Successfully developed self-propelled bicycles using AI chips capable of reasoning and learning like humans

It seems that mankind has just taken a step closer to the future of mass production of machines that possess the ability to reason and read situations that are not inferior to humans.

Successfully developed self-propelled bicycles using AI chips capable of reasoning and learning like humans

It seems that mankind has just taken a step closer to the future of mass production of machines that possess the ability to reason and read situations that are not inferior to humans.

Recently, a group of Chinese computer scientists has successfully developed a hybrid AI chip called 'Tianjic', which can control a self-propelled bicycle perfectly, judge and handle it well. situations encountered in actual operation.

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Successfully developed self-propelled bicycles using AI chips capable of reasoning and learning like humans Picture 1 The self-propelled bicycle is equipped with an AI processing chip from Chinese scientists

The bike after being equipped with this chip will become extremely special. It not only can balance itself, but also has the ability to navigate, handle situations, overcome obstacles on the way, react to commands you speak, and even be poisonous. make, make decisions when necessary (in critical situations, need to react quickly).

Tianjic has been dedicated for years of research, development, and experimentation by computer science engineer Luping Shi and colleagues at Tsinghua University, Beijing. According to the team's explanation, the chip can be thought of as an artificial brain of a bicycle, which helps it interact with people and handle every situation on the road.

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Technically, the Tianjic chip possesses a 'hybrid' design structure, which is a perfect combination of two different processor architecture methods to develop a common artificial intelligence CPU model (AGI ). It is understandable that AGI is the 'intelligence' of a machine that possesses the ability to understand or learn any intellectual task that people can. In other words, it is capable of learning and reasoning similar to humans.

Both approaches are based on different building and coding schemes. One comes from neuroscience technology and tries to build 'simulation circuits' similar to neurons in the brain. While the other approach is based on computer science and using computers to implement complex machine learning algorithms.

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Successfully developed self-propelled bicycles using AI chips capable of reasoning and learning like humans Picture 2 Tianjic chip possesses a 'hybrid' design structure

By combining exactly the two approaches mentioned above, scientists can create a unique computing platform that runs a variety of machine learning algorithms, with a circuit system inspired by brain structure. sets and building blocks can be reconfigured, and many other interesting features.

These two approaches will work together to run artificial neural networks, thereby helping the vehicle to effectively detect obstacles, control the engine corresponding to each situation and balance the vehicle. . Along with that is the ability to support the recognition of voice commands, as well as the processing of common software.

According to a detailed description of the project published in Nature, the team designed a self-propelled bicycle - equipped with cameras, gyroscope, speedometer, engine, rudder. , and especially the Tianjic chip. In addition, practical tests have been implemented to assess the actual performance of this AGI chip. You can refer to the test video below:

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The car has excelled over many complex tests

As you can see in the video, the bike has successfully completed obstacles detection and avoidance tests, balance control, voice command recognition, tracking and decision making under conditions different reality.

According to experts, an efficient hybrid processor architecture like Tianjic will play an extremely important role in the future development of computer science in general and the field of artificial intelligence in particular.

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