24 Data Science & AI Articles from July 2023

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The future space economy could encompass activities that currently aren’t being pursued at scale, such as in-orbit manufacturing, power generation, & space mining, as well as scalable human spaceflight 

Will the future be filled with “networks of autonomous drones, deployed around the globe, helping humans keep conflict in check … or maybe the skies will darken with attack swarms”

A basic explanation of geospatial data & geospatial technology—how they are used and their limitations

Our hesitation, perceived or otherwise, to move forward with military applications of artificial intelligence will be punished

Our Oppenheimer Moment: The Creation of AI Weapons 

The AI-powered, totally autonomous future of war Is here

Experts imagine what artificial intelligence could mean for the future of satellites, space entrepreneurship, and government defense systems 

How much coding is needed in a data science career?

10 Specific Predictions about AI

A look at what sets Meta’s Llama 2 apart from its predecessor & other large language models—here’s the technical details & implications for data scientists

US sharpens military space race plan as Space Force is challenged to compete with China  

A review of major data science and AI developments during the first half of 2023

What’s missing from ChatGPT and other LLMs?

How does Bayesian inference work when estimating noisy interactions?

A US Army project called "Real-Time Threat Forecasting" hopes to create AI that can forecast enemy actions just minutes before the enemy actually does it—and continuously update that forecast as adversaries change their tactics

OpenAI rolls out a ChatGPT Plus feature called the Code Interpreter that can write and execute python code, and can work with file uploads

A primer on large language models

The latest trends in artificial intelligence and deep learning from the metaverse to quantum computing

“I don't think generative AI will displace predictive analytics"

Understanding the difference between advanced and predictive analytics

The advantages of Causal AI over traditional machine learning

Most of the large language models developed in China are nearly 2 years behind the US—a gap that would be a challenge to close even if American firms had to adjust to regulation

A Chinese satellite manufacturer and constellation operator says it has successfully demonstrated space-to-ground high-speed laser communications— transmitting data 10x faster thanks to lasers

The engineering applications of machine learning and predictive analytics

15 Data Science Articles from Jan 2023

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25 Data Science Articles from Dec 2022

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A Pandas DataFrame cheatsheet for exploratory analysis & data manipulation 

Five ways that data roles will change in 2023 related to Chief Data Officers

AI & machine learning are “top of mind for the Army, especially as it pertains to protecting its assets in space”

10 weird things about SpaceX's more than 3,000 Starlink satellites (and that number keeps growing)

Initial specific steps toward launching a machine learning project 

Adobe has just released a remarkable and free AI-powered enhanced speech tool

The four biggest trends they expect to shape the AI landscape in 2023

Synthetic data applications, limitations & vulnerabilities

A guide to the roles and responsibilities on a data migration team

A tech journalist goes back to high school to find out what OpenAI’s Chatbot can pass AP Lit

The current limitations of AI’s military impact & where tech could one day spark “revolutionary changes” 

How Bayesian network structure learning can incorporate missing data 

The NGA has plans to develop an overarching cloud-based enterprise management system capable of automating its data collection and dissemination and ultimately replacing the overall Foundation GEOINT storage and management process 

A new paper on “Localization and classification of space objects using EfficientDet detector for space situational awareness”

Potential uses of ChatGPT for data scientists

McKinsey on the state of AI since the research firm began tracking it five years ago

A new collaborative effort is designed to “support interoperable open map data as a shared asset that can strengthen mapping services worldwide”

Different kinds of geospatial specialists are needed in different situations

China outpaces efforts by U.S. intelligence agencies to harness power of publicly available data 

The Space Dev Agency’s first major satellite launch has been delayed again

A look under the hood: How does ChatGPT work internally? 

An AI method from MIT and IBM research “improves the training and inference performance of deep learning models on large graphs”

Some basics about the new AI called ChatGPT 

Why Neural Network explainability is important, how to do it, & the tools for it

“The FCC approved part of SpaceX’s application for the second generation of the Starlink constellation, which will allow SpaceX to deploy up to 7,500 satellites”

20 Data Science Articles from Nov 2022

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3 approaches to track and reduce space debris

Big tech has a “blind spot about the severe limitations of large language models.” Meta’s Galactica is another example

A key advancement toward commercial quantum computing applications

Creating and deleting a SQL database on Azure Cloud

A dataset to train AI systems that can generate code

The NRO has released its formal request for proposals from commercial operators who can provide the spy satellite agency with hyperspectral imagery

Tracking the typical lifecycle of AI innovations in the aerospace and defense industry

Scientists call for better space weather alerts to prevent commercial space disasters

Data preparation is key to expanding military benefits of AI

The difficult search for dangerous space Junk that could potentially trigger devastating chain reactions 

The National Geospatial-Intelligence Agency plans to double spending on contracts to monitor global economic activity from space

“Our adversaries are coming after us in cyberspace” says a U.S. Space Force Col.

