This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

RobCo plans to use the new capital to continue developing its physical AI systems and expand enterprise deployments in the ...

Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...

Joshua Rowe Eyler does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

06/17/2025 Motion to expedite consideration of the petition for a writ of certiorari before judgment filed by petitioners Learning Resources, Inc., et al. 06/18/2025 Response to motion from ...

It’s a sadly familiar experience many of us have had: dealing with a younger person who seems absolutely stumped when you ask them to do any sort of problem solving or creative thinking. I was dealing ...

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...

Runway refers to how long your business can continue operating before it runs out of cash, and it’s calculated by dividing your cash reserves by your monthly cash burn. Fixed expenses are your biggest ...

The aim of the present study was to analyse the association of bullying and cyberbullying with deep learning, superficial learning, planning and decision making, as well as school procrastination. A ...

Abstract: Variable names are of critical importance in code representation learning. However, due to diverse naming conventions, variables often receive arbitrary names, leading to long-tail, ...