The core technology of artificial intelligence robot is knowledge map

In 2017, artificial intelligence began its journey into commercialization. Many of the latest AI products were introduced that year, but their true value and innovation were often questioned. Some of these so-called AI products were just robots or conveyor belts operating based on pre-programmed instructions, raising the question: are these really AI? Are there other robots that look like humans but only follow standard commands? Why do they seem so unresponsive and unsmarter? The robots currently available in the market are mostly programmable machines rather than true AI systems. These devices can be programmed to perform specific tasks, interact with the physical world through sensors and actuators, and execute a series of actions either autonomously or semi-autonomously. Some may think that if a machine can perceive its environment, it’s already intelligent. However, this is not entirely accurate. While machines can now collect data automatically, in real-time, and with high efficiency, they still function as traditional computers. Any decisions they make are based on rules set by humans, not on independent thinking. Examples of such machines include robotic arms used in factories, educational robots that help children learn poetry, and even mopping robots. These devices follow instructions without thinking for themselves, which means they lack true artificial intelligence. Over the past few years, the term "AI product" has become more common, referring to systems that have learning and reasoning capabilities. Artificial Intelligence (AI) is a branch of computer science focused on creating programs that can perform tasks requiring human-like intelligence. These algorithms can learn, perceive, solve problems, understand language, reason, and make judgments. Currently, AI algorithms power services like Google Search, Amazon’s recommendation engine, and the Giiso Information Robot. However, AI is just one part of a larger robot system, which also includes sensors, actuators, and non-AI programming components. What makes AI different from traditional programming is its ability to mimic human intelligence. Unlike regular programs that follow a fixed sequence of instructions, AI systems "learn" from data, adapting and improving over time. This "wisdom" is what distinguishes AI from simple automation. So, what exactly is an AI robot? It's a bridge between robotics and artificial intelligence—robots that are controlled by AI software. Robots that simply repeat pre-programmed motions, like industrial robotic arms, aren’t considered AI robots because those tasks don’t require intelligence. The function of non-intelligent robots is limited, but AI algorithms allow robots to perform more complex and dynamic tasks. Let’s look at some examples: 1. **Autonomous Driving**: One of the most well-known applications of AI is self-driving cars. Companies like Baidu and Shenzhen have tested driverless vehicles on busy roads. These cars must process constantly changing environments, using advanced AI technologies like object recognition and sensor analysis to make real-time decisions. 2. **Information Robots**: In the media industry, AI-powered robots like Giiso, Tencent’s Dreamwriter, and Today’s Headlines’ Zhang Xiaoming have gained popularity. They assist journalists in tasks like writing, editing, and data tracking. These systems rely on core AI technologies such as semantic understanding and knowledge maps. When machines are trained on large amounts of data, they begin to develop cognitive abilities. Once they can understand the world and make decisions, they truly become intelligent. To achieve this, we need to provide machines with enough knowledge and context. How do we teach machines? The key lies in **knowledge graphs**—a structured way of representing information. Like how AlphaGo learned to play Go, AI systems store and organize human knowledge in a network, allowing them to continuously learn and improve. Only when a robot possesses human-like abilities—such as understanding, judgment, decision-making, and action—can it be considered a true artificial intelligence product.

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