AI Biographic Data Chaining for Memory Reconstruction

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Solution Overview

Problem

Individuals face challenges in remembering and reconstructing life events, as memories fade and become tangled, making it difficult to recall who was present at specific moments.

Innovation Solution

A system and method using artificial intelligence to chain biographic inputs by parsing initial inputs to retrieve key elements, retrieving related stored data, evaluating relationships, and generating requests for additional inputs to create a connected narrative of life events.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual memory reconstruction is used to recall life events, then personal memory can be preserved, but accuracy and completeness deteriorate over time as memories fade and become tangled

Engineering Contradiction:
Improvememory accuracyVSAvoidtime elapsed since event
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary action by capturing biographic data at the time of life events through multiple inputs (user inputs, social media data, photos, videos). This preliminary capture creates a structured foundation that can be later reconstructed without relying on fading human memory, directly addressing the information loss problem over time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary system consisting of AI algorithms and structured databases that mediate between raw biographic data and final memory reconstruction. This intermediary processes, organizes, and chains data elements together, replacing direct human memory recall with an automated system that maintains accuracy regardless of time elapsed.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If detailed biographic data is collected to improve memory reconstruction accuracy, then completeness of life event documentation improves, but system complexity increases

Engineering Contradiction:
Improvebiographic information completenessVSAvoiddata processing system complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system segments biographic data into distinct chainable elements such as users, events, locations, timestamps, and media files. Each element can be independently captured, stored, and processed. This segmentation allows comprehensive data collection while managing complexity through modular organization, where each segment can be handled separately by specific AI algorithms.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements a universal data structure and processing framework that handles multiple types of biographic inputs (text, photos, videos, social media data) through a common chaining mechanism. This multi-functional approach consolidates complexity into a single versatile system rather than requiring separate processing paths for each data type.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If AI algorithms are used to automatically chain biographic inputs, then time required for memory reconstruction is reduced, but computational resources and processing time increase

Engineering Contradiction:
Improvememory reconstruction speedVSAvoidcomputational energy consumption
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary action by pre-processing and structuring biographic data during the capture phase, organizing it into chainable elements with defined relationships. This preliminary organization reduces the computational burden during reconstruction, as the AI algorithms work with pre-structured data rather than raw unorganized information, balancing speed with energy efficiency.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12210573B2Methods and systems for chaining biographic inputs using artificial intelligence
Publication Date: 2025.01.28 VAN BOCHOVE GUTIERREZ HILLEGONDA HENDRIKA
  • US12210573B2 patent drawing
  • US12210573B2 patent drawing
  • US12210573B2 patent drawing

AI summary

A system for chaining biographic inputs using artificial intelligence includes a computing device, a biographic parameter module operating on the computing device wherein the biographic parameter module is configured to receive a first biographic input wherein the first biographic input identifies a user; parse the first biographic input to retrieve a key element; and retrieve an element of stored data relating to the key element wherein the element of stored data further comprises a plurality of biographic inputs; and a chaining module, the transmission module configured to receive the first biographic input and the element of stored data from the biographic parameter module; evaluate the first biographic input and the element of stored data to determine a relation between the first biographic input and the element of stored data; and chain the first biographic input and the element of stored data.