US Edition
Self-Powered Artificial Synapse Brings Human-Like Color Vision to Edge Devices
- Researchers at Tokyo University of Science developed a self-powered artificial synapse that emulates human vision, published on May 12, 2025.
- This innovation arose to address machine vision's challenge of processing vast visual data, which demands high power and storage, limiting edge device use.
- The device combines two dye-sensitized solar cells that convert light into electricity and allow it to distinguish colors with a high resolution, detecting wavelength differences as small as 10 nanometers throughout the visible range.
- Extensive tests showed the system achieved 82% accuracy classifying human movements in various colors using a single device, while performing real-time logical operations.
- This technology has the potential to enable energy-efficient visual processing for compact devices such as mobile phones, autonomous cars, and health monitoring sensors, advancing both power conservation and the sustainability of electronic gadgets.
14 Articles
14 Articles
Scientists Create an Artificial Eye That Could Give AI Human-Like Sight
Japanese researchers took inspiration from our eyes, creating an artificial retina that could give today's power-hungry machine vision systems a major upgrade. The post Scientists Create an Artificial Eye That Could Give AI Human-Like Sight appeared first on Study Finds.
Polarity-tunable dye-sensitized optoelectronic artificial synapses for physical reservoir computing-based machine vision
Conventional machine vision systems process huge time-series data per second, presenting significant challenges for edge-device applications due to limitations in data transfer and storage. Inspired by the human visual system, artificial optoelectronic synapses replicating synaptic responses have emerged as promising solutions. However, achieving color recognition comparable to human vision remains challenging. Moreover, most optoelectronic arti…
Science Daily
Space DailySelf-powered artificial synapse mimics human color vision
Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes colors with high resolution across the visible spectrum, approaching human eye capabilities. The device, which integrates dye-sensitized solar cells, generates its electricity and can perform complex logi…
Similar to the eye: Japanese researchers developed self-sufficient artificial synapses that distinguish colors with 10-nanometer precision.
Self-Powered Synapse Brings Human-Like Vision to AI Devices
Researchers have developed a self-powered artificial synapse capable of color recognition with near-human precision. Unlike traditional systems that demand external energy and massive data processing, this device mimics biological vision and generates its own electricity using solar cells.
Coverage Details
Bias Distribution
- 100% of the sources are Center
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage
