1 00:00:01,960 --> 00:00:05,360 Speaker 1: Welcome to the exciting world of the Airspeeder Exo Grand Prix, 2 00:00:05,640 --> 00:00:09,040 Speaker 1: where technology and racing merge to create a thrilling future. 3 00:00:09,760 --> 00:00:12,000 Speaker 1: As we venture into the high tech world of electric 4 00:00:12,039 --> 00:00:14,920 Speaker 1: flying car racing, we begin in the bustling pit area 5 00:00:15,080 --> 00:00:17,880 Speaker 1: where software engineers are hard at work. The clattering of 6 00:00:17,960 --> 00:00:20,959 Speaker 1: keys the soft hum of computers being fine tuned to 7 00:00:20,960 --> 00:00:25,360 Speaker 1: perfection create an atmosphere of intense focus. The pit crews, 8 00:00:25,560 --> 00:00:28,880 Speaker 1: running through lines of code work diligently to ensure that 9 00:00:28,920 --> 00:00:33,800 Speaker 1: the racing supercomputers are operating smoothly, ready to calculate every twist, 10 00:00:34,240 --> 00:00:38,320 Speaker 1: turn and speed boost. And of course, the drone racing area, 11 00:00:38,520 --> 00:00:40,560 Speaker 1: where the pilots gear up with their state of the 12 00:00:40,640 --> 00:00:45,000 Speaker 1: art controls and gamer gloves. These skilled drone pilots are 13 00:00:45,000 --> 00:00:47,440 Speaker 1: now ready to race their powerful machines through a high 14 00:00:47,440 --> 00:00:53,120 Speaker 1: speed course. Meanwhile, sleek futuristic racing drones a weight competition. 15 00:00:53,560 --> 00:00:57,680 Speaker 1: With their aerodynamic designs and electric power systems. These vehicles 16 00:00:57,840 --> 00:01:00,720 Speaker 1: are a glimpse of the future of transportation. As the 17 00:01:00,800 --> 00:01:04,080 Speaker 1: race countdown begins, the energy at the racetrack is palpable, 18 00:01:04,920 --> 00:01:07,920 Speaker 1: and now the race is underway, the flying cars raw 19 00:01:07,920 --> 00:01:14,520 Speaker 1: into action. The future of transportation is here. It's fast, furious, 20 00:01:14,880 --> 00:01:23,760 Speaker 1: and filled with endless possibilities. Hey there, I'm gram Class 21 00:01:24,120 --> 00:01:27,640 Speaker 1: and this is technically speaking an Intel podcast. The show 22 00:01:27,680 --> 00:01:31,600 Speaker 1: is dedicated to highlighting technology is revolutionizing the way we live, 23 00:01:31,880 --> 00:01:35,880 Speaker 1: work and move. In every episode, we'll connect with innovators 24 00:01:35,880 --> 00:01:39,000 Speaker 1: in areas like artificial intelligence to better understand the human 25 00:01:39,040 --> 00:01:43,640 Speaker 1: centered technology they've developed. Advanced technology has always been presented 26 00:01:43,680 --> 00:01:46,800 Speaker 1: to us in ideas of the future, with iconic scenes 27 00:01:46,840 --> 00:01:49,920 Speaker 1: from movies and TV like Blade Runner, The Fifth Element, 28 00:01:50,120 --> 00:01:53,760 Speaker 1: Star Trek, and The Jetsons. Flying cars have always been 29 00:01:53,800 --> 00:01:55,680 Speaker 1: a part of our vision of what the future could 30 00:01:55,760 --> 00:01:58,440 Speaker 1: look like. What if that future is not as far 31 00:01:58,520 --> 00:02:01,560 Speaker 1: away as we think. There have been several iterations of 32 00:02:01,600 --> 00:02:04,040 Speaker 1: flying vehicles over the years, and there is a newer 33 00:02:04,120 --> 00:02:06,800 Speaker 1: version that has been branded as the f One of 34 00:02:06,880 --> 00:02:11,600 Speaker 1: flying Cars. The airspeed XER is a remotely piloted electric 35 00:02:12,000 --> 00:02:16,000 Speaker 1: vertical takeoff and landing racing series. The EXER series was 36 00:02:16,040 --> 00:02:18,880 Speaker 1: announced in November twenty twenty one and the first races 37 00:02:18,919 --> 00:02:22,200 Speaker 1: were held in twenty twenty two in South Australia. The 38 00:02:22,240 --> 00:02:24,960 Speaker 1: EXA series is a development program for the air Speeder 39 00:02:25,000 --> 00:02:28,040 Speaker 1: Grand Prix races which are planned for twenty twenty four. 40 00:02:28,680 --> 00:02:31,239 Speaker 1: But my guest today are the real experts in this technology. 41 00:02:33,600 --> 00:02:37,040 Speaker 1: Joining me now is Peter Kearney, Hailing from Sydney, Australia. 