Smart Device Brings AI Control to Your Camera

News, cuDNN, GeForce, Image Processing, Internet of Things, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted May 25 2017

Arsenal, a camera technology startup from Bozeman, Montana, is an intelligent camera assistant that leverages deep learning to determine the optimal settings for the scene you’re shooting.

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Robot Uses Deep Learning to Grasp Awkward and Unusual Objects

Research, cuDNN, GeForce, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted May 24 2017

Researchers from University of California, Berkeley and Siemens designed a robot that learns how to grip new objects just by studying a database of 3D shapes.

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Artificial Intelligence and Drones Help Combat Poaching in Africa

News, Research, cuDNN, Image Processing, Machine Learning & Artificial Intelligence, Robotics, Tesla, Video Processing, Workstation

Nadeem Mohammad, posted May 23 2017

Boston-based AI startup Neurala has partnered with the Lindbergh Foundation in an effort to combat poaching in Africa using intelligent drones and deep learning.

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Mobile App Helps Find Furniture You See in the Real World

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

Nadeem Mohammad, posted Aug 23 2016

Take a photo of a chair and a new mobile app will tell you where to buy it, and show you pictures of how it will look in various rooms.

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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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Meet the New Tesla-Accelerated Supercomputer at Michigan State University

News, Research, Cluster / Supercomputing, Higher Education / Academia, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, Medical and Life Sciences, Molecular Dynamics, Tesla

Nadeem Mohammad, posted Jul 14 2016

Accelerated by 200 Tesla K80 GPUs, the Laconia Supercomputer was recently unveiled at the Institute for Cyber-Enabled Research at Michigan State University.

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Using Sketches to Search for Products Online

Features, Research, cuDNN, Higher Education / Academia, Image Processing, Internet / Communications, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jul 13 2016

Sometimes drawing a quick sketch is easier than using text to describe a particular product you have in mind.

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Applications Open: Compute the Cure Research Grant

News, Research, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Medical and Life Sciences, Tesla

Nadeem Mohammad, posted Jul 07 2016

The NVIDIA Foundation announced today the availability of up to two research grants worth $200,000 each as part of its Compute the Cure initiative to advance the fight against cancer.

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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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