New Deep Learning Method Enhances Your Selfies

Research, cuDNN, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla, Video Processing

Nadeem Mohammad, posted Jul 05 2016

Researchers from Adobe Research and The Chinese University of Hong Kong created an algorithm that automatically separates subjects from their backgrounds so you can easily replace the background and apply filters to the subject. Their research paper mentions there are good user-guided tools that support manually creating masks to separate subjects from the background, but

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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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