corpus.blog
41554 blogs · [ { "id": "01a087c7-4d08-720f-81b6-186eaec690d6", "title": "AI in Geophysics: Past, Present, and Predicted Future", "url": "https://posgeo.wordpress.com/2026/08/02/ai-in-geophysics-past-present-and-predicted-future/", "published_at": "2026-08-02T07:00:57+00:00" }, { "id": "01a087c7-4d1a-7241-9ac8-d5e2db6a61a4", "title": "Using NeuralOperator for Geophysical Surrogate Modeling", "url": "https://posgeo.wordpress.com/2026/02/13/using-neuraloperator-for-geophysical-surrogate-modeling/", "published_at": "2026-02-13T20:28:50+00:00" }, { "id": "01a087c7-4d1a-7241-9ac8-d5e2dbe23273", "title": "AI in Mineral Exploration: 2025 in Review", "url": "https://posgeo.wordpress.com/2026/01/12/ai-in-mineral-exploration-2025-in-review/", "published_at": "2026-01-12T21:19:19+00:00" }, { "id": "01a087c7-4d1b-7268-86b0-af92b2c0d3a1", "title": "LLMs, Partial Evaluation, and the Three Futamura Projections", "url": "https://posgeo.wordpress.com/2025/12/02/llms-partial-evaluation-and-the-three-futamura-projections/", "published_at": "2025-12-02T17:35:20+00:00" }, { "id": "01a087c7-4d1b-7268-86b0-af92b36da4c3", "title": "Can an LLM be a Black-Box Optimizer?", "url": "https://posgeo.wordpress.com/2025/10/10/can-an-llm-be-a-black-box-optimizer/", "published_at": "2025-10-10T20:04:09+00:00" }, { "id": "01a087c7-4d1b-7268-86b0-af92b3d0c56c", "title": "Hacking with GPT-5: Generating Beautiful Diagrams at the OpenAI Hackathon", "url": "https://posgeo.wordpress.com/2025/08/14/hacking-with-gpt-5-generating-beautiful-diagrams-at-the-openai-hackathon/", "published_at": "2025-08-14T18:48:26+00:00" }, { "id": "01a087c7-4d1b-7268-86b0-af92b4b73be4", "title": "Hacking Non-Stationary Gaussian Processes", "url": "https://posgeo.wordpress.com/2025/03/25/hacking-non-stationary-gaussian-processes/", "published_at": "2025-03-25T17:21:46+00:00" }, { "id": "01a087c7-4d1b-7268-86b0-af92b517b241", "title": "“A Cliché Title” Is All You Need", "url": "https://posgeo.wordpress.com/2025/01/23/a-cliche-title-is-all-you-need/", "published_at": "2025-01-23T17:29:32+00:00" }, { "id": "01a087c7-4d1b-7268-86b0-af92b5ea6cac", "title": "Full matrix distances for Gaussian Process kernels", "url": "https://posgeo.wordpress.com/2024/12/05/full-matrix-distances-for-gaussian-process-kernels/", "published_at": "2024-12-05T19:10:07+00:00" }, { "id": "01a087c7-4d1b-7268-86b0-af92b65d80e5", "title": "Advent of Code in Julia v0.1", "url": "https://posgeo.wordpress.com/2024/12/01/advent-of-code-in-julia-v0-1/", "published_at": "2024-12-01T22:39:54+00:00" }, { "id": "01a0bdee-510d-720f-a770-b3867faf58da", "title": "Visualizing Deep Flows in the Earth", "url": "https://posgeo.wordpress.com/2023/11/20/visualizing-deep-flows-in-the-earth/", "published_at": "2023-11-20T19:26:20+00:00" }, { "id": "01a0bdee-510d-720f-a770-b3867fb87e85", "title": "Puzzles, graph algorithms, and backtracking!", "url": "https://posgeo.wordpress.com/2023/10/03/puzzles-graph-algorithms-and-backtracking/", "published_at": "2023-10-03T15:54:33+00:00" }, { "id": "01a0bdee-510d-720f-a770-b386800567d0", "title": "Knowledge Graphs for Seismic Data and Metadata", "url": "https://posgeo.wordpress.com/2023/08/31/knowledge-graphs-for-seismic-data-and-metadata/", "published_at": "2023-08-31T21:16:17+00:00" }, { "id": "01a0bdee-510d-720f-a770-b386806eb9f9", "title": "Stochastic Processes and Big Data", "url": "https://posgeo.wordpress.com/2023/08/02/stochastic-processes-and-big-data/", "published_at": "2023-08-02T21:02:40+00:00" }, { "id": "01a0bdee-510d-720f-a770-b38681386944", "title": "Inversion Methods for Stochastic Differential Equations", "url": "https://posgeo.wordpress.com/2023/06/08/inversion-methods-for-stochastic-differential-equations/", "published_at": "2023-06-08T16:12:09+00:00" }, { "id": "01a0bdee-510d-720f-a770-b38681be3903", "title": "Derivatives for Scientific Computing", "url": "https://posgeo.wordpress.com/2023/06/01/derivatives-for-scientific-computing/", "published_at": "2023-06-01T15:24:38+00:00" }, { "id": "01a0bdee-510d-720f-a770-b386822e0b46", "title": "Estimating stochastic models from time-series data", "url": "https://posgeo.wordpress.com/2023/05/26/estimating-stochastic-models-from-time-series-data/", "published_at": "2023-05-26T19:36:57+00:00" }, { "id": "01a0bdee-510d-720f-a770-b38682e973f8", "title": "X is the new Y", "url": "https://posgeo.wordpress.com/2023/01/03/x-is-the-new-y/", "published_at": "2023-01-04T01:29:11+00:00" }, { "id": "01a0bdee-510d-720f-a770-b3868399ef72", "title": "A Polynomial Puzzle!", "url": "https://posgeo.wordpress.com/2022/11/29/a-polynomial-puzzle/", "published_at": "2022-11-29T19:18:14+00:00" }, { "id": "01a0bdee-510d-720f-a770-b3868423e950", "title": "Internship at RelationalAI: Knowledge Graphs and Earthquake