42 00:02:37,400 --> 00:02:40,640 Speaker 1: Peter is an enterprise solutions architect for Intel, where he 43 00:02:40,680 --> 00:02:44,120 Speaker 1: works to find interesting integrations between AI and the business world, 44 00:02:44,480 --> 00:02:48,200 Speaker 1: further expanding the Internet of Things pipeline. With over twenty 45 00:02:48,320 --> 00:02:51,520 Speaker 1: years of software engineering experience, Peter joined Intel in two 46 00:02:51,520 --> 00:02:53,600 Speaker 1: thousand and one and has risen through the ranks with 47 00:02:53,680 --> 00:02:57,200 Speaker 1: his education to finding end user solutions that propel technological 48 00:02:57,200 --> 00:03:01,160 Speaker 1: advancements and making tools accessible to business owners and other 49 00:03:01,200 --> 00:03:05,520 Speaker 1: state owners. Welcomputer Thanks also here with US is co 50 00:03:05,600 --> 00:03:09,480 Speaker 1: founder and the chief commercial Officer of Airspeeder. Jack Withinshaw. 51 00:03:09,919 --> 00:03:13,120 Speaker 1: Airspeeder is an electric hydride powered flying car racing series 52 00:03:13,400 --> 00:03:17,160 Speaker 1: set to begin competitions in twenty twenty four. Before joining Airspeeder, 53 00:03:17,240 --> 00:03:19,800 Speaker 1: Jack was an executive in the aeronautics field, as well 54 00:03:19,840 --> 00:03:22,959 Speaker 1: as the commercial director and consultant for various tech companies. 55 00:03:23,400 --> 00:03:25,760 Speaker 1: As a leader in sales and business development, he has 56 00:03:25,800 --> 00:03:29,480 Speaker 1: been responsible for spearheading commercial campaigns in Australia and the UK. 57 00:03:30,160 --> 00:03:32,840 Speaker 1: In his current role with air Speeder, He cumminates his 58 00:03:32,919 --> 00:03:36,640 Speaker 1: expertise in aeronautics, sales and business development with a passion 59 00:03:36,760 --> 00:03:38,120 Speaker 1: for sports and new media. 60 00:03:38,720 --> 00:03:40,920 Speaker 2: Welcome to the show, Jack, Thank you for having me. 61 00:03:44,880 --> 00:03:47,560 Speaker 1: Peter. I want to start with a brief discussion on 62 00:03:47,600 --> 00:03:49,840 Speaker 1: the Internet of things. In fact, we have heard this 63 00:03:49,920 --> 00:03:53,480 Speaker 1: being mentioned previously in our podcast. So could you explain 64 00:03:53,600 --> 00:03:56,280 Speaker 1: your words what internet of things means? Yeah? 65 00:03:56,360 --> 00:03:59,840 Speaker 3: Sure, As we're seeing lots of business use cases for 66 00:04:00,600 --> 00:04:04,840 Speaker 3: how do we make efficient infrastructure, how do we control 67 00:04:05,000 --> 00:04:10,520 Speaker 3: energy grids? We need to instrument this infrastructure. So you 68 00:04:10,680 --> 00:04:14,680 Speaker 3: put a whole bunch of things connecting and monitoring everything, 69 00:04:15,160 --> 00:04:18,760 Speaker 3: and then you get the data and the information back 70 00:04:18,800 --> 00:04:25,120 Speaker 3: from those things into a central platform massage analyze it, 71 00:04:25,360 --> 00:04:29,919 Speaker 3: look for trends, and then make intelligent decisions on what 72 00:04:30,080 --> 00:04:33,679 Speaker 3: could be going on in that infrastructure. And as we've seen, 73 00:04:33,760 --> 00:04:37,240 Speaker 3: there's been all sorts of different numbers, but I've seen 74 00:04:37,320 --> 00:04:42,159 Speaker 3: numbers as high as fifty billion connected devices. Yeah, you 75 00:04:42,320 --> 00:04:45,839 Speaker 3: just look at your own router at home. I've got 76 00:04:45,880 --> 00:04:49,520 Speaker 3: probably fifty to one hundred things connected to my router. 77 00:04:50,200 --> 00:04:53,000 Speaker 3: But I guess I'm a tech guy, so that's part 78 00:04:53,040 --> 00:04:53,520 Speaker 3: of the job. 79 00:04:53,839 --> 00:04:56,000 Speaker 1: I wonder if your tast is connected to it, NA 80 00:04:56,279 --> 00:05:01,160 Speaker 1: tasted is not. And what are some the I guess 81 00:05:01,279 --> 00:05:05,000 Speaker 1: enterprise level examples that you could give where companies are 82 00:05:05,080 --> 00:05:09,559 Speaker 1: using this information to get that competitive advantage or to 83 00:05:09,600 --> 00:05:12,000 Speaker 1: provide better products and services. 84 00:05:12,680 --> 00:05:15,800 Speaker 3: Yeah, we've certainly seen a lot of things in agriculture, 85 00:05:16,320 --> 00:05:18,880 Speaker 3: that's an obvious one, where people are trying to get 86 00:05:18,960 --> 00:05:23,120 Speaker 3: better crop yields, better quality product in order to achieve 87 00:05:23,240 --> 00:05:28,279 Speaker 3: competitive advantage. Certainly, as I mentioned the energy sector, so 88 00:05:28,440 --> 00:05:32,640 Speaker 3: looking at power plants and gas plants, a lot of 89 00:05:32,680 --> 00:05:36,800 Speaker 3: those things are based around not only production quality, but 90 00:05:36,880 --> 00:05:41,400 Speaker 3: also safety aspects, making sure that nothing's going to go 91 00:05:41,560 --> 00:05:44,960 Speaker 3: wrong in that gas processing plant. Pretty important thing. 