Artificial Intelligence System Predicts How You Will Look With Different Hair Styles

Research, Caffe, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Jul 27 2016

A new personalized search engine helps you explore what you would look like with brown hair, curly hair or in a different time period.

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Creating Virtual Reality Experiences for the NFL with GPUs

News, CUDA, GeForce, Media & Entertainment, Virtual Reality

Nadeem Mohammad, posted Jul 22 2016

The Tampa Bay Buccaneers unveiled a state-of-the-art experience to provide fans with the ability to virtually sample the new gameday enhancements that will debut beginning with the team’s 2016 season.

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World’s Fastest Commercial Drone Powered by Jetson TX1

News, Embedded, Image Processing, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Media & Entertainment, Robotics, Video Processing

Nadeem Mohammad, posted Jul 21 2016

Records were made to be broken, and drones are no exception. Teal Drones unveiled its first production product, Teal, a Jetson TX1-powered drone capable of flight speeds in excess of 70 mph.

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Share Your Science: Microsoft Developing Applications for the Visually Impaired

Features, Research, cuDNN, GeForce, Image Processing, Image Recognition, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Medical and Life Sciences, Share Your Science, Tesla

Nadeem Mohammad, posted Jul 18 2016

Ken Tran, Senior Research Engineer at Microsoft Research shares how they are using deep learning to create applications for people who are blind or visually impaired.

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Teaching an AI to Detect Key Actors in Multi-person Videos

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

Nadeem Mohammad, posted Jul 06 2016

Researchers from Google and Stanford have taught their computer vision model to detect the most important person in a multi-person video scene – for example, who the shooter is in a basketball game which typically contains dozens or hundreds of peopl

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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.

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New App Uses Deep Learning to Suggest Emojis

News, Cloud, Image Processing, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jun 16 2016

Dango is a new mobile that automatically suggests the best emoji, stickers and GIF images to include in your text conversations.

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Smart Home Hub Brings Artificial Intelligence Into Your Home

News, Image Processing, Internet / Communications, Internet of Things, Jetson, Machine Learning & Artificial Intelligence, Media & Entertainment, Video Processing

Nadeem Mohammad, posted Jun 02 2016

A new AI-powered device will be able to replace all of your various smart home control apps, as well as being able to recognize specific people and respond to a range of emotions and gestures.

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Deep Learning Helps Transfer Famous Artistic Styles to Videos

Research, Computer Vision & Machine Vision, cuDNN, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Jun 01 2016

A new style transfer algorithm makes clips from Ice Age appear as paintings in the style of van Gogh’s “Starry Night”.

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Adobe Adds ‘Shazam for Fonts’ Tool to Photoshop

News, Research, Image Processing, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted May 18 2016

Designers have thousands of fonts to choose from, but what do you when you see the perfect font on a building or on a flyer you found on the street?

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