Wave Interaction Processor for Autonomous Learning

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Solution Overview

Problem

Current processing systems lack the ability to autonomously learn, recall, and act on complex information inputs, particularly in real-time, and struggle with creating new associations across diverse data types and environments.

Innovation Solution

A Wave Interaction Processor that utilizes waves to select and process locations for information processing, enabling associations between different types of information waves and allowing for autonomous learning, recall, and coordinated movements, with capabilities for extensive knowledge base integration, text mining, image processing, and control of mechanical or prosthetic limbs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If conventional processing systems are used, then processing operations can be performed based on hardware or software instructions, but the systems lack the ability to autonomously learn, recall, and act on complex information inputs in real-time

Engineering Contradiction:
Improveautonomous processingVSAvoidprocessing system complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The patent replaces conventional mechanical/digital processing systems with a wave-based processing system. Waves containing information interact physically to select processing locations, enabling autonomous learning and real-time decision-making without traditional hardware or software instruction execution

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces waves as an intermediary medium between information inputs and processing operations. These waves carry information and interact to determine processing locations, serving as a mediator that enables autonomous processing while managing system complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If conventional systems process information sequentially, then processing can be controlled, but the systems struggle with creating new associations across diverse data types and environments

Engineering Contradiction:
Improveassociation capabilityVSAvoidprocessing speed
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent uses wave interactions (analogous to mechanical vibration principles) where waves containing different types of information physically interact and interfere with each other. This enables simultaneous processing and creation of associations across diverse data types while maintaining high processing speeds through parallel wave-based operations

Inventive Principle:
Principle #18Mechanical vibration

3Reliability

If extensive knowledge bases are integrated for learning and application, then the system can perform text mining and image processing, but the system requires significant processing power and memory resources

Engineering Contradiction:
Improvelearning capabilityVSAvoidprocessing resource consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent replaces energy-intensive conventional processing with wave-based interactions that naturally perform association and pattern recognition through physical wave interference, reducing computational resource consumption while maintaining learning and processing capabilities

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11468309B1Wave interaction processor
Publication Date: 2022.10.11 ADAN MIGUEL ALBERTO
  • US11468309B1 patent drawing
  • US11468309B1 patent drawing
  • US11468309B1 patent drawing

AI summary

Methods, machines and systems for processing information are disclosed in which waves containing information select locations for processing (46). Associations between information containing waves may be made and recalled. In some embodiments information containing waves or sequences may be output as visual, auditory, tactile, motion, data or other forms. Software embodiments of the described mechanism are also included.