A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Tandem Diabetes Care, Inc. delivered strong Q4 '25 results, with revenue and gross margin beats driving a 32% stock surge.

MyHomeQuote introduced Performance Prediction Algorithm, technology designed to move campaigns from reactive optimization to predictive performance management.

We’re rolling out Dear Algo, an AI-powered feature that lets you tell Threads what topics you temporarily want to see more or less of. You can repost someone else’s Dear Algo request to try their ...

Abstract: An uncertainty predictive observer-based model-free adaptive disturbance rejection control (UPO-MFADRC) is developed for nonaffine nonlinear systems with uncertain nonlinearities and ...

Abstract: In this work, a novel dual-type reference governor (DRG) is proposed to handle the unreachable reference within the prediction horizon for the model predictive control (MPC). The proposed ...