Oil & Gas


Canada has a chance to monopolize the artificial intelligence industry - The Globe and Mail

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Commit to building the world's best AI ecosystem: The winning AI cluster will create many high-paying jobs and create spillover effects for the middle class – but the also-rans will not. Create at-scale AI training programs: Industry can form coalitions to collect data, oversee curriculum development and rapidly retrain workers in the skills needed to succeed in nascent AI applications. Launch innovative new training models: The government could launch and fund a "venture capital lab" to create innovative training programs, so new training ideas can be tested, validated and scaled up (as recommended by the Advisory Council on Economic Growth). Build real links between companies and research schools: Large companies could partner with universities and vocational schools to provide equipment, facilities and expertise to prepare students for AI.


Flipboard on Flipboard

#artificialintelligence

Commit to building the world's best AI ecosystem: The winning AI cluster will create many high-paying jobs and create spillover effects for the middle class – but the also-rans will not. Create at-scale AI training programs: Industry can form coalitions to collect data, oversee curriculum development and rapidly retrain workers in the skills needed to succeed in nascent AI applications. Launch innovative new training models: The government could launch and fund a "venture capital lab" to create innovative training programs, so new training ideas can be tested, validated and scaled up (as recommended by the Advisory Council on Economic Growth). Build real links between companies and research schools: Large companies could partner with universities and vocational schools to provide equipment, facilities and expertise to prepare students for AI.


Canada has a chance to monopolize the artificial intelligence industry

#artificialintelligence

Commit to building the world's best AI ecosystem: The winning AI cluster will create many high-paying jobs and create spillover effects for the middle class – but the also-rans will not. Create at-scale AI training programs: Industry can form coalitions to collect data, oversee curriculum development and rapidly retrain workers in the skills needed to succeed in nascent AI applications. Launch innovative new training models: The government could launch and fund a "venture capital lab" to create innovative training programs, so new training ideas can be tested, validated and scaled up (as recommended by the Advisory Council on Economic Growth). Build real links between companies and research schools: Large companies could partner with universities and vocational schools to provide equipment, facilities and expertise to prepare students for AI.


Machine Learning Goes Viral In Oil Patch

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Using historical data from compressors with maintenance problems, the software pinpointed patterns and put online a system to inform the operator when there would be problems, Beck said. The technology has been used by a large oil and gas company to gain insight about the drillbit downhole. That's where column analytics--software tools that meld predictive models with collected data--come into play. Looking at the investor presentation slide decks of some of industry's large independents and integrated oil companies, Beck said companies are talking about how they are using data analytics to improve efficiency in the oil field, including in the Permian Basin.


Some Image and Video Processing: Motion Estimation with Block-Matching in Videos, Noisy and Motion-blurred Image Restoration with Inverse Filter in Python and OpenCV

@machinelearnbot

The following figure shows how the quality of the transformed image decreases when compared to the original image, when an nxn LPF is applied and how the quality (measured in terms of PSNR) degrades as n (LPF kernel width) increases. As we go on increasing the kernel size, the quality fo the final image obtained by down/up sampling the original image decreases as n increases, as shown in the following figure. The first one is the video of some students working on a university corridor, as shown below (obtained from youtube), extract some consecutive frames, mark a face in one image and use that image to mark all thew faces om the remaining frames that are consecutive to each other, thereby mark the entire video and estimate the motion using the simple block matching technique only. The following figure shows the frame with the face marked, now we shall use this image and block matching technique to estimate the motion of the student in the video, by marking his face in all the consecutive frames and reconstructing the video, as shown below.. As can be seen from the following figure, the optimal median filter size is 5 5, which generates the highest quality output, when compared to the original image.


GE mixing drones and artificial intelligence in Niskayuna

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In a picnic area at General Electric Co.'s Global Research Center, a group of scientists and engineers are working on a new industrial revolution that will involve robots, drones and artificial intelligence. On Tuesday, a team supervised by John Lizzi, director of robotics at GE Global Research, and Judy Guzzo, a project leader, were performing drone testing on a simulated oil rig flare stack. And GE's software creates so-called digital twins of industrial equipment that can predict when the actual equipment will break down or need servicing. The technology is currently being targeted for customers of GE's oil and gas business.


What is Cognitive Computing? Features, Scope & Limitations

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It should understand human input and provide relevant results using natural language processing and deep learning. The solution bases recommendations on its ability to interpret the meaning and analyze queries in the context of complex medical data and natural language, including doctors' notes, patient records, medical annotations and clinical feedback. Let's take a look at the prominent players in this market – Originally Watson is an IBM supercomputer that combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine famously featured in show'Jeopardy'. Now it uses a set of transformational technologies such as natural language processing, image recognition, text analytics and virtual agents.


How to build a highly effective AI team

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"In our experience, we found that an AI group needs at least three distinct roles: a data engineer to organize the data, a data scientist to investigate the data and a software engineer to implement applications." "In our approach to AI, we currently see three parts: generating information, interpreting information and making judgment about that information," says Martin Fiore, EY Americas tax talent leader. In the past year, EY has hired over 20 professionals focused on automation and AI. "In my view, AI is the new UI," explains Elliott Yama, assistant vice president of machine learning at software provider Apttus.


How Businesses Are Using Artificial Intelligence - ForeverMogul

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In other words, their artificial intelligence program pays for itself in less than 18 months. Expedia's artificial intelligence program helps users to find the cheapest rates for hotels and flights worldwide. AutoTrader uses a machine learning artificial intelligence program to improve their car valuations. Chief Digital Officer Marc Florette says that timely detection of a crack in a high-pressure gas pipeline can save the company millions of dollars.


GE Ventures Launches Data-Driven Company to Advance Industry Inspection Services

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BERLIN--(BUSINESS WIRE)--Today at GE's Minds Machines Europe event, GE Ventures (NYSE:GE) announced the launch of Avitas Systems, a new company that will use predictive data analytics, robotics, and artificial intelligence to deliver advanced inspection services to the oil and gas, transportation, and energy industries. By reducing high-risk tasks through robotics, Avitas Systems can make inspection processes safer and more efficient through data automation, decreasing costs by up to 25%. The company can be found online at http://www.avitas-systems.com/ Avitas Systems is a GE Venture advancing the inspection services industry across oil and gas, transportation, and energy sectors through predictive data analytics, robotics, and artificial intelligence. Its solutions increase safety and decrease inspection costs by providing state-of-the-art robotic-based autonomous and semi-autonomous inspection management, smart scheduling, and a cloud-based platform that analyzes and stores comprehensive inspection data.