17717339. NEUROMORPHIC COMPUTING DEVICE AND METHOD OF OPERATING THE SAME simplified abstract (Samsung Electronics Co., Ltd.)

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NEUROMORPHIC COMPUTING DEVICE AND METHOD OF OPERATING THE SAME

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Youngnam Hwang of Hwaseong-si (KR)

NEUROMORPHIC COMPUTING DEVICE AND METHOD OF OPERATING THE SAME - A simplified explanation of the abstract

This abstract first appeared for US patent application 17717339 titled 'NEUROMORPHIC COMPUTING DEVICE AND METHOD OF OPERATING THE SAME

Simplified Explanation

The abstract describes a neuromorphic computing device and a method of controlling it. Here are the key points:

  • The device includes a first memory cell array with resistive memory cells that store data and generate read currents based on input signals.
  • It also includes a second memory cell array with reference resistive memory cells that generate reference currents.
  • An analog-to-digital converting circuit converts the read currents into digital signals using the reference currents.
  • The reference resistive memory cells are arranged in columns to form reference columns, and these columns generate column currents.
  • One of the reference currents is generated by averaging at least two of the column currents.

Potential applications of this technology:

  • Neuromorphic computing: The device can be used for neuromorphic computing tasks, which aim to mimic the structure and function of the human brain in artificial systems.
  • Artificial intelligence: The device can be applied in AI systems, enabling efficient and accurate processing of large amounts of data.
  • Pattern recognition: The technology can be used for tasks such as image and speech recognition, where complex patterns need to be identified.

Problems solved by this technology:

  • Energy efficiency: The use of resistive memory cells and reference currents allows for more efficient computation, reducing power consumption.
  • Scalability: The device can be scaled up to handle larger and more complex computing tasks, making it suitable for future advancements in AI and computing.

Benefits of this technology:

  • Faster processing: The device enables faster processing of data due to its efficient memory cell arrays and analog-to-digital converting circuit.
  • Higher accuracy: The use of reference currents improves the accuracy of the digital signals generated, leading to more reliable computations.
  • Lower power consumption: The energy-efficient design of the device helps reduce power consumption, making it environmentally friendly and cost-effective.


Original Abstract Submitted

A neuromorphic computing device a method of controlling thereof are provided. The neuromorphic computing device includes a first memory cell array including resistive memory cells that are connected to wordlines, bitlines and source lines, and configured to store data and generate read currents based on input signals and the data; a second memory cell array including reference resistive memory cells that are connected to reference wordlines, reference bitlines and reference source lines, and configured to generate reference currents; and an analog-to-digital converting circuit configured to convert the read currents into digital signals based on the reference currents, wherein a voltage is applied to the reference wordlines, the reference resistive memory cells are arranged in columns to form reference columns, and the reference columns are configured to generate column currents, and one of the reference currents is generated by averaging at least two of the column currents.

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