Explainable predictive AI in Qlik Cloud lets teams model real-world drivers and update plans in-app with WriteTable for faster outcomes ...

The study by researchers from Qingdao University of Technology and the Shandong Engineering Research Center of City Information Modeling introduces the URCA model, a dynamic system for evaluating how ...

AI is not merely a computational tool but an organizational change agent. Its ability to gather and analyze real-time data ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

This important study examines the potential role of ARHGAP36 transcriptional regulation by FOXC1 in controlling sonic hedgehog signaling in human neuroblastoma. While there are many solid findings ...

Atrial fibrillation (AFib) is a cardiac disorder in which the chambers of the heart beat rapidly and irregularly. It's the ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...

Maintenance optimization tools and methods are continually expanding and improving, yet there is no better time to leverage their potential than now. Below are six maintenance and reliability case ...

Thinking Machines Lab, led by a group of prominent former OpenAI researchers, is betting that fine-tuning cutting-edge models ...