In a recent report, Forbes biweekly listed five major trends in the development of artificial intelligence (AI) in 2024. The Ministry of Industry and Information Technology of the People's Republic of China recently issued the "Guiding Opinions on the Innovation and Development of Humanoid Robots", which proposes that by 2025, the humanoid robot innovation system will be initially established, and the whole machine products will reach the international advanced level and achieve mass production. With the advent of "generative AI", the distance between us and AI is gradually decreasing. What new looks will AI give to the world in the future?
Generative AI breaks new ground.
In the field of artificial intelligence, a new hot spot emerges every few years. With the launch of ChatGPT, generative AI has made many people new users of AI tools.
Generative AI is a new type of artificial intelligence that Xi learns from large-scale data to generate new original content (text, **, etc.) by learning from large-scale data. ChatGPT not only writes essays, writes**, does math problems, and even looks at astrolabes. As you can see, while the generated content is very similar to the training-based data, it is not simply a replication.
Since the middle of the 20th century, the development of artificial intelligence has continued to make breakthroughs. In the 70s of the 20th century, the focus of its development was on the expert system, and in the 80s it turned to probabilistic reasoning. In the past decade, the development of this field has been driven by machine Xi, that is, let computers Xi data, find patterns from it, and build models. In the past two years, this kind of machine Xi has been continuously promoted, for example, generative AI is the technology that introduces deep learning Xi. If the previous artificial intelligence Xi mainly relied on people's empirical judgments to make instructions, then generative AI mimics the thinking process of the human brain and can form more abstract comprehensive judgments.
What are the possible application scenarios of generative AI in the future?
Imagine an AI hearing a descriptive voice and instantly drafting an informative essay with a picture and a suitable background**. Forbes biweekly wrote an article ** that the future of artificial intelligence systems will go beyond the simple application scope of chatbots and spoofs**, and can write more complex narrative articles, maybe co-author best-selling books, and even arrange symphonies.
One of the key innovations is multimodal generative AI, which can process various inputs such as text, sound, melody, and visual signals and fuse them together for comprehensive understanding. In the future, generative AI will bring users more layers of rich sensory experience.
The rise of generative AI will also cause profound changes in areas such as technology research and development, industrial design, etc. Today's breakthrough is to use artificial intelligence to crack the protein folding problem. Previously, it took weeks, months, or even longer to analyze the structure of a protein experimentally. Since the entry of artificial intelligence into the field, results can be generated in hours or even minutes with an accuracy rate of more than 90%.
Starting next year, with the continuous development of multimodal technology, artificial intelligence models will penetrate into more complex and diverse interaction scenarios, which is expected to open up new application spaces in smart homes, smart cities, medical diagnosis, autonomous driving and other fields.
Humanoid robotics Xi interact with the environment.
If you ask what is the most iconic tool in the digital economy era, robots are undoubtedly one of the most powerful answers. Humanoid robots are regarded as the iconic products of the "Fourth Industrial Revolution".
In September of this year, Tesla unveiled the latest ** of the humanoid robot Optimus Prime. Optimus Prime has advanced again. That's what many people say. Musk said that he intends to mass-produce this product in 3 to 5 years. The latest "Guiding Opinions on the Innovation and Development of Humanoid Robots" (hereinafter referred to as the "Guiding Opinions") issued by the Ministry of Industry and Information Technology of China proposes that by 2025, the humanoid robot innovation system will be initially established, and a number of key technologies such as "brain, cerebellum, and limbs" will make breakthroughs, and the whole machine products will reach the international advanced level and achieve mass production.
In 1950, Alan Turing, the "father of artificial intelligence", first proposed the concept of "embodied intelligence" (humanoid robots). The basic assumption is that intelligent behavior can be Xi by agents with corresponding forms by adapting to the environment. In other words, in order to have the intelligence of a human, you must first have a body like a human.