92 00:05:45,920 --> 00:05:49,520 Speaker 1: And how do you see AI and the techniques that's 93 00:05:49,600 --> 00:05:54,760 Speaker 1: now coming up fitting into the Internet of pipeline's ecosystem. 94 00:05:55,120 --> 00:05:59,200 Speaker 3: AI is really an umbrella term, so it encompasses like 95 00:05:59,279 --> 00:06:04,279 Speaker 3: traditional machine learning and traditional data analytics pipelines as well. 96 00:06:04,920 --> 00:06:07,960 Speaker 3: And so we do see a lot of things, Especially 97 00:06:08,040 --> 00:06:11,799 Speaker 3: at Intel, a lot of our customers in the manufacturing sector, 98 00:06:12,279 --> 00:06:19,520 Speaker 3: they're using AI techniques for analyzing vibration in machines to 99 00:06:19,560 --> 00:06:25,040 Speaker 3: do preactive failure analysis to understand when bearings are going 100 00:06:25,080 --> 00:06:30,159 Speaker 3: to go or using new video techniques to look for 101 00:06:30,320 --> 00:06:35,080 Speaker 3: quality assurance QA use cases to make sure components have 102 00:06:35,200 --> 00:06:40,000 Speaker 3: been mounted properly on circuit boards using vision systems. And 103 00:06:40,040 --> 00:06:43,640 Speaker 3: that's an AI technique video analytics. 104 00:06:42,960 --> 00:06:48,680 Speaker 1: Now, okay, And is there any initiatives going on particularly 105 00:06:48,760 --> 00:06:52,680 Speaker 1: around the transportation and air travel industry at Intel. 106 00:06:52,920 --> 00:06:56,280 Speaker 3: Well, the relationship with air Speeder is still very new 107 00:06:56,400 --> 00:06:59,920 Speaker 3: and in its infancy, so we're still working out where 108 00:07:00,120 --> 00:07:04,359 Speaker 3: the best places to engage are. But Intel is doing 109 00:07:04,400 --> 00:07:08,880 Speaker 3: a lot of engagement in the avionics space, so looking 110 00:07:09,000 --> 00:07:14,360 Speaker 3: at real time systems, safety critical systems, working with some 111 00:07:14,520 --> 00:07:18,480 Speaker 3: organizations around the future of avionics, which does involve a 112 00:07:18,480 --> 00:07:24,280 Speaker 3: lot of AI use cases for collision avoidance, safety systems, 113 00:07:24,480 --> 00:07:29,600 Speaker 3: traffic monitoring, and flow and control. So lots of AI 114 00:07:29,760 --> 00:07:32,600 Speaker 3: use cases coming down in the avionics sector. 115 00:07:33,280 --> 00:07:36,680 Speaker 1: Okay, And before I get Jack involved, just maybe a 116 00:07:36,680 --> 00:07:39,440 Speaker 1: bit of the background story about how you two met. 117 00:07:39,400 --> 00:07:43,360 Speaker 3: Well, I got engaged secondhand. I guess in the project 118 00:07:43,880 --> 00:07:48,240 Speaker 3: one of our account executives, mister Andrew Ridley, met Jack, 119 00:07:48,320 --> 00:07:53,720 Speaker 3: I believe, and started a conversation. And Andrews started talking 120 00:07:53,720 --> 00:07:56,680 Speaker 3: about the kinds of things Intel does and we saw 121 00:07:56,760 --> 00:08:00,720 Speaker 3: some very useful alignment with a lot of the technologies 122 00:08:00,840 --> 00:08:04,320 Speaker 3: and the things Intel is working on and how they 123 00:08:04,360 --> 00:08:08,880 Speaker 3: could be applicable to Airspeeder and to Alloweder Aeronautics. 124 00:08:09,360 --> 00:08:11,440 Speaker 1: So, Jack, I'd like to get your story about what 125 00:08:11,520 --> 00:08:14,200 Speaker 1: drew you to forming this company Airspeeder. 126 00:08:14,960 --> 00:08:17,960 Speaker 2: Sure, well, we started back in twenty nineteen, but the 127 00:08:18,040 --> 00:08:21,600 Speaker 2: idea is it's been around for ages. I guess the 128 00:08:21,640 --> 00:08:24,800 Speaker 2: idea of flying car racing is something we've always had 129 00:08:24,880 --> 00:08:28,720 Speaker 2: in popular culture for decades now. We talk about Star Wars, 130 00:08:28,800 --> 00:08:31,400 Speaker 2: Chichi Bang Bang, back to the future, the stuff that 131 00:08:31,440 --> 00:08:35,200 Speaker 2: we were promised. But my co founder, Matt Pearson and 132 00:08:35,200 --> 00:08:37,880 Speaker 2: I he first pitched the idea at me up in 133 00:08:37,880 --> 00:08:40,840 Speaker 2: the hinterlands of Mongolia. We were actually up on the 134 00:08:40,880 --> 00:08:43,480 Speaker 2: Siberian borders and I think we're up there for ten 135 00:08:43,600 --> 00:08:47,040 Speaker 2: days on horseback riding around. And maybe it was because 136 00:08:47,040 --> 00:08:50,079 Speaker 2: we were nutritionally deprived and sleep deprived and everything, but 137 00:08:50,120 --> 00:08:52,160 Speaker 2: the idea