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

Tesla is leaning hard into its robotaxi story again, splashing the Cybercab across marketing channels and product pages just ...

MayimFlow, the Built World stage winner at this year’s TechCrunch Disrupt, is a good example. The startup is focused on ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Abstract: Visual sensors are essential for the perception systems of autonomous vehicles (AVs) and for ensuring driving safety. While data-driven perception methods perform well in common scenes, they ...

Purdue researchers are building AI-powered air-ground robots that can navigate and collaborate in GPS-denied military terrain ...

Abstract: We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea ...

Artificial intelligence is revolutionizing waste management. AI-powered robots sort waste with high accuracy, improving ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

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 ...