Portrait d’Edmond de Belamy — Wikipédia

Le Portrait d’Edmond de Belamy est une impression sur toile, première œuvre d’art produite par un logiciel d’intelligence artificielle à être présentée dans une salle des ventes. Ce portrait d’un personnage fictif a été vendu 432 500 dollars chez Christie’s le 25 octobre 2018. Source: Portrait d’Edmond de Belamy — Wikipédia


 
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NVIDIA Tesla V100 – GPU computing processor – Tesla V100 – 32 GB | Grand & Toy

NVIDIA Tesla V100 is the excellent data center GPU, ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta, the advanced GPU architecture, Tesla V100 offers the performance of many CPUs in a single GPU – enabling data scientists, researchers, and engineers to tackle challenges, that were once thought impossible. Volta architecture Tensor Core Advanced NVLink HBM2 Maximum efficiency mode Improved programmability

Source: NVIDIA Tesla V100 – GPU computing processor – Tesla V100 – 32 GB | Grand & Toy

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GauGAN | ACM SIGGRAPH 2019 Real-Time Live!

We propose GauGAN, a GAN-based image synthesis model that can generate photo-realistic images given an input semantic layout. It is built on spatially-adaptive normalization, a simple but effective normalization layer. Previous methods directly feed the semantic layout as input to the deep network, which is then processed through stacks of convolution, normalization, and non-linearity layers. … Read more GauGAN | ACM SIGGRAPH 2019 Real-Time Live!


 
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Leila Janah | Entrepreneur

Since its founding, Samasource has impacted the lives of over 50,000 people in developing countries around the world by providing them the tools to become competitive laborers in the digital age. Leila’s book, Give Work: Reversing Poverty One Job at a Time, was released in 2017. Source: Leila Janah | Entrepreneur


 
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MantaFlow / General Concepts

 General Concepts The aim of this section is to provide some insights about general design choices of the mantaflow code. All simulations use normalized spatial coordinates. Thus a cell always has size one. This shifts complexity into the scene setups, but prevents numerical problems in the simulation, and improves readbility of the values you’ll encounter … Read more MantaFlow / General Concepts


 
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Quantum neural network – Wikipedia

Quantum neural networks (QNNs) are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural computation were published independently in 1995 by Subhash Kak[1] and Ron Chrisley,[2] engaging with the theory of quantum mind, which posits that quantum effects play a role in cognitive function. However, … Read more Quantum neural network – Wikipedia


 
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Serving Models  |  TFX  |  TensorFlow

IntroductionTensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. TensorFlow Serving makes it easy to deploy new algorithms and experiments, while keeping the same server architecture and APIs. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and … Read more Serving Models  |  TFX  |  TensorFlow


 
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Deep Convolutional Generative Adversarial Network  |  TensorFlow Core

This tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network (DCGAN). The code is written using the Keras Sequential API with a tf.GradientTape training loop.What are GANs?Generative Adversarial Networks (GANs) are one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator (“the artist”) learns to create images that look real, while a discriminator (“the art

Source: Deep Convolutional Generative Adversarial Network  |  TensorFlow Core

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(5) Reflectance modeling by neural texture synthesis

We extend parametric texture synthesis to capture rich, spatially varying parametric reflectance models from a single image. Our input is a single head-lit flash image of a mostly flat, mostly stationary (textured) surface, and the output is a tile of SVBRDF parameters that reproduce the appearance of the material. No user intervention is required. Our … Read more (5) Reflectance modeling by neural texture synthesis


 
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