is totally barrier-free. That house will check about my health, my wealth, will protect me. I can enter and I can leave without touching anything. No one else can do the same and my property is protected very seamlessly. No barriers for me but maximum safety and security.
How will my manufacturing landscape look like? Well, most of the manual tasks are gone. I need better education and I'm maybe the most advanced equipment operator in the world. Look at airplane pilots. 70 years ago, there were guys my size. These type of muscles and arms were flying in thunderstorms. Real heroes, mechanical pilots. Today we have more pilots but they are all genders, shapes and sizes because they are operating flying intelligent robots. So when I come from Germany here to India, a pilot mechanically has to work for 30 seconds at the end of the runway, pull up the plane and all the rest is happening already today autonomously. And that's going to get better in the industrial world and of course also in the transportation world.
How are cars going to look like in 20 years? Well, they are rolling cocoons, rolling robots, and these cars are rolling living rooms. You have seen this during the COVID pandemics in China for example. A lot of people used their cars as their office extensions. Too many people in the house at home. The kids were too noisy. You go to these type of places. So you have a rolling cocoon again that is anticipating and automating what you want to do, what you want to achieve.
And what does this all have in common? I mean most of the people are asking me now, okay, Lars, you are predicting that there is 50 billion of these smart connected robots out there in 10 years from now. But they have so different form factors. What does that mean? Well, simple answer, they have all the same ingredients. Each of these little robots has to sense its environment. So what's happening around me? Has to connect to the cloud to get the data. Lars wants to drive from here to Mumbai. How is the traffic situation? Getting the information from the web. And then you start thinking of a smart advice. This is where AI comes into the play. At that moment, you have to think of what is my best advice to the arms and legs to my robot and whether these arms and legs are an automotive powertrain and a steering wheel is a manufacturing arm or is the wireless connection to my climate control from my smart thermostat. I don't care. Sense, think, connect, act are the ingredients for every of these 50 billion robots.
Now the only thing is that all is nothing if you cannot trust your device. Because if your fridge starts ordering 500 liters of milk for the next weekend, you go shopping alone. If your car does erratic driving, you start driving manually again. And if your thermostat sets your house on 50 degrees centigrade and your flowers are dried out and your cat is dead, you go organizing it all manually again. So trust is the essence.
And how does a nerd like me define trust? That's very simple. This is functional safety. Like in automotive, make sure that your braking system never ever fails. And make sure that your connected device, your car or whatsoever is never ever being hacked. And then you can trust your device. You can be sure that it doesn't turn against you. So these underlying levels make sure that you are energy efficient because otherwise you cannot be battery powered.
Make sure that you are trustworthy so safe and secure and then make sure that you can sense, think, connect and act and you can build every robot in the world and that is of course interesting for a semiconductor maker because for us volume matters in these semiconductor chips.
Now you will ask me, yeah but Lars, we have so long already these discussions on autonomous vehicles. In 2018 the entire press community thought in 2020 my kids are going to the kindergarten without a steering wheel and without me autonomously. That did not happen. Why? Because we have designed these robots wrong. And how do you design the robots right? Well try to copy from nature that normally works. And here on stage is a 90 kilo bag of water with a couple of bones or in other words a biological robot and that robot has a certain architecture. That robot has different layers. That robot has a realtime system highly functional safe and that is my spine. And if I stumble the reflexes in my spine tell me already straighten your leg in real time highly undisturbed very very fast. No AI, not big AI, very deterministic system. Then I have in green my cerebellum that is working also in a highly functional safe environment for heartbeat, stomach control, stability control. I can stand here and stand in a stable way because only the blue part is trying to find out what is the next sentence that I'm firing towards you. And green and orange are working to manage the infrastructure in a functional safe way that is standing here in front of you. So why don't we copy these approaches into vehicles, into cars, into houses, into planes again? Well, there are simple architectural constraints and building blocks that we need and we need to scale.
But how big does the AI really have to be? So that AI in these systems can be comparatively tiny. If you're talking about transportation robots and how these transportation robots should look like, well, look at intelligent transportation robots, insects, for example. These insects have 100,000 neurons and an ant is already a very, very nice, very sexy transportation device. It's not as intelligent as a human being with 90 billion neurons. But for most of the tasks it is also not needed in this way. And Ashwini Vishnaw said it very nicely in Davos. 80% of the AI tasks around us will be on very tiny efficient and very very tailor-made models at the famous edge. So in the end devices and this is what we are designing for.
So in other words, NXP is trying to build all these Lego blocks where you can start scaling small, medium and large devices. You have these devices here. This is for example, sorry, the very small device. This is a complete drone control unit that also flies with AI artificial intelligence and reaches targets not only remote control but is operating the entire drone and is finding via the camera its way. What I have here is an India-made AI accelerator from Kinara that NXP has acquired. This is carrying 10 billion parameters in a large language model. So it is not as big as ChatGPT but the combination of those two systems carries a large language model and operates an intelligent system at the edge for a power consumption of 7 watts. So in other words, you can build these type of plug-in combinations and you have a system for example at a computer tomograph that is taking my entire X-ray pictures and is writing the doctoral report, that is operating at my fridge and tells me how many bottles of milk are missing.
