IEEE

LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models

Abstract: Human activity detection plays a vital role in applications such as healthcare monitoring, smart environments, and security surveillance. However, traditional methods often rely on ...

Biology-inspired brain model matches animal learning and reveals overlooked neuron activity

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Study Finds

Mold Hiding In Your Walls? Scientists Develop Electronic ‘Nose’ That Can Detect It In Minutes

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

Just 5 minutes of training makes fake AI faces easier to spot

Five minutes of training can significantly improve people's ability to identify fake faces created by artificial intelligence ...
IEEE

Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

Abstract: This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and ...
Kellogg School of Management

Northwestern Innovation Institute launches international prize celebrating human-machine partnerships

The Northwestern Innovation Institute (NI Institute) at Northwestern University's Kellogg School of Management today announced the Northwestern Innovation Prize for Human-Machine Partnership (NI Prize ...