devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...
Journal of Medical Internet Research

Assessing Large Language Models in Building a Structured Dataset From AskDocs Subreddit Data: Methodological Study

Methods: We developed a dataset of Reddit posts from r/AskDocs by extracting key information via human annotators. Then using specially engineered prompts we used state-of-the-art Large Language ...
Torque News

I Successfully Charged My Tesla Model Y From My Chevy Silverado EV's 240-Volt Outlet Using A Special Adapter, Achieving 6 kW Charging Speed Between Electric Vehicles

The romantic notion of the open road has always been defined by self-reliance, the ability to push on regardless of the circumstances. In the new electric age, that spirit of independence is being ...
Mashable

Elon Musk's X rolls out pay-per-use API to lure developers back, but there's one big problem

X has announced a new pay-per-use self-serve API model in hopes of luring developers back to the platform. Credit: Gabby Jones/Bloomberg via Getty Images Good news! Elon Musk's X has heard the cries ...
IEEE

Fine-Tuned YOLO Model for Monitoring Children Across Medical Scenes Based on a Large-Scale Real-World Dataset for Children Detection

Abstract: Accurate detection and monitoring of children in medical settings using computer vision systems present unique challenges due to anatomical differences, environmental complexity, and ...
IEEE

AI-based Predictive and Optimal Control for Microgrid Energy Management: Design and Implementation

Abstract: In this paper, an AI-powered Energy Management System (AI-EMS) for residential MGs with solar PV generation and battery storage is developed. To this end, the proposed system utilizes a long ...