AI/machine learning
The Energy and AI Observatory aims to use up-to-date information on energy demand from data centers to determine how artificial intelligence is optimizing the energy sector.
This article is the third in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Zikri Bayraktar, a senior machine learning engineer with SLB’s Software Technology and Innovation Center, discusses the expanding use of artificial intelligence in the upstream sector.
This article presents a results-driven case study from an ongoing collaboration between a midstream oil and gas company and Neuralix Inc.
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Microsoft announced that it will open an AI Center of Excellence for Energy in the United Arab Emirates—a global first for the company—to empower organizations in the industry in accelerating digital transformation and equipping their workforce with AI skills. -
Neural networks that borrow strategies from biology are making profound leaps in their abilities. Is ignoring a goal the best way to make truly intelligent machines?
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Just because they both deal with data does not mean they are the same.
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Sensors, robots, and artificial intelligence have made their way into a number of areas within the industry, including pipeline inspections. Shell has begun to examine the innovative technologies that could shift the inspection paradigm.
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Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet, with change coming at breakneck speed, the time to identify your company’s AI strategy is now.
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When Google claimed quantum supremacy, IBM challenged it. Nonetheless, the development is really important for the future of artificial intelligence.
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The sixth annual Deep Learning Summit in London saw industry leaders, academics, researchers, and innovative startups present the latest technological advancements and industry application methods in the field of deep learning.
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Deep learning is good at finding patterns in reams of data but can't explain how they're connected. Turing Award winner Yoshua Bengio wants to change that.
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The controller from Olis will be distributed and supported by iCsys and is expected to increase efficiency and decease costs.
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YPF’s data analytics experts are eagerly seeking partnerships with oilfield operations experts who can help blend elegant data analysis with the messy reality of oil production.