Lu Cewu, a professor at the Department of Computer Science at the School of Electronic Information and Electrical Engineering of Shanghai Jiao Tong University, once described it this way: from a cognitive point of view, people are "first-person perspective intelligence", while machines without bodies are "third-person perspective intelligence". People can actively learn and Xi through interaction with the real world, and understand new concepts through the expansion of the chain of thought. The breakthrough of humanoid robots lies in not only relying on people to "feed data", but also learning and Xi through massive data to Xi how to interact with the environment.
For robots, the combination of "brain" and "cerebellum" can better understand and change the world.
The first humanoid robot "Expedition A1" developed by Shanghai-based Zhiyuan Robotics Co., Ltd. uses a large model as the "brain" of the robot, which needs to test whether the "brain" can make decisions and generate solutions for tasks that have never been involved before. "Expedition A1" analyzes the speaker's intentions through verbal instructions and implements tasks. For example, when it receives instructions such as "I want a glass of water" and "I'm thirsty", it can "understand" well, and then go to the water dispenser to get water and hand over the cup.
The "Guiding Opinions" put forward that the key technological breakthroughs of humanoid robots are led by breakthroughs in artificial intelligence technologies such as large models, focusing on breakthroughs in the key technologies of humanoid robots "brain" and "cerebellum" and "limbs", and technological innovation systems. For example, the "brain" of humanoid robots should be developed to enhance their environmental perception, behavior control, and human-computer interaction capabilitiesDevelop the "cerebellum" of humanoid robots and control their flexible movements. In addition, it is necessary to systematically deploy the key technology group of "robotic limbs", build humanoid robotic arms, dexterous hands and legs, tackle key technology groups of "machine body", and accelerate the integration of humanoid robots with cutting-edge technologies such as the metaverse and brain-computer interface.
In the view of Gu Jie, chairman and CEO of Fourier Intelligence, in the future, humanoid robots may become a new generation of terminals like cars and mobile phones, and be popularized in many scenarios such as elderly care and scientific research.
On October 24, local time, a woman experienced a racing game at the venue of the Lenovo Innovation and Technology Conference. On the same day, the 9th Lenovo Innovation and Technology Conference opened in Austin, Texas, USA. (*From China News Service).
AI should be the "right-hand man" of the ** class
It is foreseeable that with the continuous development of technology, artificial intelligence is no longer just a tool, but the "right-hand man" of human beings. The world will enter an era in which humans and AI work together.
For example, surgeons can perform surgeries with the assistance of artificial intelligence diagnosis, and some hospitals have now implemented robot-assisted surgery. Lawyers can get reference cases provided by AI during the trial process, which is both rich and comprehensive. Software developers can also get synchronous help when writing, which greatly improves efficiency.
In addition, quantum computing will become an important development direction in the field of AI in the future. Emerging companies and established tech giants alike have devoted significant resources to developing quantum solutions that accelerate machine Xi and optimize algorithms for more efficient and accurate AI applications.
While AI offers a promising future, there are many potential risks that need to be developed to address these challenges.
For example, the challenge of generative AI to the existing IP system. It is mainly manifested in how to balance the interests of material providers and recreators, ensure innovation achievements, and reduce the interference of the development of related industries. To deal with this problem, it is necessary to make a relatively large change to the existing IP system.
As AI becomes more involved in daily work and life, the issues it faces in areas such as ethics are attracting attention. Experts believe that the challenge now is not only to design algorithms that are fair, but also to set strict standards to ensure that these systems and their designers are accountable for their actions.
According to the American "Forbes" biweekly**, artificial intelligence is currently driving in various fields, and this unprecedented development trend not only fascinates technology enthusiasts, but also arouses the close attention of global policymakers.
Major economies, including Europe and the United States, are trying to formulate more comprehensive AI policies and legislate for AI. In October, the United States signed its first executive order on AI. The European Parliament intends to reach an agreement on the text of the EU's AI Act by June next year. These policies aim to promote technological breakthroughs while protecting people from the "wild growth" of AI.
Industry insiders believe that not deliberately planning the creativity of artificial intelligence and leaving some creative space for human beings is a problem worthy of attention and exploration. (ENDS).