News

Manufacturers' Monthly1h
Applying business goals to machine learning metrics
With the hype around machine learning (ML) and the rush to transform businesses with it, unsurprisingly, not all ML projects ...
TMCnet1d
Lumina AI Debuts RCL 2.7.0 with Native Linux Support for GPU-Free Machine Learning
Ground-breaking, GPU-free machine learning now installs in minutes on Ubuntu, Red Hat Enterprise Linux, and Fedora, complete ...
Devdiscourse1d
Machine learning powers next-gen flood risk mapping with unprecedented accuracy
Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...
AZoSensors2d
New Study Uses Gait Data and Machine Learning for Early Detection of Anxiety and Depression
This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...
Devdiscourse3d
Machine learning boosts solar radiation forecasting for Amazonian agriculture
Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...
Scientific Research Publishing4d
A Comparative Study of AI-Powered Chatbot for Health Care ()
A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...
IEEE5d
Enhancing Stock Price Forecasting Accuracy with Hybrid Machine Learning ...
Predicting the future of stock market is essential for financial professionals and investors. This paper proposes a reliable method for better accuracy in stock price prediction by using the ...
IEEE5d
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive ...