Google has several geospatial foundation models as shared in their Geospatial Reasoning Interest Form. For anyone curious about the links to each of the models, check under this thread

ML in Agriculture & intersection with geospatial technologies
- Smart Agriculture/precision farming
- credit risk analysis & financing
-information provision through chatbots

These are just but some of the applications of ML in agriculture

What do each of these terms entail?

Google released its Data Science Agent in Colab recently and I tried it out and here’s
the review

Find the notebook link below and the dataset used is from Kaggle Titanic challenge

ML in geospatial technologies.
ML have revolutionized various industries & the geospatial industry is one that has gained immensely & will continue to

Think of mapping of various features from EO where satellites are continuously taking images of the earth thus updated data

We recently published an open source dataset of building footprints and height estimations for the Global South. It covers ~2 billion buildings and 8 years of data derived from Sentinel 2 imagery.

Blog: shorturl.at/S8ejc
Paper: arxiv.org/abs/2310.11622
Dataset: shorturl.at/FHuQE

I keep forgetting that bluesky exists

This is also on Twitter: HourVideo by Stanford a new benchmark dataset for evaluating AI's ability to understand hour-long videos.

My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch.

fleuret.org/dlc/

And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)

fleuret.org/lbdl/

TL;DR gradient descent!

From fleuret.org/dlc/material...

The Segment Anything in Lidar (SAL) project, led by Laura Leal-Taixé and her team at NVIDIA, focuses on open-world segmentation and tracking in 3D data, particularly in dynamic real-world scenarios.
SAL is designed as a zero-shot model for segmenting

tidbitsgeospatial.wordpress.com/2024/11/18/b...

The following is a list of academics, experts, researchers, and scholars. We call them experts because they have devoted their entire lives to their topics, often at great cost to the other parts of their lives. Listen to them! Thank them! They save lives. They are our Library of Alexandria.

Now this is what I’m talking about. I love it 🤎🤎

I will try to move by coping my Geospatial, AI & Computer vision posts from my spatial tidbits Twitter page onto here. I at times forget that I’m here as well as on Twitter

go.bsky.app/6ygKGHe

Created this as well as a GeoAI list for geospatial people using AI

bsky.app/profile/did:...
For the people migrating from twitter, curating who to follow is daunting.

Created my account on Saturday, did a keywords search & left as I coundn't find anyone or anything on CV, CVPR, LLMs, Geospatial & GeoAI.

Hopefully this helps anyone with similar interest

The geospatial side: maps & GIS

go.bsky.app/222AVDQ

Welcome to all new arrivals here on Bluesky! :) Here's a starter pack of people working on computer vision.
go.bsky.app/PkAKJu5

The computer vision community on bluesky for anyone like me from twitter. Still refuse yo call it X

go.bsky.app/PkAKJu5

Where’s the tech side of blue sky?
Andrej, Altman, Amodei(s)?