What are The Principles of AI and Intelligent Machines? An AI system is a machine-based system that is capable of influencing the environment by producing an output (predictions, recommendations or decisions) for a given set of objectives. It uses machine and/or human-based data and inputs to, (i) perceive real and/or virtual environments; (ii) abstract these perceptions into models through analysis in an automated manner (e.g., with machine learning), or manually; and (iii) use model inference to formulate options for outcomes. AI systems are designed to operate with varying levels of autonomy. AI system lifecycle phases involve: i) 'design, data and models'; which is a context-dependent sequence encompassing planning and design, data collection and processing, as well as model building; ii) 'verification and validation'; iii) 'deployment'; and iv) 'operation and monitoring'.

Theoretical physics is to understand the natural world or universe by making a model of reality, to describe, explain, and predict physical phenomena by means of physical theories or models, as mainstream theories, proposed theories and fringe theories. Today's theoretical #physics is no more natural philosophy trying to embrace the whole nature and the physical universe. In essence, theoretical physics is largely mathematical physics intersecting ontology or metaphysics, #mathematics and physics itself. Theoretical physics and mathematical physics is a great training for your mind to develop an extraordinary intelligence, both general and specific. Without such a fundamental pre-training, it would be impossible to create the Real #AIModel as integrating most of human-like AI modalities, as Trans-AI Science.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Is #AI Science or Engineering? AI combines science and engineering in order to build machines capable of intelligent behaviour. It brings together work from the fields of philosophy, psychology, and computer science, and contributes to and has drawn on brain science and linguistics. AI Science and Engineering is a transdisciplinary science and engineering of Technology Systems, Platforms, Machines, Computers, Computer-Controlled Robots, or Software Powerful to Interact Effectively, Sustainably and Intelligently with the World. AI Engineering is a field of research and practice that combines the principles of systems engineering, software engineering, computer science, and human-centered design to create AI systems in accordance with human needs for mission outcomes.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Why do we need a powerful man-machine superintelligence (digital superminds)? Humanity is no more able alone, without powerful machine intelligence, to solve the complex problems of modern complex world, as all sorts and types of global threats and risks to human health, rising unemployment, widening digital divides, youth disillusionment, and geopolitical fragmentation. What we need, it is a Real Superintelligence taking its superpower from the concept of reality, its noumena and phenomena, and deployed as a globally distributed human-machine superintelligence integrating billions of different human, artificial, and machine intelligences. Considering an accelerated change and fast space-time compression, the RSI Technology could be designed, developed, deployed and distributed as the fundamental general-purpose technology, integrating automated, machine, artificial, and natural human intelligences, within 5–7 years. There are several means by which science may achieve this breakthrough (and this is another reason for having confidence that the event will occur): - The development of computers that are "awake" and superhumanly intelligent.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner It is as a Trans-AI to be built by the agency of transdisciplinary research and development (TRD). Today's AI is mathematical algorithms and statistical rules and predictive analytics, which excel humans in many specific areas, such as judging, strategic games, algorithmic trading, self-driving, diagnosing, computing, measuring, recognising objects, characters, faces, human speech, or translating languages. Such "narrow" AI have superhuman capabilities, but only in their specific areas of dominance, much outsmarting humans in doing specific tasks, jobs and works. Superintelligent #MachineLearning will combine a wide range of skills in one entity, as a single integrated system/network/platform of man-machine superintelligence. All what you need, it is a unifying world model (global ontology), with a unifying reasoning and learning framework (master algorithm), to intelligently process the world's data, from the web data to the real-world data.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner All in all, the world is formalized as the ordered totality of world's variables, as substantial variable O, state variable S, change variable C, and relational variable R, W O, S, C, R The world's formula is the master equation acting as the ontological framework for any reality or environments, physical, mental, social, digital, or virtual, the unifying context for scientific and technological knowledge and practice, and the master algorithm of all algorithms, and the global data framework for human-machine superintelligence, as conscious beings and self-aware entities. It is underlying all the causal variables with real-world causal data. Now, the Real Super Intelligence (RSI) could be a universal programmable machine with the master program/causal information algorithm P, that receives the causal data-input D from the world (the information/data state of the world, W), and is able to act on the world as a function of the output of its program P(D), which must be able to simulate the behavior of a universal Turing machine. It is crucial, the RSI's world is not an infinite regress of entities "governed by a recursive principle that determines how each entity in the series depends on or is produced by its predecessor", as it is advanced by mono-disciplinary science and technology. Its world is rather a global dynamic causal network (GCN) where all entity variables influence each other.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner With a virtually infinite superintelligence, as a Trans-AI, which is both transdisciplinary, transcendental and transcendent, our world would look different, as a trans-world, or I-World. It is powerful to project an image of the world into its digital mind making it to comprehend the immensity of the whole universe, its reality, causality, space-time. In pure life forms, there are material beings, energy beings and information entities. Material beings are natural objects of different scales, from elementary particles to the infinite universe, including our universe with its planets, stars, galaxies, clusters, etc. Energy beings are mostly composed of energy, they are imagined as a translucent glowing fluid or a collection of flames or electrical sparks or bolts or fire balls or ghosts.

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