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Next Generation of Motorcycles
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00:01All right, let's switch it up a gear now and actually we're going to go back into the world of
00:06things that go fast.
00:10And right now we have an absolutely beautiful motorbike which goes by the name of Verge.
00:19They're showcasing it over here in the Smart Cities and Mobility Park organized by TOLC.
00:25So go and check out their bike.
00:26But here actually to introduce it to you and tell you more is Marco from Verge.
00:35Let's see again.
00:39All righty.
00:40Hello everyone.
00:42My name is Marco.
00:43I'm the co-founder and CTO of Verge Motorcycles.
00:48And today we are here to talk about the future of two-wheelers,
00:54the future of electric motorcycles.
00:57So first to give a short introduction of what we do today.
01:02We've created the world's most advanced superbike, electric superbike, that has insane specs.
01:11It has five times more torque than any motorcycle you've seen around.
01:16It goes two times further than other electric motorcycles and so forth and so forth.
01:22It's a real beast.
01:23And it looks amazing.
01:25And as you can see from the rear wheel, we have done something very extraordinary.
01:29Because we wanted to make it possible to have the most battery in a motorcycle.
01:34So we had to come up with a place where we will put the motor.
01:38And we came up with this integrated rim motor that is in the rear rim.
01:43And we patented that.
01:45And now we've been able to create the most powerful motor ever put into an electric motorcycle.
01:52And through this, we get very high performance, but also many other benefits.
01:57As I mentioned, we are now able to use the entire body of the motorcycle for the battery,
02:04giving it longer range and low center of gravity, very good to ride.
02:09So that's what we do.
02:11But today, I want to share about our vision for where the two wheelers, where the motorcycles
02:15will be going in the near future with all the technologies that we have at hand.
02:21If we compare to cars, we have all these sensors, cameras, AI, compute power.
02:30And as we know, cars are going towards autonomous drive.
02:34That's what you hear everywhere.
02:35Where cars will be these living rooms where you sit with your friends and play chess or discuss.
02:43However, motorcycles will not ride themselves.
02:47That's a fact.
02:49And there's a lot of technology whatsoever that can be utilized for the benefit of the two wheelers.
02:56And that's what we are doing at Verge.
02:57So we are taking all these same sensors from cameras to gyroscopes to a ton of different sensors and a
03:08lot of compute power.
03:09And we are putting them into our motorcycles, not to create autonomous drive, but to create a perfect AI-driven
03:16co-pilot
03:16that helps you to go around and enjoy your ride in a way that you've never been able to enjoy
03:23before.
03:23And this is the future that we are talking about today.
03:27And it's not very far.
03:28We are already in the process of shipping something very soon.
03:33The step one that we started with at Verge was to create a very powerful onboard computer.
03:39So this you can already have in the motorcycles that we ship today.
03:43I'm sure it's the most powerful computer ever put into a two-wheeler.
03:49But it doesn't stop there.
03:51The next step that we are going towards is to integrate the sensors and conversational AI into the motorcycles.
04:00We are in the process of having multiple 4K cameras, high-resolution radars, and many, many other sensors in the
04:10motorcycles
04:10to become fully aware of what's happening around the motorcycle to make them more fun to ride, but also to
04:17make them more safe.
04:19And here's a couple of things that we are focusing on at the moment.
04:24The very first thing is to make you fully immersed into the riding experience,
04:30and that starts with the helmet that we are working on with full spatial audio
04:34to be able to tell you exactly from which direction a potential car is coming towards you, for example, or
04:41something else.
04:42But we're also working on motorcycle-specific map data and services.
04:48Because all the information is already there, so that the motorcycle, as your perfect co-pilot or companion,
04:55should be able to tell you that there's a concert nearby that you may like while you're riding by it.
05:02Or that if you need to visit for a restroom, it could recommend your favorite cafeteria,
05:09because it knows what chain you like.
05:11And this type of information, being able to communicate with your voice, with the motorcycle,
05:18is where we are taking the technology next.
05:22And the other aspect is, for example, being able to, like, the computer already knows where it's going to rain
05:29with the map data, it already knows which roads have the most humps, or sand on the road, and these
05:35types of places.
05:36And unlike with your traditional navigational software, your motorcycle should never take you through a route where you get wet,
05:45or where there's bad riding conditions.
05:47And this is what we are doing with our map data and the different layers that we are adding there.
05:53And, of course, being able to not tap or touch the screen while you're riding,
06:00but rather use your voice to command and to speak with the computer in the motorcycle with your natural language
06:08is very, very important.
06:10And that's why we are training our own large language models and speech synthesis in order to communicate very naturally
06:18with the motorbike that you are riding.
06:21And, of course, all these features together create the kinds of safety features that you've never seen before,
06:28being able to fully understand the surroundings of the motorcycle with all the different cameras,
06:35stitching it together, and telling you exactly from which direction a car is coming.
06:41And the car doesn't even need to make sound.
06:43We know where it's coming from, so we can create the audio inside the helmet exactly from the right direction,
06:51so you know to be beware.
06:53For example, if you're starting to overtake a truck in front of you and there's a car coming fast behind
06:59you,
06:59we will make sure that you know, so that you will not end up in an accident.
07:04So this is the second phase, and this is what we are working on right now.
07:09But it doesn't stop in the second stage.
07:11There's also a third phase where truly the bike and the rider will become one.
07:18And this is more like giving superhuman powers to a bike rider.
07:23And the technology is already there.
07:27The steps that we are looking forward to make this one happen,
07:30and this will be sometime in the summer of next year when we will ship these features,
07:35is first of all, helmet with the full-size heads-up display.