made a lot of sense. The simple truth 138 00:08:52,320 --> 00:08:56,920 Speaker 2: was that every mobility revolution has always started with racing 139 00:08:57,040 --> 00:08:59,840 Speaker 2: at the forefront of it, and then with the evil 140 00:09:00,400 --> 00:09:04,040 Speaker 2: of electric batteries, electric propulsion, as well as the scale 141 00:09:04,120 --> 00:09:07,280 Speaker 2: up of hobby grade drones now to industrial size. There 142 00:09:07,320 --> 00:09:10,280 Speaker 2: was a convergence of technology and opportunity which meant that 143 00:09:10,840 --> 00:09:13,680 Speaker 2: flying cars could become a reality, But the question was how, 144 00:09:14,280 --> 00:09:17,480 Speaker 2: and that's where racing came in. As has said, it's 145 00:09:17,520 --> 00:09:19,480 Speaker 2: not a new idea, and maybe it's because there's students 146 00:09:19,520 --> 00:09:21,400 Speaker 2: of history that it just made a lot more sense 147 00:09:21,440 --> 00:09:24,400 Speaker 2: for us. But started there and then with that simple logic, 148 00:09:24,880 --> 00:09:26,680 Speaker 2: we've just been following our feet since then. 149 00:09:27,440 --> 00:09:30,559 Speaker 1: And for listeners who are familiar with the hobby drones, 150 00:09:30,600 --> 00:09:34,480 Speaker 1: could you explain perhaps the major differences between those hobby 151 00:09:34,559 --> 00:09:37,680 Speaker 1: drones of what you're trying to create with these racing drones. 152 00:09:38,120 --> 00:09:41,360 Speaker 2: Absolutely so, drones are becoming increasingly a part of our 153 00:09:41,520 --> 00:09:45,320 Speaker 2: everyday lives for using them for all sifferent substituations. There's 154 00:09:45,480 --> 00:09:49,880 Speaker 2: drones being used in fertilization, in crop scanning, there's drones 155 00:09:49,960 --> 00:09:54,760 Speaker 2: used in emergency services and construction. What we're doing is 156 00:09:54,760 --> 00:09:58,360 Speaker 2: a little bit different. They're consideredly bigger. Our speeders, as 157 00:09:58,400 --> 00:10:00,520 Speaker 2: we call them, about four and a half meet is long. 158 00:10:01,040 --> 00:10:03,080 Speaker 2: The Mark III, the one that we've been flying at 159 00:10:03,080 --> 00:10:06,800 Speaker 2: the moment, is fully electric and they've been designed so 160 00:10:06,920 --> 00:10:09,679 Speaker 2: that we can put a pilot into these vehicles as well. 161 00:10:10,400 --> 00:10:12,080 Speaker 2: So they are a drone in the sense that they 162 00:10:12,120 --> 00:10:15,400 Speaker 2: have a multi rotor their electric propulsion. But when you 163 00:10:15,400 --> 00:10:17,560 Speaker 2: start to put somebody in them, you start thinking about racing, 164 00:10:18,040 --> 00:10:21,040 Speaker 2: the line between drones and flying cars becomes quite thin. 165 00:10:22,559 --> 00:10:25,839 Speaker 1: Drone racing is such an interesting concept to me. From 166 00:10:26,040 --> 00:10:29,960 Speaker 1: Formula One and NASCAR racing circuits have always highlighted the 167 00:10:30,040 --> 00:10:33,160 Speaker 1: hard work engineers put into giving their cars that extra 168 00:10:33,280 --> 00:10:37,240 Speaker 1: edge on the track. Now, with these large racing drones, 169 00:10:37,920 --> 00:10:41,520 Speaker 1: engineers not only have to deal with two dimensions like 170 00:10:41,520 --> 00:10:44,760 Speaker 1: on a normal racetrack, we now have to consider these 171 00:10:44,800 --> 00:10:49,240 Speaker 1: flying vehicles in three dimensions. This coupled with the remote 172 00:10:49,280 --> 00:10:52,800 Speaker 1: piloting aspect. I'm interested to hear more about what other 173 00:10:52,840 --> 00:10:58,640 Speaker 1: engineering hacks Airspeeder discovered on their journey and in terms 174 00:10:58,640 --> 00:11:02,320 Speaker 1: of the structure of how you you organize the racing events, 175 00:11:02,840 --> 00:11:05,319 Speaker 1: maybe you could spend a couple of minutes explaining how 176 00:11:05,360 --> 00:11:07,720 Speaker 1: that competition's going to work. Yeah. 177 00:11:07,800 --> 00:11:10,800 Speaker 2: Sure. So there's got two sides to our entity. We've 178 00:11:10,840 --> 00:11:14,120 Speaker 2: got Airspeed of the sport, which is headquartered here in London, 179 00:11:14,640 --> 00:11:17,600 Speaker 2: and then we've got a Louder Aeronautics which is in Australia, 180 00:11:17,920 --> 00:11:20,440 Speaker 2: and that's where we manufacture all the vehicles that compete 181 00:11:20,480 --> 00:11:24,800 Speaker 2: within the Airspeeder series. So we're building, flying, testing, even 182 00:11:24,840 --> 00:11:27,120 Speaker 2: crashing