What began as a stack of fragile, century-old mine maps is being transformed into an immersive 3D window into the past by ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

The 1967 Ford Mustang GT arrived at a moment when American culture was learning to speak in the language of speed, style, and ...

The prospect of an AI investment crash in 2026 is no longer a fringe worry in tech circles, and for working artists it is ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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 ...

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

The AI Fairness and Explainability Toolkit is an open-source platform designed to evaluate, visualize, and improve AI models with a focus on fairness, explainability, and ethical considerations.

Abstract: Machine learning has been integrated into numerous applications and has emerged as one of the most transformative technologies in our daily lives. In recent years, the number of individuals ...

Abstract: Landslides are one of the most destructive natural disasters in the world, threatening human life and safety. With excellent performance as a foundation model for image segmentation, the ...

CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...