Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.

MRI radiomics shows promise for rectal cancer risk stratification, accurately predicting tumour deposits and aiding treatment ...