New Scientist

We might finally know how to use quantum computers to boost AI

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...
Devdiscourse

AI can’t deliver climate gains without strong governance and capacity building

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
Frontiers

Revolutionizing Dentistry: The Impact of AI and new Algorithms on Diagnostics, Treatment, and Patient Engagement

Artificial Intelligence (AI) is revolutionizing the field of dentistry through its impactful advancements in diagnostic ...
Scientific Research Publishing

Mienye, I.D. and Sun, Y. (2022) A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects. IEEE Access, 10, 99129-99149.

ABSTRACT: Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and ...
Frontiers

Editorial: Machine learning algorithms for brain imaging: new frontiers in neurodiagnostics and treatment

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...
financefeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
IEEE

Applications of Machine Learning in Human Factors and Ergonomics: A Comprehensive Review of Research From the Past Decade

Abstract: This study provides a comprehensive literature review of 130 peer-reviewed journal articles published between 2015 and 2024 on the application of Machine Learning (ML) algorithms in Human ...