5 ways to use predictive insights to get the most from your data

Where is the satellite intelligence industry heading next?

15 of the little-known uses of artificial intelligence

Geopolitical threats in the space environment—debating a potential new cold war

AI creators have problems explaining how it works and determining why it has the outputs it has

Top C++ based data science and machine learning libraries

A moderately large atomic detonation could knock out satellites in low Earth orbit

7 Steps to Mastering Machine Learning with Python in 2022

29 Data Science Articles from Oct 2022

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“The Pentagon needs an intelligent decision support system to assist with analyzing all the data available without causing information overload for the analyst while detecting nuances and subtleties an analyst may not observe.” Read more.

Russia's anti-satellite threat tests laws of war in space

The Space Force & US Space Command could see action if Russia follows through on threats to target commercial satellites assisting Ukraine’s defense of its homeland. Read more.

SpaceX Amazon & FCC discuss satellite spectrum rulemaking

Senior Russian foreign ministry warns that the commercial satellites used by the US & its allies could become "legitimate" targets for retaliatory action by Russia. Read more.

Understanding graph neural networks & how they “apply the predictive power of deep learning to rich data structures that depict objects and their relationships as points connected by lines in a graph.” Read more.

How linear regression is used in machine learning

Linguists believed that learning language is impossible without a built-in grammar template. New AI models prove otherwise. Read more.

The value of imaginary numbers in quantum ideas to describe the hidden shape of the universe. Read more.

NSA cybersecurity director's 6 takeaways from the war in Ukraine 

Artificial intelligence explainability according to MIT: “the ability to manage AI initiatives in ways that ensure models are value-generating, compliant, representative, and reliable” Read more.

Military research groups are buying advanced US software products & selling them on, boosting China’s hypersonic missile program—despite export controls designed to prevent resales to foreign entities. Read more.

FCC tightens rules on space junk: the five-year limit for getting rid of dead satellites could slow the growing orbital litter problem—if companies will abide by it. Read more.

Surprise discovery of radio signals could help track space junk and limit global security risks

The future of military satellite communications starts now

Ukraine Lessons for Naval Intelligence's Next War

Russia launches three satellite deployment missions in one week

An update on the space race matching smartphones with low-orbit satellites

Radiation from outer space could affect the computers on satellites

The charge required to corrupt data is getting smaller all the time, meaning it is actually getting easier for cosmic rays to have this effect. Read more. 

3 Simple Ways to Speed Up Your Python Code

“Sweeping change is coming to the U.S. Army’s fleet of fixed-wing intelligence-gathering aircraft over the next several years.” Read more.

10 Data Science Cheat Sheets

The war in Ukraine has underlined the growing importance of space to armies on the ground

“For serious software development, the no-code/low-code approach doesn’t work when you need to develop mission critical software. It is even more far-fetched, then, to have only citizen data scientists running your AI/ML.” Read more.  

What will happen to the space debris in orbit?

10 things journalists should know About AI

The NRO is “redefining how it works with the US Space Force and the US Space Command” to “expand the NRO’s space-based intelligence surveillance and reconnaissance” as it faces a “more complex near-peer adversary environment.” Read more.

How to create satellite imagery datasets and how to apply a classification model to them based on convolutional neural networks. Read more.  

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17 Data Science articles from Sept 2022

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A layered security strategy is a must for satellites because “assets will be targeted without directly going after the satellite”

NRO signs agreements with six commercial providers of space-based RF data  

AI Isn’t Ready to Make Unsupervised Decisions

How to Handle Imbalanced Data in ML Classification using Python

As satellite imagery moves from “primarily selling imagery to selling monitoring, data products, and insights” 3D modeling and mapping takes center stage

U.S. GEOINT Is Clear Driver in Ukrainian Defense

China has committed $15.3B in public funds in quantum computing investments— eight times what the US has pledged

How to derive more exact integral formulas that give the complex calculations greater accuracy toward identify data symmetries

5 Data Science Skills That Pay & 5 That Don’t 

NGA Maps Out Digital Priorities for GEOINT  

The Geospatial Imagery Analytics Global Market Report 2022 predicts yearly growth from $7.4B to $9.5B with the main types of geospatial imagery analytics are video-based analytics and imagery analytics

Three ways to establish causal relationships and how Data Scientists can adopt a causal mentality

Demystifying artificial intelligence & machine-learning (in a few words)

Five Interesting Facts about the National-Geospatial Intelligence Agency

Here’s a data visualization library in Python which provides interactive and sophisticated features for analyzing data with interactive plots

New York Times: It’s time to start taking the potential and risks of artificial intelligence  

The quality of your predictive model results depends on a robust understanding the difference between training and testing data in machine learning

25 Data Science Articles from July 2022

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Is machine learning about to face a reproducibility crisis?

