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Artificial Intelligence In Genomics Market 2028 By Offering, Technology, Functionality, Application, End-User and Geography

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Your data will never be shared with third parties, however, we may send you information from time to time about our products that may be of interest to you. By submitting your details, you agree to be contacted by us. You may contact us at any time to opt-out. Artificial Intelligence in Retail Market to 2025 - Global Analysis and Forecasts by Retail Format (E-Commerce and, Brick & Mortar), Technology (Chat-B.. Artificial Lift System Market Forecast to 2028 - Covid-19 Impact and Global Analysis - by Type (Progressive Cavity Pumping (PCP), Rod Lift, Gas Lift,..


How Artificial Intelligence Will Improve Future Production Work – Metrology and Quality News - Online Magazine

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In the production work of the future, autonomous systems will support people through data-based analyzes and intelligent solution patterns for value-adding activities. Experts from the two Fraunhofer institutes IPA and IAO in Stuttgart will show their guests at the "International Open Lab Day" on April 16, 2021 the benefits that artificial intelligence (AI) can bring. In the future, AI could identify potential for optimization, make fitters' work easier or set up personnel deployment plans: These are just a few examples of how AI can help make production more resilient and flexible. However, this does not mean that the human being becomes an assistant to the algorithms, but remains the director of the processes, works efficiently in an adaptive environment and no longer has to take on so many control tasks. Digital technologies help to make production work more human-centered.


Fighting Climate Change With Big Data: Clir And SINAI Technologies

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When you think about solving the climate crisis, what springs to mind? Most people's knee-jerk reaction is along the lines of "electrification," "carbon sequestration," "recycling," or "renewable agriculture." While not many think of phrases like "big data" or "artificial intelligence," several recent conversations have convinced me how important these fields are to helping our civilization thrive and survive into the next century. The two founder / CEOs with whom I have had the pleasure to speak recently use AI in very different ways and in completely different fields, but it is clear that the ubiquity of cheap computing power, combined with smart engineers and focused, visionary entrepreneurs represents a formidable force in helping us mitigate and adapt to today's harsher, more challenging post-climate world. The companies featured in this article are Clir and SINAI Technologies.


Getting Industrial About The Hybrid Computing And AI Revolution

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For oil and gas companies looking at drilling wells in a new field, the issue becomes one of return vs. cost. The goal is simple enough: install the fewest number of wells that will draw them the most oil or gas from the underground reservoirs for the longest amount of time. The more wells installed, the higher the cost and the larger the impact on the environment. However, finding the right well placements quickly becomes a highly complex math problem. Too few wells sited in the wrong places leaves a lot of resources in the ground.


ABS Verifies SBM Offshore's AI-Powered Mooring Solution

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ABS has issued New Technology Qualification (NTQ) to SBM Offshore's artificial intelligence (AI) powered Intelligent Agent Mooring Line Integrity Tool, allowing the technology to be integrated into offshore systems for the first time. The novel tool collects data such as wind speed, FPSO heading, and GPS information and couples this with machine learning approaches to provide the asset owner with continuous feedback on the integrity of their mooring system. The tool has the ability to detect potential mooring line failure and location without reliance on a traditional tension monitoring system, thanks to the potential for deeper insight offered by AI techniques. "This technology enables the continuous monitoring of the integrity of mooring lines and has significant potential to advance safety in the offshore industry. This is just the latest example of how ABS is supporting the application of advanced technology to drive forward safety outcomes in the marine and offshore industries. Our industry leadership in offshore, as well as smart and artificial intelligence applications at sea means we are uniquely placed to support SBM Offshore with the development of this tool," said Matt Tremblay, ABS Senior Vice President, Global Offshore.


How artificial intelligence is transforming the oil and gas industry

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Every industry faces operational challenges on an everyday basis, whether it is due to machine downtime or equipment failure. However, the latest advents in technology like artificial intelligence; IoT, etc. help industries to tackle such challenges efficiently. After witnessing this, the oil and gas industry has finally started the integration of these technologies in its operations. There are various applications of artificial intelligence for different industries. Out of which, the main applications of AI for the oil and gas industry are machine learning (ML) and data science.


Artificial Intelligence Is Improving Energy Companies -- Not Replacing Workers

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Abbreviation is Artificial Intelligence on a digital globe background. A power plant that will run on "artificial intelligence" is about to get underway in West Africa. The joint venture between Swiss-based Xcell Security House and Finance and U.S.-based Beyond Limits will embed intelligence and awareness into the operations -- something that will create more efficiencies, greater productivity, and increased environmental protections. When ordinary people hear about artificial intelligence -- AI for short -- they immediately think about how machines will replace humans. But as the experts explained to this reporter, AI is meant to eliminate "mundane activities" so that those running heavy industrial operations can solve problems and improve performance, which translates into healthier bottom lines.


Artificial Intelligence Is Improving Energy Companies -- Not Replacing Workers

#artificialintelligence

Abbreviation is Artificial Intelligence on a digital globe background. A power plant that will run on "artificial intelligence" is about to get underway in West Africa. The joint venture between Swiss-based Xcell Security House and Finance and U.S.-based Beyond Limits will embed intelligence and awareness into the operations -- something that will create more efficiencies, greater productivity, and increased environmental protections. When ordinary people hear about artificial intelligence -- AI for short -- they immediately think about how machines will replace humans. But as the experts explained to this reporter, AI is meant to eliminate "mundane activities" so that those running heavy industrial operations can solve problems and improve performance, which translates into healthier bottom lines.


A Hybrid AI Approach to Optimizing Oil Field Planning

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What's the best way to arrange wells in an oil or gas field? It's a simple enough question, but the answer can be very complex. Now a Cal Tech/JPL spinoff is developing a new approach that blends traditional HPC simulation with deep reinforcement learning running on GPUs to optimize energy extraction. The well placement game is a familiar one to oil and gas companies. For years, they have been using simulators running atop HPC systems to model underground reservoirs.


Rithmik Closes US$1.2M to Commercialize "AI-First" Mobile Mining Analytics

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MONTREAL and VANCOUVER, British Columbia, July 08, 2021 (GLOBE NEWSWIRE) -- Rithmik Solutions, whose mission is building the world's most advanced and reliable analytics for mobile mining equipment, today announced the closing of a US$1.2M investment led by Chrysalix Venture Capital and joined by Fonds Ecofuel. The funding will accelerate the commercialization of the company's flagship product, Rithmik Asset Health Analyzer (AHA), which has been in development for the past three years and is currently undergoing real-time onsite trials in Alberta, Quebec and Zambia. Rithmik AHA applies a multi-tiered machine learning approach to increase mobile equipment uptime while reducing maintenance costs and lowering greenhouse gas emissions. Mining companies typically spend anywhere from 20%-50% of their annual operating budgets on equipment maintenance, and lost production from unplanned downtime has an even bigger financial impact. "We were impressed by the Rithmik team's deep technical experience in the space of mobile mining equipment data, across equipment types and OEM brands, and that experience has strongly resonated with their early customers," said Alicia Lenis, Vice President at Chrysalix Venture Capital, an industrial innovation fund.