1 August 26th, 2016

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Deep Learning is the fastest-growing field in artificial intelligence (AI).

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How Much Deep Learning and Machine Learning are Impacting Industries in Enterprise

Image courtesy: Forbes

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Here’s the “Top Five” stories highlighting why AI and Deep Learning are hot…

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Stanford and Baidu Inc. Deep Learning Speech Recognition Experiment

“We were noticing that in the past two to three years, speech recognition was actually improving a lot, benefiting from big data and deep learning to train its neural networks to produce faster, more accurate results. So we decided to formally test it against humans.” – James Landay, Professor of Computer Science at StanfordREAD

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For more information on Stanford and Baidu’s projects: Watch their commentated VideoStanford

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Deep Learning Training vs. Inference

NVIDIA Blog

2School’s in session. That’s how to think about deep neural networks going through the “training” phase… the trained neural network is put to work out in the digital world using what it has learned — to recognize images, spoken words, a blood disease, This speedier and more efficient version of a neural network infers things about new data it’s presented with based on its training… known as “inference.”

Training can teach deep learning networks to correctly label images of cats. Explore more about Deep Learning

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Deep Learning Start Up Will Help You Write Emails

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3Boomerang makes a plug-in for Gmail and Outlook that lets you hit the “snooze button” on certain messages. They’ll disappear from your inbox but then reappear at later time. But today, the company added a new twist to this plug-in: a new AI-powered tool called “Respondable.” Respondable analyzes your messages as you write them, predicts how likely they are to get a response, and then suggests ways you can improve them

WIRED Business

Explore other applications of Deep Learning HERE.

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How AI, Machine Learning Is Impacting The FDA

Forbes

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4In July, the Food and Drug Administration issued guidance on three topics important to the future of medical innovation. However, the guidelines also show the FDA will be limited in its ability to respond effectively to future innovations. Current law does not really define the FDA’s powers to regulate devices that depend on advances in artificial intelligence and machine learning, as applied to health care.

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Machine Learning and Satellites Are Mapping Poverty

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5“One of the biggest challenges in providing relief to people living in poverty is locating them,” the release states. “The availability of accurate and reliable information on the location of impoverished zones is surprisingly lacking for much of the world, particularly on the African continent. Aid groups and other international organizations often fill in the gaps with door-to-door surveys, but these can be expensive and time-consuming to conduct.”

National GeographicExplore more information on the GPUs powering this project HERE.

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How can Deep Learning Impact your Business?www.nvidia.com/deep-learning