The US Space Force has picked Wallaroo’s AI & machine learning platform to solve edge model deployment challenges in space  

A new Python package for computing effect sizes

Deep learning researchers should try other techniques when solving a problem

Chinese-made Huawei equipment atop cell towers is capable of capturing and disrupting highly restricted Defense Department communications

A small satellite mission for DARPA called Red-Eye comes to light that tested crosslinks and on-orbit processing

NGA is supporting the new Dept of State-funded Conflict Observatory program which helps document potential war crimes

US military cybersecurity experts at DARPA are concerned about the ubiquitous & open source Linux kernel

“Satellite modularity may be the key to answering new imperatives for the military space”

Large language models are not very good at being factual. “It looks very coherent. It’s almost true. But it’s often wrong.”

AI-enabled image fraud in scientific publications

It’s turning out to be harder than expected to integrate multiple types of satellites with a new ground architecture using custom-built ground stations

What does the smallsats trend & the rise of low earth orbit constellations mean for Geostationary Orbit?

China sent a new data relay satellite into orbit that can work in different orbital positions low- and mid-orbiting satellites

From physicist to machine learning engineer for Google—talking about skills he had to learn, “use cases, best practices & the field of ML”

Making atomic force microscopy more accurate with artificial intelligence by using machine learning techniques to reduce AFM uncertainty

Apache Hive hacks for a data scientist

Countries that have launched the most objects into space ranked

A practical guide for time series data forecasting using machine learning models in Python

He dropped out to become a poet. Now he’s won the top award for mathematics: “Mathematicians are a lot like artists in that really we’re looking for beauty”

How predicting the occurrence of a word (n-gram language modeling) can be used at the convergence of artificial intelligence & linguistics (natural language processing)

Team seeks to improve coordination between data from geospatial intelligence information systems – operated by the National Geospatial Intelligence Agency and US Air Force aircraft

Some of the best spreadsheets with the power of Python and the ease of use of Excel

“The question of whether space is really crowded is hotly debated in the industry” Myths vs. Reality

Adversarial machine learning poses a new threat to national security

Daily data science articles here.

27 Data Science Articles from June 2022

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The priorities of the first-ever assistant secretary of the Air Force for space acquisition and integration (& top acquisition executive for the Space Force)

Google Cloud expands Earth Engine to help businesses and governments

Comparing C++ to Python (with examples)

Can synthetic data help AI get quicker results —and be less discriminatory? Here comes the fake data

OpenAI says its latest AI has learned to play Minecraft

US intelligence artificial intelligence use is booming but it's not the secret weapon you might imagine

“A major challenge facing the DoD at the moment is disparate data, spread across many different databases and stakeholders. Future winners will be those that can take all the data into a single location and make sense of it.”

“AI solutions for defense are much more mundane and focused on improving decision-making for humans” than many would imagine”

Space 2.0: “The shape of space is expanding beyond traditional defense & aerospace to an expansive range of practical & profitable applications.” A look at the 2022 trends

China launches first crewless drone carrier—experts suggest that it could also be used as a military vessel  

Space-based assets aren’t immune to cyberattacks: Russia's attack on Viasat satellites exposed how vulnerable space-based assets are and the potential for spillover damage

Which is better for data science visualization—R or Python? (hint: it all depends on the nature of the problem to be solved) 

Overcoming overfitting a model in machine learning

How space debris threatens modern life  

Ranking Pandas for Python, Dask & Datatable based on their performance

Snowflake ups support for python Build and offers Native Application Framework to run applications inside the Snowflake Data Cloud platform

Pentagon’s new AI and data chief waited days just for an ID card: ‘Let me say honestly that the bureaucracy is real’

The basic process of handling satellite image data for geospatial deep learning

6 Types of “feature importance” — a useful (and yet slippery) machine learning concept

Google Cloud’s new machine learning tools for its Vertex AI are now making their debut after being featured at the recent Applied ML Summit

The remarkable story of deploying the satellite communication system Starlink in Ukraine

Creating a simple, interactive dashboard with Panel & Python

Wanted: artificial intelligence & machine autonomy algorithms for military command and control

A visual breakdown of threats to space-based services such as Starlink & GPS

Google won’t allow people to create deepfakes using its collaborative machine learning platform any longer

“Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science” 

Top YouTube channels for learning data science

Some basic data cleaning issues and possible solutions

Daily Data Science stories here.

