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Edge AI: discover the new limits of Artificial Intelligence

mjvinnovation

Ten years ago, we would not imagine that Artificial Intelligence would be at today’s levels. Edge AI is the processing of Artificial Intelligence algorithms on edge, that is, on users’ devices. Besides, they can apply Deep Learning models and advanced algorithms autonomously. What is Edge AI?

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Applications and innovations in the Internet of Things (IoT)

hackerearth

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. are able to detect when people are present in a room and adjust the lights accordingly. The device also learns the preferences of its user and adjusts itself accordingly.

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10 Practical uses of deep learning

IdeaSpies

Deep learning has altered the way we operate in various ways. These are 10 practical use cases of Deep Learning in the last few years. Most airports are now able to use deep learning techniques to identify and track persons of interest (e.g. E-commerce sites, such as ebay and Amazon, are greatly benefited through Deep Learning.

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11 Artificial Intelligence Eureka!s for Organizations: my recap of World Summit AI 2017

Open Innovation EU

In 1990 Kurzweil instantly incubated the way we think about Artificial Intelligence (AI) with his work The Age of Intelligent Machines. Last week, on October 11 and 12, over 2000 professionals in AI gathered in Amsterdam at the World Summit AI 2017 and discussed the state of Artificial Intelligence and Machine Learning.

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Deep learning techniques

IdeaSpies

If you have been wondering how there is always so much to do yet so little time, time has come when you can finally put a halt to that thought as artificial intelligence has just the things you need. Let us take into consideration 10 practical use cases of Deep Learning Techniques that have been witnessed in the last few years.

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10 Practical uses of Deep Learning

IdeaSpies

Deep learning has altered the way we operate in various ways. These are 10 practical use cases of Deep Learning in the last few years. ONE: Facial Recognition Most airports are now able to use deep learning techniques to identify and track persons of interest (e.g. The entire session journeys of consumers are noted.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.