You do not have to have it always on and always operational. So these seven watts are only consumed the moment where the fridge tries to find out what is missing and then you can go to sleep again. That is the answer for this global quest of how many nuclear power plants do we need when we send one question to ChatGPT and that is what the edge is going to solve for all of us.
But beyond all of that we are always talking about AI and the brain structure of these robots. Most of the cars that have created fatalities in the last 10 years, these autonomous vehicles didn't create these fatalities on the roads because they had a bug in the brain structure. They created these issues because they were more short-sighted than I. So, wouldn't it be great to have these robots with superhero senses? Wouldn't it be great if these robots out there have telepathic capabilities? I do not need to touch anything, but the stuff around me is arranging like Dumbledore. One move of the magic wand, everything is arranged. Wouldn't it be great to know what is ahead of your line of sight? Like Yoda, telepathy. Wouldn't it be great to have X-ray vision like Superman, you look in rain, in snow, and in fog, what is around you. Wouldn't it be great for the very old ones amongst us to be like a hitchhiker's guide through galaxy? You have one bubble fish that you plug into your ear and you understand the entire universe, every language that is spoken. A German can understand Hindi without a big barrier in between. And wouldn't it be great if our robots would have better ears than Daredevil or in real life and would be able to hear what is being spoken out there in the outer ranks. If we would have that, then the driving robot that replaces Lars is way better than Lars the driver himself.
But I am the entry ticket for driving 250 kilometers an hour on the left lane of a German highway with my car. Now you think we cannot have that for our robots next to this little bit of AI that we need. Well, let me tell you, we have it already. We have ultra wideband technology that is opening gates and car keys from my watch to everything around me. I have car to car communication over more than one mile of distance in 3 milliseconds. I can immediately tell the device there is an ambulance rushing into the crossroads. Switch the traffic lights to green for that ambulance and to red for me. Telepathy. We have radar systems over 300 meters that see two persons sitting like you next to each other and we can detect them in rain in snow and in fog. We have Matter standards. So the English for smart connected devices where is a common language in place and all devices are talking to each other. The home gateway is talking to the window blinders is talking to the solar cell management. This is the entry tickets for this democratization of AI functionality and for the entrance of these tiny devices here with a little bit of AI a lot of functional safe and secure architectures to building the right devices.
And what we have done with a little bit of AI and a couple of microphones in cars, we can take with the in-car microphones the sound in a way that we hear a bicycle bell behind the cars and we can easily detect whether there is vulnerable road users for example behind the cars. We can do this in any other settings as well, but automotive is there a very nice one. So in other words, where are we at the moment? When I'm talking to my fellow nerds and the semiconductor researchers, it is not about AI alone. It is how you can build systems that you absolutely can trust. How can you go low power? And then the key question, how big does the brain has to be? And the answer is somewhere between 100,000 and 100 billion neurons.
Beyond all of that, there is very very interesting questions that we have to solve and where India is deeply with the Europeans in research and in the activities. How do we make the wiring harnesses lighter? How do we battery operate all of that? How we are sensing in the right way? How do we think? So all of these separate topics and to not make it too nerdy and too complex all of these silicons here are driving then these form factors. A lot of people are only talking about humanoids and sorry to say humanoids are the tiny fraction of robots because why should a robot look like a human being? I mean that only makes sense in a very human environment climbing stairs or whatsoever. Otherwise you have robots that looking like ultrasonic devices that are looking like infant monitor devices on the neonatology stations in hospitals. There is no need to look like me.
But all of this we are equipping already with silicon in the 100 thousands today and the ingredients are always the same. And just to get this pitch here down on the runway to say it in the drone language, what do you need to do? What do we need to work on? What does the industry do at the moment? Well, in a very simple way, we are working on safe and secure architectures that are ultra low power, ultra energy efficient. Again otherwise this dream of 50 billion smart connected devices will not work because these 50 billion smart connected devices need three times the energy that mother earth can provide. So that is the absolute must for these markets to come into play. Then what we need to work on is we have to push the boundaries the envelope of physics and we are doing we are sensing better than human beings in the meantime.
And then what we need to do it's just a simple game that semiconductors have done since 50 years now. We need to scale in the right way. So we need to build these little Lego bricks and say okay here is a complete drone control unit that you can fly autonomously. You want to fly with large language models and very very smart AI slalom between the trees. Plug this little dongle in and you have everything on board that you can do. And the same you can do for building control systems with manuals. You can do this for any form factor that you like and that is what we are doing at the moment while the AI models are getting much much more efficient smaller and we carry them here.
So my pitch is when PM Modi says he wants to bring AI to everyone. This is the answer. The answer is not data centers. They will exist. But the democratization of AI and equipping everyone in Togo as we heard earlier or in India or in Germany with the right levels of AI that create the world that anticipate and automates. The answer lies at the famous edge in the end device. Thank you.
