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If You Love Machine Learning, You Should Check Out General Electric -- The Motley Fool

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GE for GE: Deploy the digital industrial blueprint to improve its own manufacturing operations through Brilliant Factories, internal and external supply chains with the asset management system called the Digital thread, and engineering design with machine-learning modeling software called the Digital twin.


4 Unique Challenges Of Industrial Artificial Intelligence

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Robots are probably the first thing you think of when asked to imagine AI applied to industrials and manufacturing. Indeed many innovative companies like Rodney Brooks' Rethink Robotics have developed friendly-looking robot factory workers who hustle alongside their human colleagues. Industrial robots have historically been designed to perform specific niche tasks, but modern-day robots can be taught new tasks and make real-time decisions.


On Machine Learning with Self Organizing Maps

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Self Organizing Map (SOM) is a form of Artificial Neural Network (ANN) belonging to a class of Machine Learning. AI Junkie has a GREAT tutorial about it. What I like about SOMs is that they belong to a class of unsupervised learning models and they hold true to the first law of geography.


IBM Wants To Build AI That Isn't Socially Awkward Fast Company

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Last month, High's company unveiled Project Intu, an experimental platform that allows developers the ability to build internet of things devices using its artificial intelligence services, like Conversation, Language and Visual Recognition. Someday, the system promises to let programmers create a staple character of sci-fi: the gregarious, hyper-connected AI like J.A.R.V.I.S. of Iron Man, KITT of Knight Rider, or Star Wars' C3PO.


Nowhere to Go: Automation, Then and Now Part Two

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Arithmetically, the problem is a combination of collapsing productivity and insufficient capital investment.



Wisdom gained: A good engineer should have artisan spirit

MIT News

In February, the Edgerton Center hosted 60 10th-grade students from the Beijing Chenjinglun School in Beijing, China, for a workshop on underwater remotely operated vehicles (ROVs). The visit was organized by Pei Zhang, executive director of the U.S. China Scitech Education Promotion Association, and led by Edgerton Center instructors Ed Moriarty and Cheetiri Smith, with the assistance of many volunteers and translators.


Dark analytics: Illuminating opportunities hidden within unstructured data

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Across enterprises, ever-expanding stores of data remain unstructured and unanalyzed. Few organizations have been able to explore nontraditional data sources such as image, audio, and video files; the torrent of machine and sensor information generated by the Internet of Things; and the enormous troves of raw data found in the unexplored recesses of the "deep web." However, recent advances in computer vision, pattern recognition, and cognitive analytics are making it possible for companies to shine a light on these untapped sources and derive insights that lead to better experiences and decision making across the business.


ŷhat Self-Organising Maps: In Depth

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About David: David Asboth is a Data Scientist with a software development background. He's had many different job titles over the years, with a common theme: he solves human problems with computers and data. This post originally appeared on his blog, davidasboth.com


ŷhat Self-Organising Maps: An Introduction

#artificialintelligence

About David: David Asboth is a Data Scientist with a software development background. He's had many different job titles over the years, with a common theme: he solves human problems with computers and data. This post originally appeared on his blog, davidasboth.com