A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...

New automated system speeds up breeding pest-resistant crops. It uses a robotic microscope & computer vision to count spider ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

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 ...

In a lab rack that looks more like a high-end audio system than a server, clusters of human brain cells are quietly learning ...

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

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Machine vision technology is being used for a robotic weed management system that avoids the environmental effects of herbicides and fills the agricultural labour gap.<br /><br /> ...

Microsoft Corp. today showcased its vision of an agentic artificial intelligence future for everyday consumers with the launch of its newest model Fara-7B, which can run locally on personal computers ...