5 Leadership Questions To Scale AI Without Losing Trust

A practical board-ready checklist to help leaders scale AI responsibly—protecting stakeholder trust while driving innovation ...
DataBreachToday

AI in Cybersecurity: How It's Actually Being Used Today

AI is reshaping cybersecurity on both sides of the battlefield. While attackers use it to scale threats, defenders are using ...
IEEE

An Ultrasonic-based Metrological Approach for Fall Detection and User recognition using Supervised and Unsupervised Machine Learning Techniques

Abstract: The rapid aging of the world’s population has increased the demand for innovative fall detection systems to ensure the safety and well-being of older people. Falls represent a major health ...
IEEE

Continuous Wearable-based Fall Detection using Tiny Machine Learning

Abstract: Falls among the elderly pose a significant threat to their health, causing physical trauma, psychological issues, and increasing healthcare costs. This paper presents a wearablebased fall ...
GitHub

STM32-Based Elderly Fall Detection and Health Monitoring System

This project implements a remote elderly health monitoring and fall detection system based on the STM32F103C8T6 microcontroller. The system integrates multiple sensors to monitor the physiological ...
GitHub

Sepsis Detection using Machine Learning

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 ...