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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0 Replies and 1080 Views Read This First!      1080  0 Started by  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
0 Replies and 54 Views Maximize LLM throughput - reminiscence of Sign-bit data processing  54  0 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 processi...
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26 Aug 2024 01:27 PM
0 Replies and 56 Views Geothermal Energy Renaissance - Fact or Fiction?  56  0 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 299 Views Gen AI Experiment on Geothermal  299  0 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
0 Replies and 273 Views Gen AI working on Map  273  0 Started by  Patrick Ng AAPG Webinar on upcycling wells for geothermal in Oklahoma opens new play ideas. (Hey if geothermal can work in OK, it has got to work in TX, right) Video recording (courtesy of Susan Nash) https://www.youtube.com/watchv=VjPezOAQcu0 What if we can use AI to look at a map (image) and generate ideas on where to play Here is one exercise using Google Gen AI (from workshop today). https://www.linkedin.com/pulse/gen-ai-getting-closer-geothermal-explorer-patrick-ng-acrjf Q: how many ...
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13 Dec 2023 09:40 PM
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