The world of AI is advancing at an astonishing speed, creating a new era of intelligence.
The topic of artificial intelligence is fermenting wildly during the 2024 Spring Festival. The American company OpenAI officially released its first text-video generation model Sora, which can create realistic and imaginative scenes based on text instructions. With OpenAI, Microsoft's market value exceeded US$3.1 trillion, surpassing Apple to become the world's most valuable company.
Subsequently, the American technology giant Google announced the launch of Gemma, the world's most powerful and lightweight open source model series, with performance far exceeding the mainstream open source model Llama and Mistral directly topped the Hugging Face open source large model rankings.
In terms of artificial intelligence BCI, Musk claimed that the first human being implanted with a Neuralink brain chip has fully recovered, and the patient can control the mouse with just his thoughts, pioneering A new era of brain-computer interface.
Nvidia released its financial report for the fourth quarter of 2023, which showed that Nvidia’s revenue in the fourth quarter of last year was US$22.1 billion, exceeding market expectations. Catalyzed by technological innovation, global artificial intelligence concept stocks have surged recently, and many stocks have attracted attention from institutions. Goldman Sachs predicts that global artificial intelligence investment will grow to US$158.4 billion in 2025, which is just the tip of the iceberg. According to the latest artificial intelligence statistics, as of 2023, the global artificial intelligence market size is estimated to be US$454.12 billion. At an annual growth rate of 19%, the artificial intelligence market may be worth more than $2.5 trillion by 2032.
We can be sure that this society will eventually move towards artificial intelligence, so where will artificial intelligence go next?
Artificial intelligence and accelerated computing are coming together to transform the technology industry. The next wave of artificial intelligence will be a new type of artificial intelligence called embodied AI, which are intelligent systems that can understand, reason and interact with the physical world. Nvidia founder and CEO Jensen Huang pointed out the direction.
In exploring the integration of intelligence and reality, WorldBrain insists on long-term research, establishes technical reserves, and achieves breakthroughs and new developments. WorldBrain is currently the only outstanding innovative project that integrates the concept of embodied intelligence into Crypto. By imitating a large-scale intelligent neural network system modeled after the human brain, WorldBrain introduces intelligence into specific objects and machines, giving them the ability to perceive, understand and interact. Its uniqueness lies in bringing intelligence from the virtual world to reality and exploring the integration of intelligence and reality.
The origin of embodied intelligence
Embodied intelligence The idea sprouted at the beginning of the birth of artificial intelligence.
The concept of embodied intelligence (Embodied Intelligence) was first proposed by Alan Mathison Turing, the father of artificial intelligence, in 1948. Embodied refers to the human body. , intelligence is intelligence, and when combined together, it is embodied intelligence that cannot be separated from the human body. At the same time, Turing also proposed another relative concept, Disembodied Intelligence, that is, intelligence outside the body, intelligence that leaves the human body.
In 1950, Turing proposed two possible development paths for artificial intelligence in his groundbreaking paper "Computing Machinery and Intelligence": One path is Focusing on the intelligence required for abstract computations, such as playing chess, another path is to equip machines with the best sensors, giving them the ability to communicate with humans and learn like babies. These two paths gradually evolved into non-embodied intelligence and embodied intelligence.
What is embodied intelligence?
Embodied Artificial Intelligence, Embodied Intelligence, Embodied AI, abbreviation: EAI), also known as "embodied AI" and "embodied AI" "Body-body artificial intelligence" refers to an intelligent system that perceives and acts based on the physical body. It obtains information, understands problems, makes decisions and implements actions through the interaction between an intelligent body (which can be biological or mechanical) and the environment, thereby generating intelligence. Behavior and adaptability.
Embodied intelligence can be briefly understood as the creation of intelligent agents that combine software and hardware, emphasizing that intelligent agents with physical bodies gain intelligence by interacting with the physical environment. Artificial intelligence research paradigm. Let’s break it down: one is “embodiment” and the other is “intelligence”. The basic meaning of embodiment refers to the dependence of cognition on the body, that is, the body has an impact on cognition. Cognition cannot exist independently of the body. In addition, the relative concept of "embodiment" is "disembodiment", which refers to the decoupling of cognition and body. The understanding of intelligence in the field of artificial intelligence is mostly based on human abstraction, logical ability and adaptability.