Data", "url": "https://posgeo.wordpress.com/2022/11/14/internship-at-relationalai-knowledge-graphs-and-earthquake-data/", "published_at": "2022-11-14T22:39:40+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554e7c2a4b4", "title": "Optical mineralogy and color vision deficiencies", "url": "https://posgeo.wordpress.com/2022/10/10/optical-mineralogy-and-color-vision-deficiencies/", "published_at": "2022-10-10T23:46:16+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554e8093106", "title": "How to cheat at Wordle with Python", "url": "https://posgeo.wordpress.com/2022/01/21/how-to-cheat-at-wordle-with-python/", "published_at": "2022-01-21T19:24:53+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554e8ec41d9", "title": "Where do Neural Networks go?", "url": "https://posgeo.wordpress.com/2021/12/17/where-do-neural-networks-go/", "published_at": "2021-12-18T00:09:34+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554e98d403d", "title": "Why is the geodynamo so complicated?", "url": "https://posgeo.wordpress.com/2021/12/01/why-is-the-geodynamo-so-complicated/", "published_at": "2021-12-02T03:55:38+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554ea791100", "title": "Estimating stochastic processes from data", "url": "https://posgeo.wordpress.com/2021/10/12/estimating-stochastic-processes-from-data/", "published_at": "2021-10-12T23:24:36+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554eb72d980", "title": "Reversals and low ADM observations", "url": "https://posgeo.wordpress.com/2021/07/25/reversals-and-low-adm-observations/", "published_at": "2021-07-25T23:57:37+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554ebbb1c17", "title": "Interactive visualisation in computing", "url": "https://posgeo.wordpress.com/2021/06/04/interactive-visualisation-in-computing/", "published_at": "2021-06-04T19:55:56+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554ec2d680f", "title": "Speeding up calculations in Pandas", "url": "https://posgeo.wordpress.com/2021/05/20/speeding-up-calculations-in-pandas/", "published_at": "2021-05-20T20:16:59+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554ed216708", "title": "Assessing earthquake damage with Google Street View", "url": "https://posgeo.wordpress.com/2021/05/05/assessing-earthquake-damage-with-google-street-view/", "published_at": "2021-05-05T23:53:32+00:00" }, { "id": "01a0bdff-da4e-70da-8871-d554ed314f98", "title": "Exploring synchronisation", "url": "https://posgeo.wordpress.com/2021/04/26/exploring-synchronisation/", "published_at": "2021-04-27T02:40:44+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a3dd0282e", "title": "When averaging goes wrong", "url": "https://posgeo.wordpress.com/2021/02/06/when-averaging-goes-wrong/", "published_at": "2021-02-07T05:07:05+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a3e9ee406", "title": "Experiments with viscosity", "url": "https://posgeo.wordpress.com/2021/01/07/experiments-with-viscosity/", "published_at": "2021-01-07T19:30:03+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a3f25bc0e", "title": "Solving diffusion problems", "url": "https://posgeo.wordpress.com/2020/10/26/solving-diffusion-problems/", "published_at": "2020-10-27T00:49:09+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a3f84e152", "title": "My first web application", "url": "https://posgeo.wordpress.com/2020/09/17/my-first-web-application/", "published_at": "2020-09-17T19:29:35+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a4074b505", "title": "Linear algebra in Python", "url": "https://posgeo.wordpress.com/2020/09/10/linear-algebra-in-python/", "published_at": "2020-09-10T23:25:15+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a4088d213", "title": "Revisiting continental deformation", "url": "https://posgeo.wordpress.com/2020/07/21/revisiting-continental-deformation/", "published_at": "2020-07-21T19:28:56+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a41864ad7", "title": "Solving geological problems with machine learning", "url": "https://posgeo.wordpress.com/2020/07/09/solving-geological-problems-with-machine-learning/", "published_at": "2020-07-09T23:54:32+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a41ec7008", "title": "Live-plotting in Julia", "url": "https://posgeo.wordpress.com/2020/04/03/live-plotting-in-julia/", "published_at": "2020-04-03T23:55:35+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a42d72b02", "title": "What is ¾ plus ¼?", "url": "https://posgeo.wordpress.com/2020/03/29/what-is-%c2%be-plus-%c2%bc/", "published_at": "2020-03-30T02:11:52+00:00" }, { "id": "01a0be08-6aa7-7097-a7e8-978a43223d90", "title": "Bootstrapping climate records", "url": "https://posgeo.wordpress.com/2020/03/24/how-to-answer-a-scientific-question/", "published_at": "2020-03-24T21:51:44+00:00" } ] posts Claim your blog
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posgeo.wordpress.com

