Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Abstract: Effective earthquake early warning (EEW) relies on accurate and rapid signal detection. This letter presents PWaveSense- a real-time earthquake detection framework using distributed acoustic ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...

The American Medical Association (AMA) has created a Center for Digital Health and AI that it hopes will pave the way for thought leadership and policy on the technology. The AMA has long advocated ...

Two years after revamping its developer programs and pricing, X is expanding the closed beta of a pay-per-use plan for its API to more developers. The social network is accepting applications from ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

Thinking Machines Lab, a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product—a tool called Tinker that automates the creation of custom frontier AI ...

Chinese e-commerce giant Alibaba’s "Qwen Team" of AI researchers has done it again. After a busy summer in which the AI lab released a whole fleet of new open source AI models with support for English ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...