AI App Identifies Plants and Animals In Seconds

News, Research, cuDNN, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 09 2017

The popular website for nature lovers, iNaturalist.org is launching a deep learning-based app that automatically identifies plants and animals down to the species level. Founded in 2008 by students at University of California, Berkeley and recently acquired by the California Academy of Sciences, iNaturalist has until now been solely a crowdsourcing site. Users upload a

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Facebook Trains ImageNet in 1 Hour

Research, Cluster / Supercomputing, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jun 08 2017

Facebook published a paper today detailing how they are able to train nearly 1.3 million images in under an hour using 256 Tesla P100 GPUs that previously took days on a single system.      The team reduced the training time of a ResNet-50 deep learning model on ImageNet from 29 hours to one – which

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AI Turns UI Designs Into Code

Research, CUDA, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jun 05 2017

Copenhagen-based startup UIzard Technologies trained a neural network to automatically generate code from a graphical user interface screenshot. Currently, a UI designer mocks up the interface and then the front-end developer takes the design and translates it into code – but, what if an AI system can do this for you? The company’s slogan is

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Developer Voices

Research, CUDA, cuDNN, Developer Voices, GeForce, Jetson

Nadeem Mohammad, posted Jun 02 2017

We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week: How many Jetsons are too many Jetsons? Correct ans = number of Jetsons you own + 1. @nvidia @nvidiadeveloper @GPUComputing #DeepLearning pic.twitter.com/7ALPHBWqq0 — Shreyas Skandan (@ShreyasSkandan) May 27, 2017 Our mission is to make #healthcare accessible and

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GPUs and Deep Learning Could Help Control Robots in Space

News, Research, Aerospace, Astronomy & Astrophysics, cuDNN, Defense, Energy/Oil & Gas, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 01 2017

A six-person startup from Seattle developed augmented telerobotics software that gives humans better control of remotely operated robots which can be useful for exploring Mars or other planets. BluHaptics specializes in robotic control for underwater environments, but with a recently awarded grant funded by NASA, they are now applying their software to control robotic operations

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