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A solar funnel that could lead to more efficient cells

A solar funnel that could lead to more efficient cells | EEDSP | Scoop.it
MIT researchers are looking to make more efficient solar cells by creating a funnel-like structure in a semiconductor material in order to make use of a broader spectrum of sunlight.
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EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
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Google Takes Unconventional Route with Homegrown Machine Learning Chips

Google Takes Unconventional Route with Homegrown Machine Learning Chips | EEDSP | Scoop.it
At the tail end of Google’s keynote speech at its developer conference Wednesday, Sundar Pichai, Google’s CEO mentioned that Google had built its own chip
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11 Deep Learning Articles, Tutorials and Resources

11 Deep Learning Articles, Tutorials and Resources | EEDSP | Scoop.it
According to Wikipedia, deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set…
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Operating System Interface Design Between 1981-2009

Operating System Interface Design Between 1981-2009 | EEDSP | Scoop.it
A Graphical User Interface (GUI for short) allows users to interact with the computer hardware in a user friendly way. Over the years a range of GUI's have
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What is machine learning?

What is machine learning? | EEDSP | Scoop.it
Learn more about machine learning, the process of building analytical models to automatically discover previously unknown patterns from data.
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Spark 2.0 Technical Preview: Easier, Faster, and Smarter

Spark 2.0 Technical Preview: Easier, Faster, and Smarter | EEDSP | Scoop.it
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.
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Number plate recognition with Tensorflow - Matt's ramblings

Number plate recognition with Tensorflow - Matt's ramblings | EEDSP | Scoop.it
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.
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R – GPU Programming for All with ‘gpuR’ – ParallelR

R – GPU Programming for All with ‘gpuR’ – ParallelR | EEDSP | Scoop.it
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.
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The rise of NoSQL databases

The rise of NoSQL databases | EEDSP | Scoop.it
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.
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Rancher Labs Release Rancher 1.0, An Open Source Cross-Cloud Container Management Platform

Rancher Labs Release Rancher 1.0, An Open Source Cross-Cloud Container Management Platform | EEDSP | Scoop.it
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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Optimizing Recurrent Neural Networks in cuDNN 5

Optimizing Recurrent Neural Networks in cuDNN 5 | EEDSP | Scoop.it
Details of cuDNN 5 optimizations for recurrent neural networks, along with information on the latest release of the GPU-accelerated deep neural network library
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Peter Norvig's answer to How do I train myself to transition from a career in software engineering to AI? - Quora

How do I train myself to transition from a career in software engineering to AI?
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From Node.js to Go

From Node.js to Go | EEDSP | Scoop.it
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.
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BigQuery and Dataproc shine in independent big data platform comparison | Google Cloud Big Data and Machine Learning Blog

BigQuery and Dataproc shine in independent big data platform comparison | Google Cloud Big Data and Machine Learning Blog | EEDSP | Scoop.it
Big data expert Mark Litwintschik benchmarks Google BigQuery, Hadoop, Spark, ElasticSearch, Presto and Google Cloud Dataproc with fascinating results.
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Machine learning accelerates the discovery of new materials

Machine learning accelerates the discovery of new materials | EEDSP | Scoop.it
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
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Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source

Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source | EEDSP | Scoop.it
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.
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SRC:CLR

SRC:CLR | EEDSP | Scoop.it

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.

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Massive Throughput Database Queries with LLVM on GPUs

Massive Throughput Database Queries with LLVM on GPUs | EEDSP | Scoop.it
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
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10 big changes with search engines over my 20 years of covering them

10 big changes with search engines over my 20 years of covering them | EEDSP | Scoop.it
Search Engine Land founding editor Danny Sullivan looks at how search has changed over the two decades he's been writing about it.
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Deep Learning

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.
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gpucc: an open-source GPGPU compiler

gpucc: an open-source GPGPU compiler | EEDSP | Scoop.it
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
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