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AI Helps You Paint Like Van Gogh – NVIDIA Developer News Center

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Product design and development firm Cambridge Consultants developed a deep learning-based system that turns human sketches into paintings that resemble Van Gogh, Cézanne and Picasso. "What we've built would have been unthinkable to the original deep learning pioneers," said Monty Barlow, director machine learning at Cambridge Consultants in reference to their interactive system that call Vincent. "By successfully combining different machine learning approaches, such as adversarial training, perceptual loss, and end-to-end training of stacked networks, we've created something hugely interactive, taking the germ of a sketched idea and allowing the history of human art to run with it." Once trained on nearly 200 million parameters, Vincent is able to understand the important edges in paintings and uses this understanding to produce a complete picture.


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NVIDIA GPUs have been on the forefront of accelerated neural network processing and are the de facto standard for accelerated neural network research and development (R&D) plus deep learning training. At the NVIDIA GPU Technology Conference (GTC) in Beijing China earlier this week, the company maneuvered to also become the de facto standard for accelerated neural network inference deployment. At GTC Beijing, NVIDA lined up the major Chinese cloud companies for AI computing: Alibaba Cloud, Baidu Cloud, and Tencent Cloud. At GTC-Beijing, it announced inference designs with Alibaba Cloud, Tencent, Baidu Cloud, JD.com, and iFlytek.


Future of drones: How AI is driving UAV intelligence, autonomy

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For example, a company called Intelligent Flying Machines built a drone that can autonomously navigate through a warehouse and match what's on the shelves to what's in the inventory system to help the distribution center manage inventory better. We see a lot of opportunity in other areas like precision agriculture, package delivery, safety and security, and search and rescue. For the areas that I mentioned -- industrial inspection, precision agriculture, package delivery, safety and security, search and rescue -- there's going to be an opportunity for UAVs to solve these challenges in a way they haven't been able to before. Clayton: Nvidia makes Jetson, and Jetson is Nvidia's platform for artificial intelligence for edge devices like UAVs.


Vincent AI Sketch Demo Draws In Throngs at GTC Europe The Official NVIDIA Blog

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The story behind the story: a finely tuned generative adversarial network that sampled 8,000 great works of art -- a tiny sample size in the data-intensive world of deep learning -- and in just 14 hours of training on an NVIDIA DGX system created an application that takes human input and turns it into something stunning. Building on thousands of hours of research undertaken by Cambridge Consultants' AI research lab, the Digital Greenhouse, a team of five built the Vincent demo in just two months. After Huang's keynote, GTC attendees had the opportunity to pick up the stylus for themselves, selecting from one of seven different styles to sketch everything from portraits to landscapes to, of course, cats. While traditional deep learning algorithms have achieved stunning results by ingesting vast quantities of data, GANs create applications out of much smaller sample sizes by training one neural network to try to imitate the data they're fed, and another to try to spot fakes.


Google's dedicated TensorFlow processor, or TPU, crushes Intel, Nvidia in inference workloads - ExtremeTech

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First, Turbo mode and GPU Boost were disabled for both the Haswell and Nvidia GPUs, not to artificially tilt the score in favor of the TPU, but because Google's data centers prioritize dense hardware packing over raw performance. As for Nvidia's K80, the test server in question deployed four K80 cards with two GPUs per card, for a total of eight GPU cores. Packed that tightly, the only way to take advantage of the GPU's boost clock without causing an overheat would have been to remove two of the K80 cards. Since the clock frequency increase isn't nearly as potent as doubling the total number of GPUs in the server, Google leaves boost disabled on these server configurations.


Tensorflow Tutorial, Part 2 – Getting Started

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The second part is a tensorflow tutorial on getting started, installing and building a small use case. Different operating systems have different means to install tensorflow. In this case, we will generate house size to predict house prices. We will train our model on the training data and test our model on the test data to see how accurate our predictions are.


Installing Nvidia, Cuda, CuDNN, TensorFlow and Keras

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In this post I will outline how to install the drivers and packages needed to get up and running with TensorFlow's deep learning framework. To start, install Ubuntu 14.04 Server. Download the Cuda 7.5 library run file, using wget and install the driver, the toolkit, and samples. CuDNN is a library that helps accelerate deep learning frameworks, such as TensorFlow or Theano.


Tensorflow Tutorial : Part 2 – Getting Started

@machinelearnbot

The second part is a tensorflow tutorial on getting started, installing and building a small use case. Different operating systems have different means to install tensorflow. In this case, we will generate house size to predict house prices. We will train our model on the training data and test our model on the test data to see how accurate our predictions are.


Data scientists: Data Science is next big thing in decision-making - The Economic Times

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Sunrise Sectors: As per the Analytics India Report 2017, big data and decision sciences are the next sunrise sectors. Many of them admit that they haven't been able to leverage its benefits due to the shortfall in talent and because of this dearth of highly skilled human resources, professionals with big data skills will command huge salaries. TimesPro Decision Sciences: TimesPro, a part of Times Professional Learning, offers three avenues to explore decision sciences as a career through a combination of basic and advanced-level courses for students at different levels of understanding and growth in their careers. The three comprehensive programmes -- post-graduate diploma in data science, post-graduate diploma in advance data sciences and certificate in advance decision science -- are divided into modules, with a special focus on all important aspects of artificial intelligence (AI), analytics, internet of things, deep learning and machine learning.


NVIDIA morphs from graphics and gaming to AI and deep learning 7wData

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But Artificial Intelligence (AI) has, in a way, brought math co-processors back in vogue, by utilizing graphics processing units (GPUs) in a similar supporting role. Specifically, the work required to train predictive machine learning models, especially those based on neural networks and so-called deep learning, involves analyzing large volumes of data, looking for patterns and building statistically-based heuristics. CCDS just took delivery of the world's first NVIDIA DGX-1 supercomputer in December of last year and has already successfully trained machine learning models to do work not only in the sphere of radiology but also in cardiology, ophthalmology, dermatology and psychiatry. CCDS will soon be using a DGX Station -- an AI-specialized desktop workstation -- for medical AI work as well.