She snores a lot.

Nostalgische Bahngeräusche

https://www.oglaf.com/additions/

cross-posted from: https://lemmy.world/post/22266569

Looking for Mentor (for a PhD Candidate) that works with open source and Rust

TLDR: Searching for person holding professor position to officially act as a committee member on a US PhD defense

Hi all,

I'm in a non CS field. I'm doing PhD in hydrology and I'm good at Geospatial Analysis, data analysis, visualization, modeling and such. I really like programming and have been making open source programs, contributing to open source programs and such. And have been learning rust for last 2 years.

For my PhD dissertation I'm doing a project where I'll be using Rust to make a program with compiled plugin system that can do generalized river related tasks including data analysis and visualization. I have professors in GIS and hydrology to guide those aspects, but I don't have anyone on software side to ask questions, or to look at my work. I tried emailing some people I have seen with open source projects on GIS+rust, but no response.

I'm ideally looking for someone that holds a professor position for my committee who is good with either rust, GIS related algorithms development, and programming languages. However, it woud also be helpful to just have someone woth knowledge about such things. In either scenario, credit and authorship will be given.

I appreciate any response even telling where i could find someone matching the above description. :)

Edit: I can also provide my previous projects in GitHub, websites and such before you decide in messages.

November 19, 2024

MastCam-Z full zoom (110 mm) - Roughly processed - Contrast stretched. Normally I'd be sighing about the increased level of atmospheric dust we're seeing recently, but in this case it sort of improves the image.

I reckon Ansel Adams would have been happy with this shot.

NASA/JPL-Caltech/ASU/MSSS

Niantic, the company behind the extremely popular augmented reality mobile games Pokémon Go and Ingress, announced that it is using data collected by its millions of players to create an AI model that can navigate the physical world. 

In a blog post published last week, first spotted by Garbage Day, Niantic says it is building a “Large Geospatial Model.” This name, the company explains, is a direct reference to Large Language Models (LLMs) Like OpenAI’s GPT, which are trained on vast quantities of text scraped from the internet in order to process and produce natural language. Niantic explains that a Large Geospatial Model, or LGM, aims to do the same for the physical world, a technology it says “will enable computers not only to perceive and understand physical spaces, but also to interact with them in new ways, forming a critical component of AR glasses and fields beyond, including robotics, content creation and autonomous systems. As we move from phones to wearable technology linked to the real world, spatial intelligence will become the world’s future operating system.”

By training an AI model on millions of geolocated images from around the world, the model will be able to predict its immediate environment in the same way an LLM is able to produce coherent and convincing sentences by statistically determining what word is likely to follow another.

https://www.nytimes.com/games/connections