaar

How does physics connect to machine learning? – Jaan Altosaar | EEDSP | Scoop.it
Did Richard Feynman help seed a key machine learning technique in the 60s?
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人工知能(AI)を実現するディープラーニング(深層学習)の統合開発環境Neural Network Consoleを公開

人工知能(AI)を実現するディープラーニング(深層学習)の統合開発環境Neural Network Consoleを公開 | EEDSP | Scoop.it

ソニーはディープラーニング(深層学習)のプログラムを生成できる統合開発環境「コンソールソフトウェア:Neural Network Console」の無償提供を本日より開始しました。


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A Semiconductor That Can Beat the Heat | Berkeley Lab

A collective rattling effect in a type of crystalline semiconductor blocks most heat transfer while preserving high electrical conductivity.
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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data | EEDSP | Scoop.it
Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and…
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