these four and a half middle long speeders in 183 00:11:27,160 --> 00:11:31,200 Speaker 2: the deserts of South Australia, and they are the vehicles 184 00:11:31,200 --> 00:11:34,280 Speaker 2: that we are testing. But also we'll start racing this 185 00:11:34,440 --> 00:11:36,720 Speaker 2: year and then we've got our first crewed vehicles coming 186 00:11:36,760 --> 00:11:40,120 Speaker 2: through at the moment, so manned vehicles which we pilsted 187 00:11:40,200 --> 00:11:41,440 Speaker 2: and raced in twenty twenty four. 188 00:11:42,160 --> 00:11:44,719 Speaker 1: Okay, great, and I managed to see some of the 189 00:11:44,960 --> 00:11:47,480 Speaker 1: videos on YouTube that you have. I had encouraged all 190 00:11:47,520 --> 00:11:48,960 Speaker 1: of our listeners to have a look at that. Just 191 00:11:49,000 --> 00:11:51,520 Speaker 1: do a search for air Speeder, just to see some 192 00:11:51,640 --> 00:11:54,720 Speaker 1: of the trials and tribulations that go through the creation 193 00:11:54,840 --> 00:11:57,280 Speaker 1: of these machines. You know, as soon as I heard 194 00:11:57,280 --> 00:11:59,640 Speaker 1: about air speed I kind of thought of the parallels 195 00:11:59,679 --> 00:12:02,960 Speaker 1: between your F one racing with the technology going on there, 196 00:12:03,000 --> 00:12:05,880 Speaker 1: and then a few years later downstream it makes its 197 00:12:05,920 --> 00:12:08,719 Speaker 1: way into the consumer products. Maybe you could share your 198 00:12:08,720 --> 00:12:13,000 Speaker 1: thoughts around the technology that you're producing in particularly the 199 00:12:13,040 --> 00:12:16,559 Speaker 1: AI and the Internet of things devices, and how that 200 00:12:16,640 --> 00:12:21,480 Speaker 1: could then move into more consumer based products in the future. 201 00:12:21,880 --> 00:12:23,920 Speaker 2: Yeah, sure, so, I guess It comes back to the 202 00:12:23,960 --> 00:12:26,800 Speaker 2: idea of racing being one of the first applications for 203 00:12:26,840 --> 00:12:31,640 Speaker 2: any new mobility revolution. And that isn't just because there 204 00:12:31,760 --> 00:12:34,920 Speaker 2: is a setup, a governance and ability to be able 205 00:12:34,920 --> 00:12:37,320 Speaker 2: to do it that is I guess less rigorous than 206 00:12:37,360 --> 00:12:40,839 Speaker 2: the commercial space. It also is a great place and 207 00:12:40,960 --> 00:12:43,800 Speaker 2: space to be able to test new technologies, and most 208 00:12:43,800 --> 00:12:47,720 Speaker 2: sport does this famously, so seat belts, disc brakes, abs, 209 00:12:47,760 --> 00:12:50,520 Speaker 2: revision mirrors, everything that we have in our everyday car 210 00:12:50,600 --> 00:12:53,160 Speaker 2: that we drive has at some point by passed through 211 00:12:53,200 --> 00:12:56,000 Speaker 2: the white heat of competition at the motorsport levels. So 212 00:12:56,040 --> 00:12:59,840 Speaker 2: it's famous for having quite significant investment technology but also 213 00:13:00,280 --> 00:13:04,800 Speaker 2: a downstream trickle effect into the everyday market. Now, when 214 00:13:04,880 --> 00:13:07,960 Speaker 2: Pete just talked about how we first met Intel, Andrew 215 00:13:08,200 --> 00:13:11,160 Speaker 2: obviously was quite attracted to the speeders. They are great 216 00:13:11,160 --> 00:13:15,160 Speaker 2: looking machines. But I think where Intel and air Speeder 217 00:13:15,600 --> 00:13:18,800 Speaker 2: formed a deep understanding of where this is going, how 218 00:13:18,840 --> 00:13:22,000 Speaker 2: this is speared in the industry is around the infrastructure 219 00:13:22,160 --> 00:13:23,840 Speaker 2: that is needed to be able to keep these vehicles 220 00:13:23,840 --> 00:13:26,079 Speaker 2: in the air. So it's not just about the vehicles 221 00:13:26,120 --> 00:13:29,120 Speaker 2: and the speeders themselves, it's also about the network the 222 00:13:29,160 --> 00:13:32,120 Speaker 2: vehicle to vehicle communication, how these vehicles are talking to 223 00:13:32,160 --> 00:13:35,480 Speaker 2: their pit crews, their race crews, that telemetry, that volume 224 00:13:35,520 --> 00:13:37,760 Speaker 2: of data that needs to be processed at the edge 225 00:13:37,760 --> 00:13:42,319 Speaker 2: and then sent the engineers. That really is a microcosm 226 00:13:42,360 --> 00:13:44,440 Speaker 2: of the city of the future. It's not just a racetrack. 227 00:13:44,720 --> 00:13:46,280 Speaker 2: This is the future of what our seats are going 228 00:13:46,320 --> 00:13:46,800 Speaker 2: to look like. 229 00:13:47,520 --> 00:13:49,559 Speaker 1: Perhaps, Peter, if you want to jump in with your 230 00:13:49,600 --> 00:13:54,319 Speaker 1: thoughts around Intel's role in shaping that future of human mobility. 