Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space

Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space

Physics, Optics, Information Science, Automation, Artificial Intelligence,
stereoscopic vision   artificial compound eyes   three-dimensional space   edge computing   biomimetics  

Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space This research article was published on May 15, 2024, in the journal Science Robotics, titled “Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space.” The first author is Byungjoon Bae, and the corresponding author ...

Real-World Humanoid Locomotion with Reinforcement Learning

Real-World Humanoid Locomotion with Reinforcement Learning

Information Science, Automation, Artificial Intelligence,
humanoid robot   reinforcement learning   robot locomotion   environment adaptation   causal transformer   external disturbance   domain randomization  

Real-World Humanoid Robot Walking Based on Reinforcement Learning Background Introduction Humanoid robots have enormous potential for autonomous operation in diverse environments, not only alleviating labor shortages in factories but also assisting elderly people at home and exploring new planets. Although classical controllers show excellent effec...

An Ultrawide Field-of-View Pinhole Compound Eye Using Hemispherical Nanowire Array for Robot Vision

An Ultrawide Field-of-View Pinhole Compound Eye Using Hemispherical Nanowire Array for Robot Vision

Physics, Optics, Information Science, Automation, Artificial Intelligence,
pinhole compound eye   robot vision   hemispherical nanowire   wide field of view   target tracking  

Ultra-wide Field-of-view Pinhole Compound Eye Based on Hemispherical Nanowire Array for Robotic Vision In the rapid development of contemporary artificial intelligence and robotics technology, the visual system, as a crucial component, has attracted widespread attention and in-depth research. According to a research paper published by Zhou et al. o...

Multi-Template Meta-Information Regularized Network for Alzheimer’s Disease Diagnosis Using Structural MRI

Multi-Template Meta-Information Regularized Network for Alzheimer’s Disease Diagnosis Using Structural MRI

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Alzheimer’s disease   multi-template   meta-information   mutual information   MRI   disease diagnosis  

Multi-template Meta-information Regularized Network for Alzheimer’s Disease Diagnosis: A Study Based on Structural MRI Research Background Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder, and its diagnosis and early detection is a significant challenge in the medical field. Structural MRI (sMRI) is widely used in computer-aided...

Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstruction

Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstruction

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Low Dose CT   Noise-Generating Mechanism   Implicit Regularization   Full-Domain Optimization   Deep Learning  

Application of Implicit Regularization Learning Network Based on Noise Generation and Imaging Mechanisms in Low-Dose CT Reconstruction Low-Dose Computed Tomography (LDCT) has become an important tool in modern medical imaging, aiming to reduce radiation risks while maintaining image quality. However, reducing the X-ray dose often leads to data corr...

Unsupervised Fusion of Misaligned PAT and MRI Images via Mutually Reinforcing Cross-Modality Image Generation and Registration

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Photoacoustic Tomography   Magnetic Resonance Imaging   Image Fusion   Multimodal Registration   Deep Learning  

Unsupervised Fusion of Unaligned PAT and MRI Images Using Mutually Enhancing Cross-Modality Image Generation and Registration Methods Background and Research Objectives In recent years, photoacoustic tomography (PAT) and magnetic resonance imaging (MRI) have been widely used in preclinical research as cutting-edge biomedical imaging techniques. PAT...