 | Mind AI (ONE) |
Mind AI is an artificial intelligence engine and an ecosystem that was created to offer an entirely new approach to AI.
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What is Mind AI
Mind learns how to perform certain verity checks on its own, or which techniques it can apply at a future time when faced with similar challenges. The core concepts within its upper ontology (if not also other, perhaps mid-level ontologies) need the ability to critique information being input.
Mind neural networks are made to resemble the operation of neurons and the neural circuitry in the human brain.
The context of any data Mind work with is intrinsic in the fundamental definition of information Mind have outlined.
Mind holds the profile and history of the users specifics, and is used to help contextualize information as it pertains to that user.
Mind AI Roadmap
-Define use of basic verbs in different grammatical situations
-Develop Mind AIs understanding of basic verbs from Cambridge texts plus use of supporting information
-Accumulate ontologies for basic "person" objects (e.g. I, you, he/she/them)
-Define ontology collection methods
-Define use of basic verbs in different grammatical situations
-Accumulate ontologies for basic "people", "at home", "school and workplace", and "leisure", using vocabulary from Cambridge text
-Milestone: Have Mind AI read and display basic? comprehension of the book: The Little Prince
-Accumulate ontologies for "the world" and "social issues" using vocabulary from Cambridge
-Begin building off-chain ontology database and preliminary ecosystem
-Devise an interoperability model for the Mind ecosystem
-Milestone: Have Mind AI read and display advanced comprehension of the book: The Little Prince
-Milestone: Have Mind AI read and display basic comprehension of the book: Brave New World
-Milestone: Accumulate 3,000 words in the ontological repository
-Begin rolling out Mind AI API to selected partners
-Develop Mind AIs capability of making simple logical leaps that is implied in domain knowledge but is not specifically outlined in insturctions
-Launch Mind ecosystem private alpha, testing end-to-end ecosystem processes with selected partners
-Milestone: Read and comprehend arbitrary Wikipedia article
-Milestone: Educate the Mind AI with instruction manuals? in natural language, and have it follow the course of action from instructions to solve simple domain specific problems
-Add another 600 words into the ontological repository
-Break down existing 1,500 ontologies into more fundamental units and additional contexts for a deeper understanding
-Open Mind AI API access to public
-Launch private beta of the Mind ecosystem
-Develop resolution models for complex synonymies
-Provide cross-domain reasoning to those who apply for this functionality
-Add another 600 words into the ontological repository
-Break down existing 1,500 ontologies into more fundamental units and additional contexts for a deeper understanding
-Provide ontology services in the Mind ecosystem: creation, validation, and versioning
-Open Mind ecosystem to general public
-Add another 600 words into the ontological repository
-Begin crowdsourcing domain level ontology with gamified UI and reward system
-Roll out API in other languages (Spanish and Korean) for select partners
-Open Critical Mass extensions to general public
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