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., ...
An us-versus-them mentality has emerged between Meta’s top artificial intelligence team and longtime lieutenants to Mark Zuckerberg. An us-versus-them mentality has emerged between Meta’s top ...
OpenAI has sent out emails notifying API customers that its chatgpt-4o-latest model will be retired from the developer platform in mid-February 2026,. Access to the model is scheduled to end on ...
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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
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 ...
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 ...