Technology search and repurposing system and related methods
View Patent ↗A technology search and repurposing system comprising a query processing system, one or more intelligent systems, a response generator, machine learning (ML) powered navigator, and a curated database. Together these elements describe a system that doubles as a system to produce new technology-problem designs and as a system/method to curate a unique kind of data. The data itself may be used to build a new kind of AI that makes it possible to search technology by intent.
1 . A method for curating a technology database, comprising:
receiving an input query from a user;
applying an exploration process to said input query, said exploration process resulting in a systematic compilation of data;
applying an artificial intelligence development process to said systematic compilation of data, said artificial intelligence development process including the steps of:
sorting a first group of said systematic compilation of data into a curated, augmented database of technologies, problems, and analytes for technology repurposing an combinatorial innovation;
sorting a second group of said systematic compilation of data through a writing process and into a narrated technology impact database;
performing artificial intelligence/machine learning development, said artificial intelligence/machine learning development comprising:
training of intelligent retrieval and verification algorithms; and
training of intelligent language learning models and other NLP algorithms;
wherein a first outcome is one or more curated, augmented, and validated technology database.
2 . The method of claim 1 , wherein the input query is a technology, problem, or a hunch.
3 . The method of claim 1 , wherein said outcome is a curated database.
4 . The method of claim 1 , wherein the outcome is a new artificial intelligence model.
5 . The method of claim 1 , wherein the outcome is one or more tested technology-problem designs.
6 . The method of claim 1 , wherein a second outcome is generation and/or training of machine learning navigators.
7 . The method of claim 1 , wherein a second outcome is generation and/or training of artificial intelligence models to access, retrieve, or generate technologies by intent.
8 . The method of claim 7 , wherein the artificial intelligence models are fine-tuned to a specific task.
9 . The method of claim 7 , wherein the artificial intelligence models are configured to perform generic tasks.
10 . The method of claim 1 , wherein the writing process comprising generating one or more fictional stories comprising a narrative about using technology or fragments of technology within said second group of systematic compilation of data in a new manner.
11 . The method of claim 1 , wherein the writing process further includes the steps of:
sampling elements from exploration data;
outline key elements of a story;
write the narrative;
verify the story includes basic story elements;
augment story with relevant meta-data from the curated database; and
performing a quality control process on said verified, augmented story.