The Debrief

U.S. Political Polarization Didn’t Rise Gradually—It Spiked After 2008, Study Finds

Polarization in the U.S. didn’t rise gradually. A new machine-learning study shows it surged after 2008- but why?

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Scientific American

Space archaeologists may have found a long-lost Soviet lander on the moon

Scientists have spent decades searching for the final resting place of Luna 9, the first spacecraft to soft-land on the moon.
Psychology Today

Navigating the Impacts of AI-Driven Social Media Algorithms

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...
Dexerto

You can now doomscroll Wikipedia like social media with a clever algorithm

If you’ve ever wanted a social media feed that’s a bit more educational, that dream is now a reality thanks to Xikipedia.

LearningMole Launches AI Literacy Initiative to Help Teachers and Parents Prepare Children for an AI-Enabled World

Educational platform announces expanded course programme addressing critical thinking, responsible use, and AI ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
blockchain

Reinforcement Learning Explained: Visual Guide to AI Training Techniques and Business Applications

According to God of Prompt on Twitter, a recent visual demonstration by @deliprao illustrates how Reinforcement Learning (RL) operates, highlighting the core cycle of agent-environment interaction, ...
Frontiers

Development of machine learning predictive model for type 2 diabetic retinopathy using the triglyceride-glucose index explained by SHAP method

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.