30 AI & Data Science Articles form July
/A Look Under the Hood of Scopus AI: Elsevier’s search tool for scholarly testing
Bayesian Thinking in Modern Data Science
When AI makes a fatal mistake, who’s to blame? Air Force Secretary weighs morality and reality
Tracking AI-Related Activities in the Private Sector
A collection of tutorials focused on visualizing data
Could TTT models replace transformers to become the next frontier in generative AI?
US spy satellite agency rethinks its relationship with Space Force
Direct, specific instructions for computers created by a human through coding that tells the computer how to perform a task. This set of rules has a finite number of steps that instruct the computer how to perform a task. More specifically, it is code that follows the algorithmic logic of “if”, “then”, and “else.”
How to assess a general-purpose AI model’s reliability before it’s deployed
Big Data Analytics in 2025: Top Trends to Watc
A Look at the technology & hardware that make spy satellites work
The US military will award a $3 billion contract for AI-driven geospatial intelligence this fall
Tools every data scientist should know: A practical guide
Unlike AI prompts requiring user conversations, AI agents work in the background. Users provide a goal (from researching competitors to buying a car) and the agent acts independently, generating task list and starting to work. The industry is working toward a goal of agents operating independently. More AI definitions here:
AI model harnesses physics to autocorrect remote sensing data
10 GitHub Repositories to Master Data Science
This means replicating the physical in a virtual environment. The twin might be a copy of us or the objects around us, such as a video avatar of a person or a statistical model of a complex phenomenon...
15 Graphs That Explain the State of AI in 2024
“What do we need from a probabilistic programming language to support Bayesian workflow?”
Certifications that can boost your data science career in 2024
The case for decentralized data scientists
AI Definitions: Retrieval augmented generation (RAG)
This coding technique instructs the bot to cross-check its answer with what is published elsewhere, essentially helping the AI to self-fact-check. RAG lets companies “ground” AI models in their own data, ensuring that results come from documents within the company.
Satellite Images Show Expansion of Suspected Chinese Spy Bases in Cuba
Artificial intelligence can speed-sort satellite photos
Helping nonexperts build advanced generative AI models
Why AI systems like ChatGPT are so good at some tasks and so bad at others