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 ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

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 ...

Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container. Microsoft Azure is now so big it’s ...

iOS 26 includes multiple new Apple Intelligence features, but one of the biggest changes is that Apple has opened up its AI models to third-party developers. This allows third-party apps to plug ...

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...

OpenAI's Realtime API is now optimized and generally available. You can try its latest speech-to-speech model, gpt-realtime. The upgrades improve OpenAI's voice ...

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 ...