The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

Soley Therapeutics today announced the publication of a peer-reviewed study in Scientific Reports describing a new approach to understanding how living cells react to drug molecules, inverting ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Automated tuning of gate-defined quantum dots is a requirement for large scale semiconductor based qubit initialisation. An essential step of these tuning procedures is charge state detection based on ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...

Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania Therefore, it was hypothesized that by analyzing real-time physiological, behavioral, and milk ...

Abstract: In this paper, an automatic visual inspection method based on supervised machine learning is proposed to assist rapid on-site evaluation (ROSE) for endoscopic ultrasound-guided fine needle ...