2026

AI in Geophysics: Past, Present, and Predicted Futureoriginal ↗
2 Aug 2026
Using NeuralOperator for Geophysical Surrogate Modelingoriginal ↗
13 Feb 2026
AI in Mineral Exploration: 2025 in Revieworiginal ↗
12 Jan 2026

2025

LLMs, Partial Evaluation, and the Three Futamura Projectionsoriginal ↗
2 Dec 2025
Can an LLM be a Black-Box Optimizer?original ↗
10 Oct 2025
Hacking with GPT-5: Generating Beautiful Diagrams at the OpenAI Hackathonoriginal ↗
14 Aug 2025
Hacking Non-Stationary Gaussian Processesoriginal ↗
25 Mar 2025
“A Cliché Title” Is All You Needoriginal ↗
23 Jan 2025

2024

Full matrix distances for Gaussian Process kernelsoriginal ↗
5 Dec 2024
Advent of Code in Julia v0.1original ↗
1 Dec 2024

2023

Visualizing Deep Flows in the Earthoriginal ↗
20 Nov 2023
Puzzles, graph algorithms, and backtracking!original ↗
3 Oct 2023
Knowledge Graphs for Seismic Data and Metadataoriginal ↗
31 Aug 2023
Stochastic Processes and Big Dataoriginal ↗
2 Aug 2023
Inversion Methods for Stochastic Differential Equationsoriginal ↗
8 Jun 2023
Derivatives for Scientific Computingoriginal ↗
1 Jun 2023
Estimating stochastic models from time-series dataoriginal ↗
26 May 2023
X is the new Yoriginal ↗
4 Jan 2023

2022

A Polynomial Puzzle!original ↗
29 Nov 2022
Internship at RelationalAI: Knowledge Graphs and Earthquake Dataoriginal ↗
14 Nov 2022
Optical mineralogy and color vision deficienciesoriginal ↗
10 Oct 2022
How to cheat at Wordle with Pythonoriginal ↗
21 Jan 2022

2021

Where do Neural Networks go?original ↗
18 Dec 2021
Why is the geodynamo so complicated?original ↗
2 Dec 2021
Estimating stochastic processes from dataoriginal ↗
12 Oct 2021
Reversals and low ADM observationsoriginal ↗
25 Jul 2021
Interactive visualisation in computingoriginal ↗
4 Jun 2021
Speeding up calculations in Pandasoriginal ↗
20 May 2021
Assessing earthquake damage with Google Street Vieworiginal ↗
5 May 2021
Exploring synchronisationoriginal ↗
27 Apr 2021
When averaging goes wrongoriginal ↗
7 Feb 2021
Experiments with viscosityoriginal ↗
7 Jan 2021

2020

Solving diffusion problemsoriginal ↗
27 Oct 2020
My first web applicationoriginal ↗
17 Sept 2020
Linear algebra in Pythonoriginal ↗
10 Sept 2020
Revisiting continental deformationoriginal ↗
21 Jul 2020
Solving geological problems with machine learningoriginal ↗
9 Jul 2020
Live-plotting in Juliaoriginal ↗
3 Apr 2020
What is ¾ plus ¼?original ↗
30 Mar 2020
Bootstrapping climate recordsoriginal ↗
24 Mar 2020