231 00:13:54,920 --> 00:13:57,520 Speaker 3: Yeah, absolutely, And just to sort of touch on what 232 00:13:57,640 --> 00:14:02,200 Speaker 3: Jack was just talking about, Intel is very critical in 233 00:14:02,520 --> 00:14:05,760 Speaker 3: five G infrastructure. We work with all the major telcos, 234 00:14:05,880 --> 00:14:10,120 Speaker 3: all the major what are called temes telco equipment manufacturers, 235 00:14:10,880 --> 00:14:13,840 Speaker 3: and so one of the work packages we've got going 236 00:14:14,000 --> 00:14:19,080 Speaker 3: with air Speeder and Telstra is around private five G 237 00:14:19,240 --> 00:14:24,880 Speaker 3: networks because of the critical need to not only control 238 00:14:25,120 --> 00:14:29,000 Speaker 3: the speeders themselves, but this is a sport. It's all 239 00:14:29,040 --> 00:14:34,440 Speaker 3: about the spectacle and the video the race. So all 240 00:14:34,440 --> 00:14:37,760 Speaker 3: of that information and data has to come back from 241 00:14:37,760 --> 00:14:42,640 Speaker 3: the speeders down into production systems, and so we're definitely 242 00:14:42,680 --> 00:14:46,600 Speaker 3: looking at that as well. Then we're also talking to 243 00:14:46,640 --> 00:14:49,960 Speaker 3: them about leveraging some of the work that Intel's been 244 00:14:50,000 --> 00:14:55,400 Speaker 3: doing with the Olympics around broadcast systems and production systems, 245 00:14:55,880 --> 00:14:58,680 Speaker 3: some of the stuff we've got going on with F one. 246 00:14:58,840 --> 00:15:01,040 Speaker 3: So yeah, there's lots of of things we can bring 247 00:15:01,200 --> 00:15:04,120 Speaker 3: to the air Speeder sort of racing series if you 248 00:15:04,280 --> 00:15:05,480 Speaker 3: like excellent. 249 00:15:06,000 --> 00:15:08,840 Speaker 1: Can you give us some examples of where it's helped 250 00:15:08,880 --> 00:15:11,880 Speaker 1: with both performance and the safety of the flying car 251 00:15:12,040 --> 00:15:12,800 Speaker 1: racing events? 252 00:15:13,400 --> 00:15:16,840 Speaker 2: Jack, Yeah, So as a question of safety, the first 253 00:15:16,840 --> 00:15:19,760 Speaker 2: thing I think about is you need a rigorous network 254 00:15:19,960 --> 00:15:22,400 Speaker 2: to be able to have the pilot talking to the vehicle. 255 00:15:22,960 --> 00:15:25,320 Speaker 2: That's the first thing. The next is when you introduce 256 00:15:25,400 --> 00:15:28,400 Speaker 2: multiple vehicles into the mix and they have to have 257 00:15:28,440 --> 00:15:31,560 Speaker 2: a communication with each other as well. So it's something 258 00:15:31,600 --> 00:15:35,360 Speaker 2: we're just starting with Intels. The next phase of how 259 00:15:35,360 --> 00:15:37,600 Speaker 2: do these vehicles talk to each other? How can they 260 00:15:37,600 --> 00:15:43,320 Speaker 2: communicate safely? We want to create somethinglike a force field 261 00:15:43,560 --> 00:15:46,560 Speaker 2: or a digital bubble around the vehicles so they don't 262 00:15:46,600 --> 00:15:49,680 Speaker 2: physically touch, but can digitally bump. And that will take 263 00:15:49,720 --> 00:15:51,560 Speaker 2: a lot of processing power to be able to get 264 00:15:51,600 --> 00:15:52,680 Speaker 2: us to that position. 265 00:15:55,960 --> 00:16:09,120 Speaker 1: We'll be right back after a quick break. Welcome back 266 00:16:09,240 --> 00:16:17,400 Speaker 1: to Technically Speaking an Intel podcast. Maybe you could give 267 00:16:17,440 --> 00:16:21,080 Speaker 1: a little bit more explanation around some of the tech 268 00:16:21,120 --> 00:16:23,440 Speaker 1: that's actually on those vehicles, in terms of is it 269 00:16:23,480 --> 00:16:25,880 Speaker 1: a vision system, what sort of sensors are on there. 270 00:16:26,440 --> 00:16:31,000 Speaker 3: Yeah, so we're working on systems for telemetry because, as 271 00:16:31,160 --> 00:16:37,360 Speaker 3: Jack said, it's really about safety and control and robust communications. 272 00:16:38,080 --> 00:16:40,440 Speaker 3: If something's going wrong with the speeder, you need to 273 00:16:40,480 --> 00:16:43,720 Speaker 3: be able to send it a kill pill to stop 274 00:16:44,200 --> 00:16:48,320 Speaker 3: drop power off, so that sort of communication, but it 275 00:16:48,440 --> 00:16:51,200 Speaker 3: also has to be real time. There's a whole bunch 276 00:16:51,280 --> 00:16:55,800 Speaker 3: of standards when you start talking about putting people in aircraft. 