AI classifier flags bird flu genomes more likely to spread in mammals

A research team from the LKS Faculty of Medicine at the University of Hong Kong (HKUMed) has developed a machine-learning ...
Frontiers

Machine Learning and Artificial Intelligence for Optimizing the Diagnosis and Management of Cardiovascular Disease

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...
Assembly Magazine

Machine Learning Detects Fastening Errors

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
IEEE

Machine Learning for Breast Cancer Classification: A Comparative Study of Grid Search-Optimized SVM, Random Forest, and XGBoost

Abstract: The disease of Breast cancer (BC) poses a significant health challenge, as it is the most prevalent invasive cancer and the second most common cause of death among women. BC is a type of ...
European Medical Journal

Machine Learning Predicts Risk of Fragile X-Associated Syndrome

Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...
Devdiscourse

Advanced AI can accurately predict future food demand trends

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
EurekAlert!

Mixed signals: Machine learning helps detecting roars from lion collars without recording actual audio

Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Futurism

Sam Altman’s Coworkers Say He Can Barely Code and Misunderstands Basic Machine Learning Concepts

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...
IEEE

The Impact of Image Spatial Resolution and Machine Learning Algorithm on Urban Vegetation Classification: Focus on Data Loss and Misclassification

Abstract: Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating ...