The vision of Ambient AI in smart homes promises an intelligent system that understands and adapts to its occupants. Despite ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

For all their technological brilliance, from navigating distant planets to performing complex surgery, robots still struggle ...

ReferGPT introduces a novel approach to language-guided 3D multi-object tracking by integrating CLIP vision-language understanding, Large Language Models (LLMs), and Vision-Language Models (VLMs) for ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of ...

Background: Eye-tracking technology has proven to be a valuable tool in detecting visual scanning patterns associated with autism spectrum disorder (ASD). Its advantages in easily obtaining reliable ...