Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough. Modern manufacturers ...

This project implements a comprehensive ML pipeline to predict sepsis risk using clinical indicators. It provides both a command-line training interface and a web-based prediction interface for ...

An intelligent, AI-powered system for real-time pothole detection using YOLOv4-Tiny, capable of identifying and categorizing road damages based on severity. The system processes live video feeds, ...

Abstract: Road safety is a serious issue, and the early detection of road hazards like potholes and speed breakers are crucial in minimizing accidents and reducing vehicle damage. This paper presents ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Abstract: One major cause of vehicle damage, traffic disruption and accidents are road degradation through potholes. Traditionally, detecting and repairing potholes is very labor intensive and ...