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.
JD Supra

Expertise in the Age of Algorithms: Trust and Transparency in AI-Assisted Litigation

Synthetic technologies are reshaping the legal landscape, presenting expert witness reporting with a pivotal challenge: integrating the ...

A digital game improves the mathematical performance of children with dyscalculia

Dyscalculia, characterized by deficits in number sense and calculation skills, affects approximately 5%–7% of the population ...
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 ...
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

Evaluation of Machine Learning Algorithms for Predicting Cybersecurity Incidents

Abstract: This research examines the utilization of machine learning to proactively forecast cybersecurity problems, hence reducing the likelihood of substantial system interruptions. Utilizing the ...