In an Era of “Do More With Less,” Jennifer Y. Afriyie’s R.E.S.T. Framework™ Offers a Groundbreaking Blueprint for Sustainable Success Everyone is trying to outrun the machines, but that’s a losing ...
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 ...
The Kansas City Chiefs benefitted from many calls in their favor during their mini-dynasty. Frankly, that's what happens when you have a good football team. The Chiefs put their opponents in ...
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 ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
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 ...
More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...
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