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Deep Learning/Machine Learning Technical Interest Group (TIG)
Applying new analytics, neural networks, computational approaches using structured and unstructured data, and also training neural networks with supervised and unsupervised algorithms. Chaired by Patrick Ng and Andrew Munoz.
Deep Learning - Machine Learning TIG
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Read This First!
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Bogdan Michka
Welcome to AAPG N.E.T., an online space where you can Network, Engage and Talk. Please complete the following steps before you begin interacting with the discussion boards: 1. Take time to review your profile and privacy settings, paying attention to your display name and photo, as they will be used to identify your posts. 2. Read the Discussion Boards FAQ page to learn the rules and get familiar with the features: http://www.aapg.org/career/aapg-net/discussion-boards-faq — pa...
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09 May 2017 03:37 PM
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The Ethics of AI Development and Addressing Cognitive Bias in Data
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Patrick Ng
In the rapidly evolving landscape of AI and Large Language Models (LLMs), a significant challenge is recognizing data bias and mitigating its influence across the entire value chain. There is indeed one upcoming event hosted by Oil & Gas IQ. https://www.oilandgasiq.com/events-opexinoilandgasutm_source=LinkedIn&utm_medium=Social&utm_campaign=19378.015_OPEXOG_Speaker_Marketing&utm_term=&utm_content=&disc=&extTreatId=7604127 Mark your calendar and register if you can. Interactive Dis...
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23 Oct 2024 08:39 PM
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Maximize LLM throughput - reminiscence of Sign-bit data processing
174
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Started by
Patrick Ng
Bits and Pieces history - recall IBM-360 / 370 mainframe used to process seismic data had 16-bit; not until IBM-390, we could finally handle full 32-bit floating-point data. For true amplitudes and amplitude-versus-offset analysis to infer rock properties, that is a must. LLM quantization v sign-bit* processing Comp - Can't help to make the following comparison when it comes to the number of bits to make LLM run faster and cheaper today, just as seismic data pr...
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26 Aug 2024 01:27 PM
0 Replies and 158 Views
Geothermal Energy Renaissance - Fact or Fiction?
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Started by
Patrick Ng
In the June 2024 issue of AAPG Explorer, the article 'Could There Be a Geothermal Energy Renaissance in the United States' and in particular, its closing remarks resonated deeply with me: “The current geothermal energy renaissance in the United States might only reach its full potential if energy professionals, regulators, legislators, and stakeholders collaborate to overcome the challenges facing geothermal energy.” https://explorer.aapg.org/story/articleid/67289/could-there-be-a-geothermal...
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23 Aug 2024 01:43 PM
0 Replies and 409 Views
Gen AI Experiment on Geothermal
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Started by
Patrick Ng
We often ponder if an idea can make a play early in the exploration cycle. Often it is not just geology but the legal framework regarding surface ownership and mineral right that can determine the outcome - one off or at scale. So what if we can ask Gen AI and start crystalizing idea from there Here is a post with short video to illustrate just that possibility. https://www.shaleforce.com/blog/gen-ai-experiment-on-geothermal-exploration-and-development Feel free to share your own...
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02 Mar 2024 12:08 AM
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See Also: Explorer Geophysical Corner
How Humans and Computers Can Distinguish Seismic Facies
See Also: Industry Meeting
Modeling Subsurface Carbon Storage and More at 2023 MathWorks Energy Symposium
See Also: Learn! Blog
Interview with Naser Tamimi, NeuDax
See Also: Program Session
Success with Difficult Unconventionals Day 2 Session 5
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Breakthroughs in the Permian: What Works and Why?
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