Micron technology, inc. (20240256869). COOPERATIVE LEARNING NEURAL NETWORKS AND SYSTEMS simplified abstract

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COOPERATIVE LEARNING NEURAL NETWORKS AND SYSTEMS

Organization Name

micron technology, inc.

Inventor(s)

Fa-Long Luo of San Jose CA (US)

Tamara Schmitz of Scotts Valley CA (US)

Jeremy Chritz of Seattle WA (US)

Jaime Cummins of Bainbridge Island WA (US)

COOPERATIVE LEARNING NEURAL NETWORKS AND SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256869 titled 'COOPERATIVE LEARNING NEURAL NETWORKS AND SYSTEMS

    • Simplified Explanation:**

The patent application describes systems, methods, and apparatuses related to cooperative learning neural networks. These networks utilize sensor data received wirelessly from other devices to train and improve their performance.

    • Key Features and Innovation:**
  • Cooperative learning neural networks utilize sensor data from other wireless communication devices for training.
  • The networks can develop weights associated with objects or conditions at one device and transmit them to another device for training.
  • The technology can be used in various communication contexts such as machine-type communication, machine-to-machine communication, and device-to-device communication.
    • Potential Applications:**

The technology can be applied in machine learning, IoT devices, autonomous systems, and various other fields where collaborative learning is beneficial.

    • Problems Solved:**

This technology addresses the need for efficient and collaborative learning in neural networks, enabling devices to learn from each other's data and improve their performance.

    • Benefits:**
  • Enhanced learning capabilities for neural networks.
  • Improved efficiency and accuracy in training models.
  • Facilitates collaboration and knowledge sharing between devices.
    • Commercial Applications:**

Potential commercial applications include smart devices, autonomous vehicles, industrial automation, and healthcare systems, where collaborative learning can enhance performance and efficiency.

    • Questions about Cooperative Learning Neural Networks:**

1. How do cooperative learning neural networks differ from traditional neural networks? 2. What are the key advantages of using sensor data from other devices for training neural networks?


Original Abstract Submitted

systems, methods, and apparatuses related to cooperative learning neural networks are described. cooperative learning neural networks may include neural networks which utilize sensor data received wirelessly from at least one other wireless communication device to train the neural network. for example, cooperative learning neural networks described herein may be used to develop weights which are associated with objects or conditions at one device and which may be transmitted to a second device, where they may be used to train the second device to react to such objects or conditions. the disclosed features may be used in various contexts, including machine-type communication, machine-to-machine communication, device-to-device communication, and the like. the disclosed techniques may be employed in a wireless (e.g., cellular) communication system, which may operate according to various standardized protocols.

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