AIMC Topic: Vision, Ocular
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A multimodal virtual vision platform as a next-generation vision system for a surgical robot.
Medical & biological engineering & computing
Feb 2, 2024
Robot-assisted surgery platforms are utilized globally thanks to their stereoscopic vision systems and enhanced functional assistance. However, the necessity of ergonomic improvement for their use by surgeons has been increased. In surgical robots, i...
Monolithic 2D Perovskites Enabled Artificial Photonic Synapses for Neuromorphic Vision Sensors.
Advanced materials (Deerfield Beach, Fla.)
Feb 1, 2024
Neuromorphic visual sensors (NVS) based on photonic synapses hold a significant promise to emulate the human visual system. However, current photonic synapses rely on exquisite engineering of the complex heterogeneous interface to realize learning an...
Nanomaterial-Based Artificial Vision Systems: From Bioinspired Electronic Eyes to In-Sensor Processing Devices.
ACS nano
Jan 2, 2024
High-performance robotic vision empowers mobile and humanoid robots to detect and identify their surrounding objects efficiently, which enables them to cooperate with humans and assist human activities. For error-free execution of these robots' tasks...
Statistical prediction alone cannot identify good models of behavior.
The Behavioral and brain sciences
Dec 6, 2023
The dissociation between statistical prediction and scientific explanation advanced by Bowers et al. for studies of vision using deep neural networks is also observed in several other domains of behavior research, and is in fact unavoidable when fitt...
Neural networks need real-world behavior.
The Behavioral and brain sciences
Dec 6, 2023
Bowers et al. propose to use controlled behavioral experiments when evaluating deep neural networks as models of biological vision. We agree with the sentiment and draw parallels to the notion that "neuroscience needs behavior." As a promising path f...
Hierarchies in Visual Pathway: Functions and Inspired Artificial Vision.
Advanced materials (Deerfield Beach, Fla.)
Nov 30, 2023
The development of artificial intelligence has posed a challenge to machine vision based on conventional complementary metal-oxide semiconductor (CMOS) circuits owing to its high latency and inefficient power consumption originating from the data shu...
Toward biologically plausible artificial vision.
The Behavioral and brain sciences
Sep 28, 2023
Quilty-Dunn et al. argue that deep convolutional neural networks (DCNNs) optimized for image classification exemplify structural disanalogies to human vision. A different kind of artificial vision - found in reinforcement-learning agents navigating a...
Extreme Early Image Recognition Using Event-Based Vision.
Sensors (Basel, Switzerland)
Jul 6, 2023
While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. Un...
Canonical circuit computations for computer vision.
Biological cybernetics
Jun 12, 2023
Advanced computer vision mechanisms have been inspired by neuroscientific findings. However, with the focus on improving benchmark achievements, technical solutions have been shaped by application and engineering constraints. This includes the traini...
Computer Vision in Human Analysis: From Face and Body to Clothes.
Sensors (Basel, Switzerland)
Jun 6, 2023
For decades, researchers of different areas, ranging from artificial intelligence to computer vision, have intensively investigated human-centered data, i [...].
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