Micron Technology, Inc. (20240280813). Augmented Reality Devices with Passive Neural Network Computation simplified abstract

From WikiPatents
Jump to navigation Jump to search

Augmented Reality Devices with Passive Neural Network Computation

Organization Name

Micron Technology, Inc.

Inventor(s)

Saideep Tiku of Folsom CA (US)

Shashank Bangalore Lakshman of Folsom CA (US)

Poorna Kale of Folsom CA (US)

Augmented Reality Devices with Passive Neural Network Computation - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240280813 titled 'Augmented Reality Devices with Passive Neural Network Computation

The abstract describes an augmented reality device that includes a pair of glasses and an artificial neural network partially implemented via a passive neural network and partially implemented via digital circuits. The device processes image lights from a scene in the glasses' view to generate a light pattern, which is converted into data representing outputs of artificial neurons. A processor performs computations on a second set of artificial neurons, and a digital accelerator accelerates multiplication and accumulation operations on weight matrices.

  • Pair of glasses with augmented reality capabilities
  • Artificial neural network partially implemented through passive neural network and digital circuits
  • Processing of image lights to generate a light pattern
  • Conversion of light pattern into data representing artificial neurons' outputs
  • Computation on a second set of artificial neurons by a processor
  • Acceleration of multiplication and accumulation operations on weight matrices by a digital accelerator

Potential Applications: - Augmented reality gaming - Medical imaging and diagnostics - Industrial maintenance and repair - Navigation and wayfinding assistance - Educational tools for interactive learning

Problems Solved: - Enhanced visualization and data processing in real-time - Improved user experience in various applications - Efficient computation and acceleration of operations - Seamless integration of artificial intelligence in wearable devices

Benefits: - Enhanced user experience with augmented reality - Faster processing and computation capabilities - Improved accuracy and reliability in data interpretation - Potential for innovative applications in various industries

Commercial Applications: Title: "Augmented Reality Glasses with Advanced Neural Network Technology" This technology can be utilized in industries such as gaming, healthcare, manufacturing, navigation, and education. Companies can develop innovative products and services that leverage the advanced capabilities of this augmented reality device.

Questions about the technology: 1. How does the passive neural network enhance the processing of image lights in the augmented reality device? 2. What are the potential implications of using a digital accelerator for accelerating operations in the artificial neural network?


Original Abstract Submitted

an augmented reality device having a pair of glasses and an artificial neural network partially implemented via a passive neural network and partially implemented via digital circuits. the passive neural network can process image lights representative of a scene in a view of the pair of glasses to generate a light pattern. an array of light sensing pixels can convert the light pattern into data representative of outputs of a first set of artificial neurons of the artificial neural network. a processor can execute instructions to perform computations of a second set of artificial neurons of the artificial neural network responsive to the outputs of the first set of artificial neurons. a digital accelerator can accelerate multiplication and accumulation operations applied on weight matrices of the second set of artificial neurons.