2020 Fast Approaching! – Friday Faves

Aaaand it’s gone. It’s starting out with one of my new projects and then a very nice wrap up of some cutting edge AI developments. Some Self Promotion! I started a Youtube series on learning machine learning for scientists. This is the first video in the series: Henry AI Labs’ Rewind A very insightful video […]

Machine Learning for Science – A Youtube Series

I’m starting a new project, where I take concepts from machine learning for science and do a short and focused deep dive into that topic. Why? I think modern data science and machine learning techniques, as well as, experiment design and systems thinking can benefit a wide range of scientists. I appreciate professors uploading their […]

Seismic I/O, Open Source, and Deep Double Descent – Friday Faves

This week in our Friday Faves, we have a new Python package for seismic compression and input/output, a conversation on the merits and caveats of open source and the confirmation that more data sometimes hurts machine learning models. Seismic Compression and I/O Equinor anounced the Python version of a compression algorithm for seismic data that […]

TF2, Physics in GCNs and Aftershocks – Friday Faves

In this week’s Friday Faves, we have Tensorflow 2 dropping and a beautiful bonus, next level physics-based ML, and a problem with a Harvard deep learning paper. Tensorflow 2 for Researchers Tensorflow 2.0 dropped this week and it has Eager Execution (read “normal behaviour”) per default and the Keras API per default. If you’re familiar […]

GIS, Fossils and Loads of Data – Friday Faves

This week, we have loads of geoscience-y favourites. Between great Jupyter widgets, augmented reality and a huge new dataset to play with, in the Friday Faves. Geoscience and Python Martin Renou gave a fantastic talk about Jupyter Voila at EuroScipy. He tweeted out their newest developments in iPyLeaflet, which brings GIS capabilities to Jupyter. Once […]

A Week in Tech Heaven – Googling in San Francisco [1/3]

So am I understanding this correct: You are here for a $1600 conference. And it’s not for work. This is your free time? Yes. I recently travelled to San Francisco to attend the Google Next conference. Clearly neither a scientific conference nor related to geophysics. And also clearly, the immigration officer was not particularly on […]

Keynote Bonanza and No Coffee – The EAGE / PESGB ML Workshop

Last month EAGE and PESGB organized the first machine learning workshop in geoscience in Europe. Clearly, I had every intention of going. And obviously, I met many of my favourite co-conspirators there, when I did. The workshop was divided between a day of keynotes and a day of technical talks. The keynotes accompanied the PETEX […]

Cheaper Deep Learning by Transfer Learning Cats to Seismic [SEG Conference 2018]

This years SEG I got the opportunity to present some of my work on transfer learning. In automatic seismic interpretation, progress is preceived as incremental already, although the field has only been established fairly recently. It was shown with new deep neural networks, usually convolutional neural networks, that reproducing human seismic interpretation is possible. This […]