R vs. Pandas: Understanding, slicing, filtering, and manipulating dataframes in R and Python Pandas
A Python Cheat Sheet for Data Structures and Algorithms
A new method for the spatial point patterns generation by classifying remote sensing images using convolutional neural network
Intelsat has lost the ability to command its Galaxy 15 satellite
School yourself on space junk—with some cool graphics
This fall the US Defense Innovation Unit will test ways to mitigate GNSS disruptions accelerating the use of commercial GEOINT and NAVWAR tools
The US Air Force is asking researchers to develop quantum computing software algorithms to boost AI and machine automation technologies for new generations of command and control systems
The evolution from artificial intelligence to machine learning to data science
The limitations of blockchains and criterion for judging when a blockchain is applicable
Some prominent members of the AI community are expressing doubt about machine learning’s role in AI’s future
Data manipulation using the dplyr package In R including filtering, selecting, arranging, summarizing and more
If war comes to space, who will control US spy satellites?
As US intelligence & military speed new sensors to space they are still working on details of who’s ultimately in charge during a conflict
Machine learning innovation among military industry companies has dropped off in the last year
How datasets are used in neural networks
A primer on how neural networks work
Some background on neural networks
A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage—by propelling protons through solids at unprecedented speeds
A scorecard to evaluate open-source software risks based on potential vulnerabilities and dependencies
Satellite imaging, not tourism, is the modern space race: “The full potential of readily available, nearly instantaneous space imagery has yet to be harnessed”
Action in in Ukraine reveals the vulnerabilities of drones
