Pattern recognition utilizing a nanotechnology-based neural network

• US 7,107,252 B2
• Filed: 01/31/2005
• Issued: 09/12/2006
• Est. Priority Date: 03/12/2002
• Status: Expired due to Term

• Current Assignee: Knowm Tech LLC
• Original Assignee: Knowm Tech LLC
• Inventors: Nugent, Alex
• Primary Examiner(s): DAVIS, GEORGE B
• Application Number:
  US11/045,564
• Publication Number:
  US 20050149464A1
• Time in Patent Office: 589 Days
• Field of Search: 706/15, 705/15
• US Class Current: 706/15
• CPC Class Codes: B82Y 10/00 Nanotechnology for information processing, storage or transmission, e.g. quantum computing or single electron logic
• CPC Class Codes: G06N 3/063 using electronic means
• CPC Class Codes: Y10S 977/932 for electronic or optoelectronic application

Abstract

A pattern recognition system, comprising a neural network formed utilizing nanotechnology and a pattern input unit, which communicates with the neural network, wherein the neural network processes data input via the pattern input unit in order to recognize data patterns thereof. Such a pattern recognition system can be implemented in the context of a speech recognition system and/or other pattern recognition systems, such as visual and/or imaging recognition systems.

Claims

1. A pattern recognition system, comprising:

a neural network based on nanotechnology, wherein said neural network comprises a plurality of nanoconnections disposed within a solution within a connection network of said plurality of nanoconnections; and

a pattern input unit, which communicates with said neural network, wherein said neural network processes data input via said pattern input unit in order to recognize data patterns.

2. The system of claim 1 further comprising a processor that communicates with said neural network.

3. The system of claim 1 further comprising at least one memory unit for storing data processed by said neural network, wherein said at least one memory unit is associated with said pattern input unit.

4. The system of claim 1 wherein said at least one memory unit comprises Read Only Memory (ROM).

5. The system of claim 1 wherein said at least one memory unit comprises Random Access Memory (RAM).

6. The system of claim 1 wherein said pattern input unit comprise a speech input unit.

7. The system of claim 6 further comprising a Fast Fourier Transform (FFT) unit connected to said speech input unit, wherein said FFT unit communicates data to and from said neural network.

8. The system of claim 1 further comprising a Personal Digital Assistant (PDA) in which said neural network and said pattern input unit are located.

9. The system of claim 1 wherein said pattern input unit comprises a visual pattern input unit that interacts with said neural network to recognize visual data patterns thereof.

10. The system of claim 1 wherein said pattern input unit comprises an imaging input that interacts with said neural network to recognize imaging data patterns.

11. A pattern recognition system, comprising:

a neural network based on nanotechnology, wherein said neural network comprises a plurality of nanoconnections disposed within a solution within a connection network of said plurality of nanoconnections;

a processor that communicates with said neural network;

a pattern input unit, which communicates with said neural network, wherein said neural network processes data input via said pattern input unit in order to recognize data patterns; and

at least one memory unit for storing data processed by said neural network, wherein said at least one memory unit is associated with said pattern input unit.

12. The system of claim 11 wherein said pattern input unit comprise a speech input unit.

13. The system of claim 12 further comprising a Fast Fourier Transform (FFT) unit connected to said speech input unit, wherein said FFT unit communicates data to and from said neural network.

14. The system of claim 11 wherein said pattern input unit comprises a visual pattern input unit that interacts with said neural network to recognize visual data patterns.

15. The system of claim 11 wherein said pattern input unit comprises an imaging input that interacts with said neural network to recognize imaging data patterns.

16. A pattern recognition system, comprising:

a neural network based on utilizing nanotechnology, wherein said neural network comprises a plurality of nanoconnections disposed within a solution within a connection network of said plurality of nanoconnections;

a processor that communicates with said neural network;

a pattern input unit, which communicates with said neural network, wherein said neural network processes data input via said pattern input unit in order to recognize data patterns;

at least one memory unit for storing data processed by said neural network, wherein said at least one memory unit is associated with said pattern input unit; and

a Personal Digital Assistant (PDA) in which said neural network, said processor, said pattern input unit, and said at least one memory unit are embodied.

17. The system of claim 16 wherein said pattern input unit comprise a speech input unit.

18. The system of claim 17 further comprising a Fast Fourier Transform (FFT) unit connected to said speech input unit, wherein said FFT unit communicates data to and from said neural network.

19. The system of claim 16 wherein said pattern input unit comprises a visual pattern input unit that interacts with said neural network to recognize visual data patterns.

20. The system of claim 16 wherein said pattern input unit comprises an imaging input that interacts with said neural network to recognize imaging data patterns.