FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
2UrbanGirls on MSNOpinion

Neel Somani on formal methods and the future of machine learning safety

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
The Brighterside of News on MSN

AI tool uncovers hundreds of hidden cosmic oddities in Hubble data

A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter ...
Devdiscourse

AI-driven methods accelerate detection of pesticides in food systems

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
AZoSensors

Machine-Learning Technique Shown to Reduce Sensor Drift in Electronic Noses

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
The New York Times

What is CLA, the revolutionary coaching method used by Victor Wembanyama and other top athletes?

LOS ANGELES — Victor Wembanyama is doing something wrong. The 7-foot-4 unicorn, still in the early stages of rewriting how basketball is played, just made a move few in the world can. But it’s the ...
IEEE

Unsupervised/Semi-Supervised Magnetic Anomaly Detection Method Based on Deep Support Vector Data Description

Abstract: Existing magnetic anomaly detection (MAD) methods are widely categorized into target-, noise-, and machine learning-based methods. This article first analyzes the commonalities and ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Frontiers

Advanced Supervised Machine Learning Techniques for Accurate Prediction of Diabetes Mellitus Using Feature Selection

The final, formatted version of the article will be published soon. Background): Diabetes Mellitus (DM) is a chronic metabolic disorder that poses a significant global health challenge, affecting ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...