Facebook and CUDA Accelerate Deep Learning Research

News, Research, CUDA, cuDNN, Development Tools & Libraries, Image Processing, Internet / Communications, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jun 30 2016

Last Thursday at the International Conference on Machine Learning (ICML) in New York, Facebook announced a new piece of open source software aimed at streamlining and accelerating deep learning research. The software, named Torchnet, provides developers with a consistent set of widely used  deep learning functions and utilities. Torchnet allows developers to write code in

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Pinterest Introduces the Future of Visual Search

News, Research, Caffe, Cloud, GeForce, Image Processing, Internet / Communications, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 30 2016

The popular social photo sharing site is adding the ability for people to take a photo of things in the real-world and get recommendations for similar products on Pinterest. For example, If you take a photo of a room with a purse and a lamp on a table that you like, Pinterest will show you

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Saving Earth’s Coral Reefs with Deep Learning

Research, Caffe, Climate/Weather/Ocean Modeling, cuDNN, GeForce, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 29 2016

Global warming and pollution are causing severe stress to coral reefs across the world. Researchers from the University of California Berkeley and University of Queensland developed a deep learning process that automatically analyzes reef photos that will help measure reef health and changes over time. Reefs provide food and shelter for more than a quarter

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Ford Using Deep Learning for Lane Detection

Research, Automotive, Caffe, cuDNN, Image Processing, Machine Learning & Artificial Intelligence, Video Processing

Nadeem Mohammad, posted Jun 28 2016

Researchers from the recently expanded Ford Research and Innovation Center in Palo Alto, California developed a new sub-centimeter accurate approach to estimate a moving vehicle’s position within a lane in real-time. To achieve this level of precision the researchers trained a deep neural network, aptly named DeepLanes, to process input images from two laterally-mounted down-facing

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Shadertoy Contest 2016 Announced


David Coombes, posted Jun 27 2016

If you are into shaders, procedural content and hacking, the Shadertoy Competition 2016 starts on July 3rd! Just like every year, Shadertoy organizes a one month-long competition where the best and most talented shader writers in the world show off their skills and win honor and pride. Anybody can participate, it is online and it is free! #ShadertoyCompetition

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