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ExploreNew Dimensions of AI WorldBrain’s Embodied Intelligence New Perspective
Embodied intelligence is an abstract artificial intelligence compared to the traditional one. It is a kind of artificial intelligence that can perceive and An intelligent form that interacts with its own environment and has self-awareness. Embodied intelligence can exist in many forms, such as robots, autonomous driving, etc. They can not only understand information in the environment, but also acquire and process information from complex environments at a higher level.
WorldBrain is an unprecedented distributed intelligent neural network system based on the WorldModel world model. It simulates the operating mechanism and thinking process of the human brain to better understand the human brain. Understand the connection between artificial intelligence and cognitive science. It is an important part of the future realization of "strong artificial intelligence". By using complex computing models, including neuron network modeling, information processing, learning and decision-making, etc., it helps to study the basic principles of human cognition in depth. Provide more effective inspiration for AI systems.
WorldBrain brings a more intelligent and efficient information processing method to mankind, and builds a new intelligent ecosystem for the future digital society.
First, embodied intelligence can understand and respond to its own environment. This is done through advanced sensing technologies, such as visual sensors, speech recognition systems or tactile sensors, which enable embodied intelligence to obtain information in the environment. WorldBrain draws on the mechanisms of brain maps and reference frames to gain more accurate spatial perception and environmental understanding through sensory inputs such as vision and position sensor data by using maps and reference frames in the human brain as the basis for learning world models. This will This enables WorldBrain to better interact with the physical world and achieve more advanced cognitive and intelligent functions.
Secondly, embodied intelligence can learn itself through machines Improve and learn new skills. Through big data and deep learning technology, embodied intelligence is not just a static system, but a dynamic system that continuously improves and learns. WorldBrain can be quickly trained in an unsupervised manner to Learn a compressed spatial and temporal representation of the environment. By using features extracted from the world model as input to the agent, a very compact and simple policy can be trained to solve the desired task.
Finally, embodied intelligence can interact naturally with users, understand and handle complex tasks. Human-computer interaction has risen to a new level. Different from the current hot large language model, the multi-modal modes are mostly text and pictures. , audio, video, etc., an important manifestation of embodied intelligence is multi-modal + cross-modal perception interaction, especially the cross-modal perception of vision, language and body behavior; this requires not only artificial intelligence, but also human-machine Interaction, natural language processing and other technologies. WorldBrain can imitate human cognitive abilities and behavioral performance through perception and behavior simulation, and imitate human movement ability and body expression through motion and body representation simulation, making WorldBrain like Humans perform complex operations and interactions.
Embodied intelligence is a possible path to produce super artificial intelligence.
Embodied intelligence is the new frontier of artificial intelligence and a key step in the evolution to higher-level intelligence such as perception, understanding, learning and adaptation.
"Zhiyuan Artificial Intelligence Frontier Report" (2021-2022) points out: In the next three years, embodied models based on virtual world and real-time spatio-temporal environment training will achieve greater development, such as Autonomous driving, robots, digital humans in games, etc. In the next five to ten years, ultra-large-scale pre-training models (information models) and embodied models will be combined to become a 'digital superman', in terms of knowledge, ability and follow-up. The degree of interaction with the environment will be stronger than that of humans in the past, embodied models and robots will also be combined, and unmanned systems with stronger abilities than humans will appear in the physical world, that is, 'embodied supermen'. Optimistic estimates indicate that in the next three years, In ten years, digital superman and embodied superman may combine to finally give birth to super artificial intelligence.
Sora's one-shot and multi-lens images are powerful, realistic and full of imagination. However, Sora does not understand the sequence of glass breaking and liquid spilling, does not understand the common sense that ants have six legs, and cannot reason about time and cause and effect. Trying to use fitting methods to understand the world, pure fitting route cannot become AGI. AGI ultimately needs to touch and learn the world with self-supervision.
The ultimate dream of artificial intelligence is to realize super artificial intelligence.
Embodied intelligence is a possible path to produce super artificial intelligence. Embodied intelligence is an important way to improve the cognitive capabilities of the current "weak artificial intelligence". Artificial intelligence can learn and progress from real physical or virtual digital spaces through channels of interaction with the environment.
WorldBrain will continue to advance along the path of Embodied Intelligence pioneered by Turing, pursuing a closer connection between artificial intelligence technology and the real world. , a more natural connection. Although it is still in its infancy, its exploration of breaking down the barriers between artificial intelligence and the real world has shown unlimited potential.