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 ...

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 ...

Capturing gravity waves: Scientists break 'decades of gridlock' in climate modeling

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...
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 ...
Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
University of Chicago News

$20 million gift launches lab at Harris School to advance field of algorithmic public policy

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

The Remix Era: AI, Federal Reform and the Future of Weed

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.
IEEE

Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

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

Predicting Thyroid Disease using Machine Learning: A Comparative Study of Algorithms

Abstract: Predicting thyroid illness has become a significant problem in recent times. Thyroid illness is getting more frequent in women over thirty, but it is also becoming more prevalent in men, ...