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 ...
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

Research on NPGP Prediction Model Based on Random Forest Algorithm

Abstract: This paper presents a comprehensive study on the development of a NPGP model based on the Random Forest algorithm for predicting medal distributions in international competitions. Initially, ...
JD Supra

Not A Categorical Ban: Federal Circuit Narrowed Spectrum of Patent Eligible Machine Learning Claims

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
AZoBuild

Machine Learning Predicts the Strength of Carbonated Recycled Concrete

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
European Medical Journal

AI Predicts Cardiometabolic Multimorbidity Risk in Type 2 Diabetes

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.
Ecommerce Fastlane

What Are AI Algorithms? Types of AI Algorithms + Use Cases

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
IEEE

Change Detection in Remote Sensing Optical Images Using a SPSA-Based Improved Random Forest Algorithm

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...