07:40So we no longer need to just communicate to you via voice,
07:45but we can speak to you through what we show in front of your vision.
07:52And what I'm really excited about personally is this concept of extending your sensor capabilities
08:00as a person with all the sensors and inputs and outputs in the motorcycle itself.
08:07The motorcycle can see 360 degrees.
08:11It can hear 360 degrees much better than you can.
08:16And in order for you to be fully aware of what's happening around you,
08:21we will be able to extend your senses through the helmet
08:25and through the other wearables that we're working on
08:27in order to make sure that you know exactly what's happening around you.
08:32And this will make the bike the safest bike for you to ride.
08:36But also, it will be a lot of fun being able to not just step on a bike and ride
08:46it,
08:46but to truly, like, pluck and play yourself into the bike,
08:50almost like they do it in the movie Avatar,
08:53that you really start to extend your senses through the inputs and outputs.
09:01So, this is what we're working on.
09:03And if you think about it, the experience as somebody who rides a car
09:11and the autonomous driving and all of that,
09:13it's really, all of that is about moving from point A to point B.
09:19And it's great to be able to have discussion or work on your phone or laptop while doing that.
09:24But with motorcycles, it's not about moving from point A to point B.
09:28it's about enjoying the ride, it's about seeing nice places,
09:32it's about the experience, it's about the lifestyle.
09:36And however, most of that riding happens alone
09:40and it's not very safe to touch your phone or play with your laptop or something like that.
09:46You cannot do that.
09:47So, in order for you to be able to be productive on the road,
09:51but also to be ready to get into different types of experiences and surprises while riding,
09:57being able to utilize the latest machine learning and AI technologies
10:03to make the bike speak to you and answer your questions
10:08and take you through different places is what's really important.
10:12Let me give a simple example.
10:13Let's say I go to downtown Paris and I want to see some historical buildings.
10:20Normally, we would need to have pre-mapped the data
10:23and taken you through like London city bus type of thing
10:28that takes you through place to place and it's pre-scripted.
10:31But with today's technology, we don't need that.
10:34The machine vision on the bike will be able to recognize the building
10:38from the GPS coordinates and tell you that,
10:40hey, you were interested in historical buildings.
10:43Take left from the next and I'll show you the president's building behind that bus.
10:48Okay, there it is.
10:49Do you want to hear more about the history?
10:51They're taking you through national parks.
10:54And these are the types of things that are already available.
10:57We just need to put them together and provide them in a good experience.
11:01So that's what we're working on.
11:04But of course, it doesn't end there.
11:07After the phase three, there's more about the connectivity
11:10and the social aspects with the whole biking community.
11:13But I'll talk about that probably next year at this conference
11:16once we have shipped everything we're talking about today.
11:20The future of motorcycles and especially electric motorcycles
11:24is really, really exciting.
11:26And if you want to see part of the future,
11:31you can actually go today to a booth at the Mobility and Smart City Park
11:41and check out our latest version of the motorcycle
11:46that was just released yesterday here.
11:48It's the olive green version of Verge.
11:52And by the way, our upcoming computer upgrades
11:55that I've been talking about here
11:57where we're basically putting the most powerful chips
12:01and neural network processors ever put in an automotive.
12:05we are putting them on our bikes.
12:07All those upgrades will be free upgrades,
12:09even hardware, to all those who purchased the bikes.
12:12So if you're interested about the future of electric motorcycles,
12:17come and visit by our booth.
12:21And that's Verge.
12:23Thank you.
12:26All right.
12:27Thank you, Marco.
12:27Well, we've got time for a couple of questions on the bike.
12:32Please, anyone have a question about the bike?
12:35No?
12:37Yeah.
12:44Thank you.
12:45How many kilometers can do the bike in this entire life?
12:51The entire life?
12:53Yeah.
12:54Well, hundreds of thousands.
12:56More than you typically will ride with an electric motorcycle.
13:00Because our motor is built in a way
13:02that there's no moving parts.
13:04So there's almost zero maintenance.
13:05There's only two moving parts, and those are the tires.
13:08So it's the most durable motorbike probably ever built.
13:11So it will be able to take more than
13:14what you typically ride with a motorcycle.
13:17Yep.
13:18And so the motor is in the
13:23wheel?
13:25Yes, in the rim, yes.
13:26And it can be changed if it's broken?
13:29Of course, yes.
13:31Yes.
13:33Thank you.
13:35Please.
13:36Hi.
13:37In the factory, you talked about merging the senses of a person
13:41to the sensors of the motorbike.
13:43Yes.
13:44Just how would you do that?
13:46Okay.
13:47Yeah, sure.
13:48Simply.
13:49Yeah.
13:49So I'm not talking about implants or anything like that.
13:53I'm talking about, for example, your hearing is a sensor.
13:56Your vision is a sensor.
13:59Your hands being able to experience and feel through haptic feedback,
14:04for example, that a car is on the left taking you by
14:09so that you will not start moving there and crashing.
14:12So these are the types of things.
14:13So basically, all the different sensory inputs that you have,
14:17we will add to those mainly through the helmet,
14:19but also through different wearables.
14:21And then, on the other hand, taking input from you,
14:26from voice, and probably even through your iris and vision
14:30in the later stages, that's kind of what we mean by that.
14:33Yeah.
14:34Okay.
14:35Thank you.
14:35That's all the time we have.
14:36We can find Verge in the Mobility and Smart City Park over here.
14:42Ladies and gentlemen, Marco from Verge.
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