277 00:16:56,480 --> 00:17:04,879 Speaker 3: There's standards around air worthiness and safety levels, about catastrophic 278 00:17:05,240 --> 00:17:10,320 Speaker 3: versus hazardous versus minor safety effects. So as we go 279 00:17:10,440 --> 00:17:13,439 Speaker 3: forward into the design of the Mark four, which is 280 00:17:13,640 --> 00:17:18,439 Speaker 3: from the ground up a crude piloted vehicle, there's a 281 00:17:18,480 --> 00:17:23,040 Speaker 3: lot of regulatory requirements have to be taken into effect, 282 00:17:23,680 --> 00:17:26,760 Speaker 3: and so we're definitely looking at leveraging. 283 00:17:26,320 --> 00:17:26,760 Speaker 1: Some of that. 284 00:17:27,320 --> 00:17:30,199 Speaker 3: We're also working with a lot of companies in the 285 00:17:30,320 --> 00:17:34,440 Speaker 3: US around the future of avionics. What does it look 286 00:17:34,560 --> 00:17:38,000 Speaker 3: like when you start to have a lot of vehicles 287 00:17:38,000 --> 00:17:41,560 Speaker 3: in the sky, situational awareness becomes very important. 288 00:17:42,200 --> 00:17:45,480 Speaker 1: So in terms of the use of AI techniques, what's 289 00:17:45,520 --> 00:17:46,440 Speaker 1: the potential there. 290 00:17:47,040 --> 00:17:51,320 Speaker 3: Yeah, obviously we were talking about safety and collision avoidance, 291 00:17:51,359 --> 00:17:55,280 Speaker 3: and Jack was talking about the virtual bubble, the speed 292 00:17:55,359 --> 00:17:58,280 Speaker 3: these things are projected to go out. You really need 293 00:17:58,320 --> 00:18:01,960 Speaker 3: to be using AI techniques to say, what is the 294 00:18:02,200 --> 00:18:05,680 Speaker 3: likelihood that that vehicle is going to be in that 295 00:18:05,760 --> 00:18:09,119 Speaker 3: position that I'm going to be in in about a 296 00:18:09,240 --> 00:18:13,840 Speaker 3: quarter of a second. Because I race to aeroplanes and 297 00:18:14,320 --> 00:18:17,920 Speaker 3: at three hundred kilometers an hour, and they move very 298 00:18:17,960 --> 00:18:20,439 Speaker 3: quickly and they can cover a lot of ground in 299 00:18:20,600 --> 00:18:24,280 Speaker 3: very short periods of time. So real time systems and 300 00:18:24,800 --> 00:18:27,720 Speaker 3: real time AI and analytics is going to be extremely 301 00:18:27,760 --> 00:18:30,480 Speaker 3: important for the safety aspects of this sport. 302 00:18:31,280 --> 00:18:34,560 Speaker 1: It only makes sense that such a technologically savvy sport 303 00:18:34,760 --> 00:18:37,920 Speaker 1: would use AI to configure some sort of safety precautions 304 00:18:37,920 --> 00:18:41,119 Speaker 1: for it. Not only do the sensors and AI number 305 00:18:41,119 --> 00:18:44,480 Speaker 1: crunching help with safely piloting the drones, but it can 306 00:18:44,480 --> 00:18:48,080 Speaker 1: also monitor the power consumption of these racing vehicles. With 307 00:18:48,240 --> 00:18:51,760 Speaker 1: racing becoming more conscious of its environmental impact, I do 308 00:18:51,840 --> 00:18:55,160 Speaker 1: wonder how as Bitter plans to implement AI to better 309 00:18:55,200 --> 00:19:00,159 Speaker 1: monitor its carbon emissions. What's some of the things that 310 00:19:00,600 --> 00:19:03,600 Speaker 1: Intel are doing to try and reduce the environmental impacts 311 00:19:03,600 --> 00:19:06,520 Speaker 1: for the data processing and data collecting. 312 00:19:07,320 --> 00:19:11,520 Speaker 3: So last year Intel was voted by Barons as being 313 00:19:11,640 --> 00:19:17,240 Speaker 3: the number one sustainable company. So we take sustainability very 314 00:19:17,320 --> 00:19:22,600 Speaker 3: seriously at Intel. Our products are produced sustainably. We have 315 00:19:22,640 --> 00:19:28,320 Speaker 3: a lot of initiatives around green energy, around hazardous materials, 316 00:19:28,480 --> 00:19:33,560 Speaker 3: around water recycling in our manufacturing plants. So we'd say 317 00:19:33,600 --> 00:19:38,280 Speaker 3: the fourth generation Xeon is the world's most sustainable processor, 318 00:19:38,960 --> 00:19:42,119 Speaker 3: and so it's got a lot of technology built into 319 00:19:42,160 --> 00:19:47,240 Speaker 3: the processor to accelerate these next generation of workloads such 320 00:19:47,280 --> 00:19:51,639 Speaker 3: as AI. So reducing the amount of energy used for 321 00:19:51,960 --> 00:19:55,480 Speaker 3: AI starts at the processor. 322 00:19:55,920 --> 00:19:59,480 Speaker 1: And how do you see SBDA reducing environmental impacts. 