Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

We have long been fascinated with our own image. In the 1920s play Rossum’s Universal Robots, Czech writer Karel Čapek coined the term robot to describe human-looking creatures forced to work in ...

Everything new about the revamped Apple Vision Pro can fit in a single sentence: It has a far faster and more efficient M5 chip, it comes with a more comfortable Dual Knit Band and its display looks ...

Two Sydney PhD students have pulled off a remarkable space science feat from Earth—using AI-driven software to correct image blurring in NASA’s James Webb Space Telescope. Their innovation, called ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. How do computers see the world? It’s ...

This image from the NASA/ESA/CSA James Webb Space Telescope revisits one of the most iconic regions of the sky, the Hubble Ultra Deep Field, through the eyes of two of Webb's instruments. The result ...

Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...

Abstract: Soil moisture monitoring is crucial for optimizing irrigation practices and enhancing crop productivity in agriculture. Traditional methods using sensors have limitations in terms of cost, ...

First, it’s important we take a step back and view computer vision from the broader hierarchy of AI. This structure starts with the foundation of AI at its base and works its way up through machine ...