But humans do not learn to recognize cats in this way. The children, go out and see a cat or two, then they know what a cat looks like. They don’t need a million training samples, just one or two. So that’s very different. So they don’t need big data to learn. Instead, a little information is enough. So this is one of the biggest challenges that needs to be addressed for AI to advance. Therefore, one possible way is to move from today’s data-driven AI to future hybrid AI, which combines both data-driven and knowledge-driven AI. So here are my thoughts on the future of AI.
Laurel: No, that’s amazing. It’s also very interesting to hear the idea of learning about AI and AI in production in manufacturing, and as you said, a baby cat doesn’t learn what it is. And there is clearly much more between each of these ideas. I think that this concept in particular is very complicated and when we think about how AI is changing and evolving into this thing, we’re now calling it the industry metaverse, right? Which is a mix of those virtual and real world skills. This isn’t science fiction anymore, this is actually happening. So what are some examples of augmented reality or XR that we might see in the next few years?
Yong: You’re right, Laurel. Honestly, I think the reality here is, and with that said, Metavas itself is still in the early stages of development. And different people have different interpretations of what Metavas is. From Lenovo’s perspective, the Metaverse is a mix of physical and virtual worlds where people and things interact and interact. And XR tools, including AR, VR, MR, are a key human-machine interface and portal to the metaverse, with combined and enhanced information from both terms physical and virtual. At Metaverse, we can provide users with more immersive and interactive experiences and solve industry challenges with greater efficiency and lower cost. So let me show you an example. So let’s take the electric power industry for example. Historically, power equipment inspections have been time-consuming and sometimes as dangerous as you might imagine. Humans can also make mistakes that can cause power outages and other accidents.
Such activities can result in high costs for energy companies. But now, with the new Metaverse technologies, we have the opportunity to transform this industry into a safe, secure and efficient industry. The key is to build a metavas that connects the virtual and the physical. And we actually thought about this a lot, and we concluded that there are three ways to achieve this. The three ways are physical virtual mapping, physical virtual superimposition and physical virtual interaction. Again, let me use the example of the electric power industry to explain this. First, physical virtual mapping means that we need to construct a virtual version of the physical power station, which we call “meta-space.” In fact, we finished our Tech World two months ago. [conference]. I have a pretty detailed description of this meta-space. I won’t have time to go over that with you today, but for the interested audience, I’ll refer you to Lenovo Tech World 2022 in October.
They may have more detail there. And then after this physical virtual map comes physical virtual superimposition, which means we overlay digital information on real objects, for example with AR glasses. This really increases the capacity of human workers significantly, allowing them to check the situation and identify many tasks quickly and perform maintenance tasks efficiently. And thirdly, the human workers cannot cover the power station, especially the hazardous areas that are dangerous to health and life.
In this case, human workers can send a physical robot to do the work in their place, they can plan a route for the robot in a virtual power station. Then the robot can move in the physical power station and perform the inspection function, which is to know the reading of the equipment, the abnormal temperature in the power station and monitor the condition of the control equipment. And the third way, again, we call it physical virtual interaction. So those are the three ways we connect the virtual and physical worlds. And of course, above, I used the power station inspection as an example to show the disparity, but these technologies can create huge opportunities in many other industries.
Laurel: If you can, imagine that paradigm shift in healthcare is just an entire industry. Yes, that is really amazing. And I think it’s a nice distinction to really define for people the industrial metaverse with this ability, the XR technologies, the fine integration between the virtual and then the physical to do things that haven’t been done before. the world. So speaking of that physical world, how does adopting the technologies we’re talking about today help sustainability and enterprise social and governance or ESG goals? And what are Lenovo’s own sustainability goals? Because as you said, those huge factories make one in eight laptops in the world, and that’s very challenging for Lenovo.
Yong: Laurel, thanks for asking this question. I think we should also be responsible for any technological innovation. And you mentioned the massive factory LCFC, right? Imagine if we can save 5% of electricity, it will save a lot of carbon emissions. This can reduce a lot of carbon emissions. That’s definitely something we’re very committed to and taking seriously. So overall, Lenovo is committed to achieving sustainable growth by decarbonizing the global economy.
