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John Deere Dubuque Works (Dubuque, Iowa), a manufacturer of agriculture and industrial equipment, has implemented a virtual-reality system to use in its construction division. The system enables John Deere to use virtual-product prototypes to assess key design factors in construction equipment, such as visibility and the ability to reach controls. Nabisco Biscuit (East Hanover, N.J.), a manufacturer of cookies and crackers, has installed an intelligent process-operating guidelines (POG) system. This POG system uses expert system technology to provide realtime process control information to the bakeries. Automotive manufacturer Ford Powertrain Operations (Dearborn, Mich.) has developed a flexible manufacturing system that is being controlled by an intelligent cell controller.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.


7 Content Marketing Trends for 2018

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Content marketing has been around since 1895, when the John Deere company started a magazine for farmers. Fast forward to today, when brands have infinite media options for engaging customers--web sites, blogs, videos, social media, podcasts, and webinars among them. Each medium offers a different way to tell a story, educate prospects, and turn customers into advocates. And as 2018 approaches, newer forms of content marketing are gaining traction, including virtual reality (VR), augmented reality (AR), and virtual assistants like Amazon's Alexa. Here are 7 trends content marketers are predicting for 2018.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.


Komatsu Helps Improve Mining Performance with Industrial Internet of Things (IIoT) Platform Powered by Cloudera

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Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics, optimized for the cloud, announced that Komatsu, a leading global heavy equipment manufacturer, has implemented a cloud-based Industrial Internet of Things (IIoT) analytics platform powered by Cloudera Enterprise and Microsoft Azure. The platform enables Komatsu teams to help mining customers around the world continuously monitor the performance of some of the largest equipment used in surface and underground mining, increase asset utilization and productivity, and deliver essential resources including energy and industrial minerals for the global economy. Komatsu's JoySmart Solutions is an IIoT-based service that helps customers optimize machine performance using machine data and analytics. The JoySmart platform ingests, stores and processes a wide variety of data collected from mining equipment operating around the globe, often at very remote locations in harsh conditions. Types of equipment monitored includes longwall mining systems, electric rope shovels, continuous miners and wheel loaders.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.


Computer vision, machine learning, cloud computing will create entirely new construction ecosystems Equipment World Construction Equipment, News and Information

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These two Cat 793Fs are part of the autonomous mine truck fleet now at work globally. Cat says there will 100 such trucks working by the end of 2017. Imagine a time in the very near future when your hand-held concrete drill contains the entire layout of a job in its CPU and guides you to exactly where the holes need to be drilled. You never have to measure or use a chalk line or set the depth of the drill. It knows where to drill, how deep and everything it needs to know about the job.


Latest John Deere Acquisition Could Lead to Machine Learning in Agriculture Equipment

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John Deere has officially acquired Blue River Technology, the machine learning technology company that puts a large focus on agriculture. Blue River develops equipment that can be used by agricultural specialists and producers to optimize their daily work. "As a leader in precision agriculture, John Deere recognizes the importance of technology to our customers. "Blue River is advancing precision agriculture by moving farm management decisions from the field level to the plant level," said Jorge Heraud, co-founder and CEO of Blue River Technology.