AI market forecasting is reshaping how organizations anticipate demand, risk, and opportunity by processing massive volumes of structured and unstructured data in near real time. Modern systems ingest ...

Abstract: This paper presents an Adaptive Generalized Quasi-Spectral Model Predictive Convex Programming (AGS-MPCP) framework for constrained guidance problems based on Gaussian orthogonal collocation ...

Predictive Oncology ( (POAI)) has provided an update. Predictive Oncology Inc., a company involved in the field of oncology, has announced a corporate name change to Axe Compute Inc., effective ...

Candace Owens is photographed on the set of her show, "Candace," in Nashville, Tennessee. (Photo by Jason Kempin/Getty Images) The Game’s new mixtape, “Gangsta Grillz: Every Movie Needs A Trailer,” ...

Gold producer Perseus Mining Ltd. has offered to buy the shares it does not already own in smaller rival Predictive Discovery Ltd., swooping in after the BlackRock Inc.-backed target agreed to merge ...

Bart Coppelmans is the senior director of product management for HERE Technologies.

Abstract: The promise of model-predictive control (MPC) in robotics has led to extensive development of efficient numerical optimal control solvers in line with differential dynamic programming ...

A peculiar aspect of crypto has been the speed at which it has evolved, the polarised discussions around it and the incredible slowness of regulations as well as policy in contrast. It has also gone ...

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).

Outback Steakhouse’s decision to close 21 U.S. restaurants and allow another 22 leases to lapse over the next four years isn’t just a real estate move. It reflects a deeper operational recalibration ...

For a long time, the traditional incident-response model has been used to deal with crises, ranging from cybersecurity attacks to hardware and network failures. But times have changed, and we are now ...

Logistics has shifted from reactive problem-solving to proactive planning, where fulfilling orders requires foresight and precision. Predictive analytics has made forecasting for the upcoming months ...