Unknown Organization (20240331334). PHOTONIC-CONTROLLED CROSSBAR FOR CONVOLUTION OPERATIONS IN NEUROMORPHIC MACHINE VISION simplified abstract
Contents
- 1 PHOTONIC-CONTROLLED CROSSBAR FOR CONVOLUTION OPERATIONS IN NEUROMORPHIC MACHINE VISION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PHOTONIC-CONTROLLED CROSSBAR FOR CONVOLUTION OPERATIONS IN NEUROMORPHIC MACHINE VISION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Optical Synapse Devices
- 1.13 Original Abstract Submitted
PHOTONIC-CONTROLLED CROSSBAR FOR CONVOLUTION OPERATIONS IN NEUROMORPHIC MACHINE VISION
Organization Name
Inventor(s)
Baizhou Zhang of Kitchener (CA)
Y. Norman Zhou of Waterloo (CA)
PHOTONIC-CONTROLLED CROSSBAR FOR CONVOLUTION OPERATIONS IN NEUROMORPHIC MACHINE VISION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331334 titled 'PHOTONIC-CONTROLLED CROSSBAR FOR CONVOLUTION OPERATIONS IN NEUROMORPHIC MACHINE VISION
Simplified Explanation
The patent application describes an optical synapse device for use in a neuromorphic machine vision system, enabling fast data processing in applications like real-time video analysis, autonomous vehicles, and medical diagnosis.
- Enables image sensing, convolutional processing, and computing.
- Implements photonic computing and information transmission through synaptic plasticity triggered by photons.
- Realizes convolutional processing with ultra-low energy kernel generators controlled by photons.
- Shows conductance modulations under electronic stimulations for neuromorphic computing.
- Enables front-end image sensing, convolutional processing, and back-end neuromorphic computing.
Key Features and Innovation
- Optical synapse device for neuromorphic machine vision systems.
- Broadband sensing and fast data processing capabilities.
- Implementation of photonic computing and information transmission.
- Ultra-low energy kernel generators for convolutional processing.
- Conductance modulations for neuromorphic computing.
Potential Applications
The technology can be applied in:
- Real-time video analysis.
- Autonomous vehicles.
- Medical diagnosis.
- Robotics.
- Surveillance systems.
Problems Solved
The technology addresses:
- Slow data processing in machine vision systems.
- Limited bandwidth in traditional image sensing devices.
- High energy consumption in convolutional processing.
- Lack of efficient neuromorphic computing solutions.
- Inability to integrate image sensing, processing, and computing in a single device.
Benefits
- Faster data processing.
- Broadband sensing capabilities.
- Energy-efficient convolutional processing.
- Integration of image sensing, processing, and computing.
- Enhanced performance in machine vision applications.
Commercial Applications
Title: Optical Synapse Device for Neuromorphic Machine Vision Systems This technology has potential commercial uses in:
- Manufacturing of machine vision systems.
- Development of autonomous vehicles.
- Medical imaging equipment.
- Surveillance technology.
- Research and development in artificial intelligence.
Prior Art
Further research can be conducted in the field of optical synapse devices, neuromorphic computing, and photonic computing to explore existing technologies and innovations.
Frequently Updated Research
Stay updated on advancements in optical synapse devices, neuromorphic computing, and photonic computing to understand the latest developments in the field.
Questions about Optical Synapse Devices
What are the key advantages of using optical synapse devices in machine vision systems?
Optical synapse devices offer fast data processing, broadband sensing, and energy-efficient computing capabilities, making them ideal for applications requiring real-time analysis and high-speed processing.
How do optical synapse devices compare to traditional electronic synapse devices in terms of performance and efficiency?
Optical synapse devices have the advantage of lower energy consumption, faster processing speeds, and the ability to integrate image sensing, processing, and computing functions in a single device, making them more efficient for neuromorphic machine vision systems.
Original Abstract Submitted
an optical synapse device which can be used in a neuromorphic machine vision system to enable broadband sensing and fast data processing in applications where machine vision is used, such as for example in real-time video analysis, autonomous vehicles and medical diagnosis. the novel optical synapse device enables image sensing, convolutional processing, and computing. multiple synaptic plasticity triggered by photons can implement photonic computing and information transmission. convolutional processing is realized by ultra-low energy kernel generators fully controlled by photons. the optical synapse device shows the ability of conductance modulations under electronic stimulations that implement neuromorphic computing. the novel two-terminal broadband optoelectronic synapse device enables front-end retinomorphic image sensing, convolutional processing, and back-end neuromorphic computing.
