24 August articles about Data Science, AI, & Space

US spy satellite agency isn’t so silent about a coming launch that will allow it to access potential threats by continually track other objects in geosynchronous orbit 

The top geospatial intelligence brands in the world

China’s Constant Spying On Australian Drills From Space A Sign Of Shifting Orbital Balance

What is a liquid neural network, really?

7 ChatGPT Prompts To be a Better Data Scientist

What are LLMs bad at? Reference lists

“Space science is such a rarefied field that the developers don’t have the security skills to do a rigorous shakedown of a satellite”

GenAI Is Making Data Science More Accessible

5 Things You Need to Know When Building LLM Applications

What a hijacked satellite could do

Finding: “The larger the satellite the more vulnerable it was” to hacking

A study into the feasibility of hacking low-Earth orbit satellites has revealed that it's worryingly easy to do

Four types of learning in machine learning explained

Five essential Python packages for effectively handling and visualizing valuable insights from geospatial data

Stability AI known for its text-to-image generation model called Stable Diffusion has now released a

code generator called StableCode

Researchers say they have developed an optical neural network that can “significantly reduce the size and processing time of image sensors”

The importance of data cleaning in data science —what it is, the benefits of using it, & the commonly used tools

IBM and NASA open source an AI model for geospatial data analysis

AI startup Sweetspot is a search engine using LLMs to look for specific U.S. government contracts

How can Data Scientists use ChatGPT for developing Machine Learning Models?

“Five mistakes I made while switching to data science career”

“Liquid neural networks, a novel type of deep learning architecture offer a compact, adaptable and efficient solution to certain AI problems”   

Physicists have found that deep-learning AI technology can accurately quantify the amount of entanglement in a given system 

Scientists have trained a machine learning model in outer space