Brain Intelligence: Go Beyond Artificial Intelligence
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Abstract (arXiv)
Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan's economy and solves various social problems. In recent years, AI has attracted attention as a key for growth in developed countries such as Europe and the United States and developing countries such as China and India. The attention has been focused mainly on developing new artificial intelligence information communication technology (ICT) and robot technology (RT). Although recently developed AI technology certainly excels in extracting certain patterns, there are many limitations. Most ICT models are overly dependent on big data, lack a self-idea function, and are complicated. In this paper, rather than merely developing next-generation artificial intelligence technology, we aim to develop a new concept of general-purpose intelligence cognition technology called Beyond AI. Specifically, we plan to develop an intelligent learning model called Brain Intelligence (BI) that generates new ideas about events without having experienced them by using artificial life with an imagine function. We will also conduct demonstrations of the developed BI intelligence learning model on automatic driving, precision medical care, and industrial robots.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Jun 2017.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 3; 2025: 0; 2026: 1.
9 papers.
- 2024Brain-inspired Artificial Intelligence: A Comprehensive Reviewcited by 9
- 2024On the Emergence of Symmetrical Realitycited by 8
- 2022A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligencecited by 7
- 2021Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Frameworkcited by 3
- 2021Aspect-driven User Preference and News Representation Learning for News Recommendationcited by 3
- 2024Brain-like Functional Organization within Large Language Modelscited by 3
- 2023Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializerscited by 2
- 2023Music Representing Corpus Virtual: An Open Sourced Library for Explorative Music Generation, Sound Design, and Instrument Creation with Artificial Intelligence and Machine Learningcited by 0
- 2026Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directionscited by 0
- 2026Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions27 Jul 2026
- 2024Brain-like Functional Organization within Large Language Models25 Oct 2024
- 2024Brain-inspired Artificial Intelligence: A Comprehensive Review27 Aug 2024
- 2024On the Emergence of Symmetrical Reality26 Jan 2024
- 2023Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers11 Jul 2023
- 2023Music Representing Corpus Virtual: An Open Sourced Library for Explorative Music Generation, Sound Design, and Instrument Creation with Artificial Intelligence and Machine Learning24 May 2023
- 2022A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence22 Oct 2022
- 2021Aspect-driven User Preference and News Representation Learning for News Recommendation12 Oct 2021
- 2021Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework23 Mar 2021