Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by ...

This study used pupillometry to provide an objective assessment of a form of synesthesia in which people see additional color when reading numbers. It provides convincing evidence that subjective ...

Eight million deepfakes were shared online in 2025. Here are the best tools — free and paid — to detect them before you get fooled.

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

A flexible electronic skin inspired by shark electroreception lets robotic hands identify object shapes and materials through both non-contact electrostatic scanning and touch-based sensing.

Abstract: Quantum neural networks (QNNs) are gaining attention as a promising foundation for next-generation machine learning. However, the practical deployment of QNNs, particularly in vision tasks, ...

Abstract: We conducted an in-depth investigation into the impact of Conditional Variational Autoencoders (CVAE) and Bayesian Neural Networks (BNN) on high dynamic range (HDR) image reconstruction. A ...

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...