КАК МЫ СОЗДАЕМ ИИ [НАСТОЯЩИЙ И ИСТИННЫЙ ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ]

Четыре тенденции Gartner Hype Cycle для поддельного искусственного интеллекта, 2021 г.: ответственный ИИ; малые и широкие подходы к данным; ввод в действие платформ ИИ; и эффективное использование данных, моделей и вычислительных ресурсов.

Мы показываем, что реальный цикл для реального ИИ, 2021-2025 гг., сжат, как показано ниже:

DNN = DL << ML << Фальшивый ИИ = Узкий ИИ << Слабый ИИ << Сильный ИИ = ОИИ << Искусственный суперинтеллект << Настоящий ИИ + Человеческий интеллект = Транс-ИИ или Мета-ИИ = DCN (Глубокие причинно-следственные сети) + Глобальный график знаний + суперкомпьютеры  

В компании Google ведутся разработки проекта Pathways, новой архитектуры нейронных сетей, которые смогут выполнять сразу множество разных задач и осваивать новые. Целью проекта является переход «от эры однозадачных моделей, которые просто распознают паттерны, к многозадачным интеллектуальным системам, которые отражают более глубинное понимание нашего мира и могут адаптироваться к новым потребностям

Google AI Pathways: A next-generation AI architecture: https://blog.google/technology...

DNNs = DL << ML << Fake AI = Narrow AI << Weak AI << Strong AI = AGI << Artificial Superintelligence << Real AI + Human Intelligence = Trans-AI or Meta-AI = DCN (Deep Causal Networks) + Global Knowledge Graph + Supercomputing 

HOW WE BUILD REAL AND TRUE AI 

https://www.linkedin.com/pulse... 

Resources

Universal Artificial Intelligence, and how much might cost Real AI Model

The first real model of Universal AI is conceived as Trans-AI or Meta-AI, transgressing and integrating all AI generations: DNNs = DL << ML << Fake AI = Narrow AI << Weak AI << Strong AI = AGI << Artificial Superintelligence.

The Trans-AI includes the following structural elements:

Man-Machine World Model World.Code;

Machine Intelligence and Learning Base World.HyperGraph;

Data Framework World.Data;

Global Knowledge Base World.Net

Domain Knowledge Base Domain.Net

https://ec.europa.eu/futurium/...

Trans-AI: How to Build True AI or Real Machine Intelligence and Learning

Abstract

We are at the edge of colossal changes. This is a critical moment of historical choice and opportunity. It could be the best 5 years ahead of us that we have ever had in human history or one of the worst, because we have all the power, technology and knowledge to create the most fundamental generalpurpose technology (GPT), which could completely upend the whole human history. The most important GPTs were fire, the wheel, language, writing, the printing press, the steam engine, electric power, information and telecommunications technology, all to be topped by real artificial intelligence technology. Our study refers to Why and How the Real Machine Intelligence or True AI or Real Superintelligence (RSI) could be designed and developed, deployed and distributed in the next 5 years. The whole idea of RSI took about three decades in three phases. The first conceptual model of TransAI was published in 1989. It covered all possible physical phenomena, effects and processes. The more extended model of Real AI was developed in 1999. A complete theory of superintelligence, with its reality model, global knowledge base, NL programing language, and master algorithm, was presented in 2008. The RSI project has been finally completed in 2020, with some key findings and discoveries being published on the EU AI Alliance/Futurium site in 20+ articles. The RSI features a unifying World Metamodel (Global Ontology), with a General Intelligence Framework (Master Algorithm), Standard Data Type Hierarchy, NL Programming Language, to effectively interact with the world by intelligent processing of its data, from the web data to the real-world data. The basic results with technical specifications, classifications, formulas, algorithms, designs and patterns, were kept as a trade secret and documented as the Corporate Confidential Report: How to Engineer Man-Machine Superintelligence 2025. As a member of EU AI Alliance, the author has proposed the Man-Machine RSI Platform as a key part of Transnational EU-Russia Project. To shape a smart and sustainable future, the world should invest into the RSI Science and Technology, for the Trans-AI paradigm is the way to an inclusive, instrumented, interconnected and intelligent world.

Citation: Azamat Abdoullaev. Trans-AI: How to Build True AI or Real Machine Intelligence and Learning. Ontology of Designing. 2021; 11(4): 402-421. DOI: 10.18287/2223-9537-2021-11-4-402- 421.

https://www.ontology-of-design...

Meta-AI or Trans-AI: ANI + ML + DL + AGI + ASI: How to Build True AI or Real Machine Intelligence and Learning

https://www.linkedin.com/pulse... 

Policy initiatives for Russian Federation 

https://oecd.ai/en/dashboards/...