24 Data Science Articles from May 2022

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Spark or Hadoop? Both Apache products can be used by data scientists but which is the better analytics tool? Here’s a comparison—along with which one will fit better based on your project focus

Fixing data lake errors can be time-consuming, and costly—here are some thoughts on standardized an autonomous validation approach to avoid the lake becoming a swamp

Interpol: in a couple of years expect state-developed cyber weapons to be available on the dark net  

Do you think Python is slow? Here’s a fast way to loop in Python

Looking for patterns in satellite image time series with python? Here’s a quick guide for handling time-varying imagery with open python libraries 

Can the new-and-improved Large Hadron Collider save particle physics?   

Want to run Python code in a browser? Soon you might be able to 

The AI Engineering Process: A guide to solving an AI problem

The challenges of organizing geospatial intelligence efficiently 

Making predictions outperforms smart teams of data scientists working on large data sets. Some examples of machine learning mistakes thanks to the narrow thinking of the humans that created them.

Some researchers claim we’re on the cusp of GoPro physics—where a camera can point at an event and an algorithm can identify the underlying physics equation

An in-depth look at Neural architecture search—the AutoML subfield aiming to replace manual designs

In an effort to enhance artificial intelligence & machine learning technologies military researchers are letting it be known they want more accurate processing of covariance information related to environmental variations and noise

Intelligence agencies are starting to coalesce around a set of common standards and data for using open source intelligence

A detailed explanation of handling satellite imagery in the format of .tiff files using Python.

A way to better understand road networks by measuring their spatial homogeneity using machine-learning tools like graph neural networks

The place where machine learning shines

A new deep learning technique shows promise to make robotics systems more stable in handling deformable objects

Small satellites: The implications for national security 

Ukraine may be a tipping point for developing intelligent weapons

Two main types of adversarial attacks in neural networks

It’s not just about gathering data—it’s telling compelling stories 

NGA to Leverage AI, ML for GEOINT Analysis at Scale 

From data scientist to … comedian?

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28 Data Science articles from April 2022

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“Machine learning, deep learning, and all other technologies that fit under the umbrella term ‘AI’ should be considered only after you have well-defined goals and problems”

Space Force has insatiable demand for geospatial intelligence

“The computer paradigm especially when applied to natural language understanding (NLU) and brains, isn’t effective when needed in artificial intelligence applications.” Here’s an alternative model based on patterns

A step-by-step explanation of computational graphs and backpropagation in a recurrent neural network

NGI taking operational control of part of Project Maven—the Pentagon’s signature artificial intelligence program

NGA shifting tech investment to reflect GEOINT revolution:  "The flood of new imagery capabilities is overwhelming. Data driven technologies like artificial intelligence are essential”

How commercial space systems are changing the conflict in Ukraine

Outsourcing model-training to third parties? There are some undetectable backdoors in machine learning model classifiers ripe for misuse

Is interpreting ML models a dead-end? Can the interpretation process be detached from the model architecture?  

Today’s battlefield data is helping smart machines model the wars of the future 

“Applying advanced AI tools to publicly available imagery is producing critical information to help the Ukrainian military thwart Russian attacks.”

How big is the US space economy? Here are the numbers: “The statistics show a space economy in transition”

Is artificial intelligence creating a new colonial world order? An MIT Tech Review explores the topic

Practical tips on creating dashboards using Python, Plotly & Dash

58 Data Visualization and Infographic Options 

The co-creator of R reflects on the language 

How to use SQL anti-joins in your data science career

“Tech companies have been using automated tools to moderate content for a really long time and while it’s touted as this sophisticated machine learning, it’s often just a list of words they think are problematic”

A new machine learning generative model from OpenAI can generate mashup images from text descriptions—here’s a look at its deep learning promise as well as limitations

The Standard Model takes a hit from work at Fermilab on the elementary particle called the W 

“The US Space Force plans to launch to geostationary orbit three small satellites that will attempt to dock with a propellant tanker so they can be refueled in space”

The weakest link in space systems revealed in Viasat Cyber Attack

Are low-code and no-code solutions an immediate threat to job security of the professional software developer? 

NASA is planning for a first: launching a robot to refuel a satellite in space 

Google is launching BigLake—a new data lake storage engine with the goal of merging disparate lakes and warehouses to minimize silos

Geospatial intelligence is having its “internet moment” right now

S. Korea aims to deploy microsatellites via solid-fuel rocket within 3 years

A look at TPOT—Tree-based Pipeline Optimization Tool—the Python “data science assistant” that helps to build machine-learning fully-automated prediction pipelines

The future of space: 3 aerospace experts describe the space economy of tomorrow