17 Articles about AI & Data Science from July 2026

/

Successful data science and AI projects do not begin with the latest model. They begin with a clear problem, reliable data, appropriate evaluation, realistic costs, and a plan for turning results into action.

How to Efficiently Prompt Claude Code  

A hands-on guide to tracking machine learning experiments, logging models, and reproducing results

How Much Does It Actually Cost to Run a Local LLM?  

How I’m Making Sure My Analytics Career Doesn’t Get Eaten by AI  

10 YouTube channels that will keep You ahead in AI engineering that include paper breakdowns, coding tutorials, and industry analysis

How to Write a Data Scientist Resume in 2026: Complete Guide   

Why “Neural” Processing Could Enable the Next Big Leap for Geospatial

Data Scientists Are Becoming AI Managers, Not Model Builders

Why Convolutional Neural Networks Still Matter in Modern AI  

How AI is forcing a redesign of security itself: Every product and every part of the architecture must now be geared or retrofitted to detect incidents at runtime  

Eight NATO countries plan to link their military satellites into a “mega-constellation” to enable “high-speed communications, intelligence and missile tracking”   

The Beginner's Guide to Neural Networks  

Demystifying loop engineering: Get more from AI agents, avoid loopmaxxing  

The artificial intelligence arms race has shifted from a one-dimensional battle over model intelligence to a multi-layered infrastructure war 

A new working group in the geospatial industry is focused on maritime intelligence and looking for participation from satellite operators, analytics firms, government agencies and academic institutions

5 Agentic Workflows to Automate Your Data Science Pipeline

17 Articles from June about AI & Data Science

/

21 Recent Articles about AI & Data Science

/

Why satellite imagery falls short for AI training data

How to Write Robust Code with Claude Code

Recursive Language Models: An All-in-One Deep Dive

It’s worth revisiting fundamental ideas from probability theory and examining where common assumptions about AI reliability begin to break down.  

White House Approves a secret $9 Billion request for Spy Agencies to Catch Up on A.I.  

Six Choices Every AI Engineer Has to Make (there are production trade-offs that only appear once your model is live)  

Germany is launching military AI into space

Why sandboxing OpenClaw doesn’t stop data exfiltration

Five fundamental concepts that every Python developer should have in their toolkit.  

How AI Agents Will Transform Data Science Work in 2026

How to undo Git actions with confidence

"Should we process our data in batches or in real-time?" The answer depends on another question: "When does the answer matter?"  

Making Claude Code validate its own work  

How to Build an Efficient Knowledge Base for AI Models

Re-thinking human–machine interaction and the governance of AI in the military domain

How insertion and deletion errors disrupt data synchronization in modern communication systems   

NRO says proliferated satellite architecture exceeding expectations

How AI Tools Generate Technical Debt — and What to Do About It  

To accelerate adoption of commercial technology, NGA has established a Rapid Capabilities Office 

Tech firms are partnering up under an initiative called Coalition Edge to push analytics, cloud infrastructure and connectivity closer to the battlefield

Claude Code is leaking API keys into public package registries

20 Articles from April about AI & Data Science

/

18 Articles from February about Data Science & AI

/

Tech Companies Turned Ukraine Into an AI War Lab

/

The collaboration between foreign tech companies and the Ukrainian armed forces, who say they have a software engineer deployed with each battalion, is driving a new kind of experimentation in military AI. The software processes raw intelligence from sources including drones, satellites, and Ukrainians on the ground, as well as radar that can see through clouds and thermal images that can detect troop movements and artillery fire. AI-enabled models can then present military officials with the most effective options to target and enemy positions.

Read more from TIME

The Bitter Lesson

/

There’s a famous essay in the field of machine learning known as “The Bitter Lesson,” which notes that decades of research prove that the best way to improve AI systems is not by trying to engineer intelligence but by simply throwing more computer power and data at the problem. The lesson is bitter because it shows that machine scale beats human curation. And the same might be true of the web. Read more at The Verge

The Potential of AI using Liquid Neural Networks

/

Large language models like ChatGPT and Dall-E have billions of parameters, and each improved model increases in size and complexity. Researchers at an MIT lab believe artificial intelligence can make a leap forward by going smaller. Their experiments show liquid neural networks beat other systems when navigating in unknown environments. “Liquid neural networks could generalize to scenarios that they had never seen, without any fine-tuning, and could perform this task seamlessly and reliably.” They also open the proverbial black box of the system’s decision-making process, which could help to root out bias and other undesirable elements in an AI model. The results have immediate implications for robotics, navigation systems, smart mobility, and beyond toward predicting financial and medical events. Read more here.

15 Data Science Articles from Jan 2023

/

25 Data Science Articles from Dec 2022

/

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”

27 Data Science Articles from June 2022

/

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.