Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

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, ...

LEGO Education’s CS and AI curriculum is designed to build AI literacy by turning students from passive users into active ...

Duolingo (DUOL) leverages AI to transform content creation, personalization, and scalability, positioning itself as a ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

AI for the CFO and Supply Chain Finance, a conversation with Anant Kale, CEO of AppZen on AI, Finance and the rise of the AI ...

Over the winter break, I used Claude to solve an entire research problem at the intersection of architecture, security, ...