323 00:20:00,200 --> 00:20:02,600 Speaker 2: So what we wanted to do is do something that 324 00:20:02,640 --> 00:20:05,680 Speaker 2: most sports hasn't done the past. So we don't need 325 00:20:05,960 --> 00:20:08,600 Speaker 2: physical timac we don't need tracks. We can race and 326 00:20:08,640 --> 00:20:12,800 Speaker 2: set up in remote locations. We want to champion electric mobility, 327 00:20:13,440 --> 00:20:17,280 Speaker 2: and we want to be able to have small amounts 328 00:20:17,280 --> 00:20:20,480 Speaker 2: of crew and guests on site, so we don't create 329 00:20:20,560 --> 00:20:22,919 Speaker 2: a huge footprint for these races, yet be able to 330 00:20:22,920 --> 00:20:26,000 Speaker 2: show it and globally broadcast that have people experience it 331 00:20:26,000 --> 00:20:29,199 Speaker 2: in their living room, start playing it, and esports and 332 00:20:29,760 --> 00:20:31,840 Speaker 2: start to enjoy it without having too much of an 333 00:20:31,880 --> 00:20:35,800 Speaker 2: impact on the ground. We're really encouraging kind of sustainability 334 00:20:35,840 --> 00:20:37,760 Speaker 2: throughout the whole ecosystem. 335 00:20:38,200 --> 00:20:41,520 Speaker 1: And perhaps you could just describe for the audience what 336 00:20:41,520 --> 00:20:43,760 Speaker 1: do these tracks actually look like. 337 00:20:44,600 --> 00:20:48,000 Speaker 2: So for the pilot the moment, because they're racing in 338 00:20:48,840 --> 00:20:53,240 Speaker 2: the uncrewed vehicles the Exo series, the pilot is seeing 339 00:20:53,280 --> 00:20:57,560 Speaker 2: an augmented reality track in their remote or ground cockpit. 340 00:20:57,920 --> 00:20:59,520 Speaker 2: So the pilots are in the cockpit on the ground, 341 00:21:00,040 --> 00:21:02,840 Speaker 2: hicles are flying in the air, and through their screen, 342 00:21:03,359 --> 00:21:06,439 Speaker 2: we've implanted an augmented reality track which is mapped in 343 00:21:06,600 --> 00:21:09,479 Speaker 2: unreal engine real time, then put through to the pilot 344 00:21:09,480 --> 00:21:13,120 Speaker 2: control station. In the future, we are going to bring 345 00:21:13,160 --> 00:21:17,399 Speaker 2: that into the visors for the pilots themselves in the vehicle. 346 00:21:17,880 --> 00:21:20,120 Speaker 2: We've designed that track to be challenging for the Pilot's 347 00:21:20,160 --> 00:21:22,719 Speaker 2: got numerous turns, it's got skygates, it's off the ground 348 00:21:22,800 --> 00:21:27,280 Speaker 2: in varying degrees, so maybe five, ten, fifteen meters the 349 00:21:27,359 --> 00:21:30,640 Speaker 2: gates from different positions. And then with the vehicle out 350 00:21:30,680 --> 00:21:33,280 Speaker 2: there flying in real time out on the track, there's 351 00:21:33,280 --> 00:21:35,480 Speaker 2: a camera in the front of it, and that camera 352 00:21:35,560 --> 00:21:38,520 Speaker 2: feed is passed through to the pilot control station. It's 353 00:21:38,560 --> 00:21:41,639 Speaker 2: then washed through with an augmented reality track over the 354 00:21:41,680 --> 00:21:44,199 Speaker 2: top of it. So the pilot is now seeing the 355 00:21:44,240 --> 00:21:47,400 Speaker 2: real world, say remote does it with a track in it, 356 00:21:47,640 --> 00:21:51,720 Speaker 2: and is also now competing against other speeders in real time. 357 00:21:52,320 --> 00:21:54,639 Speaker 2: So we've come a long way in just a short 358 00:21:54,680 --> 00:21:57,440 Speaker 2: few years. But we're really excited to say that flying 359 00:21:57,440 --> 00:22:00,639 Speaker 2: car racing with augmented reality tracks in remotely is a 360 00:22:00,680 --> 00:22:01,160 Speaker 2: real thing. 361 00:22:01,840 --> 00:22:04,439 Speaker 1: And in terms of the fan experience, you know, watching 362 00:22:04,440 --> 00:22:09,120 Speaker 1: this remotely, what would they actually see in their broadcast? 363 00:22:09,400 --> 00:22:12,160 Speaker 2: So the next step is to take those digital tracks 364 00:22:12,400 --> 00:22:14,560 Speaker 2: and then bring that into the broadcast world. And we've 365 00:22:14,560 --> 00:22:17,399 Speaker 2: seen that in sport already, the numerous kind of aug 366 00:22:17,480 --> 00:22:20,080 Speaker 2: mental reality elements that are integrated into sport, but we 367 00:22:20,200 --> 00:22:23,679 Speaker 2: need to bring that track to broadcast fans. So the 368 00:22:23,800 --> 00:22:27,120 Speaker 2: challenge is then taking that map and running it through 369 00:22:27,119 --> 00:22:30,119 Speaker 2: not just the pilot's control stations, but also some of 370 00:22:30,160 --> 00:22:33,919 Speaker 2: the broadcast feeds, flying drones feeds, and then stitching that 371 00:22:33,960 --> 00:22:38,399 Speaker 2: all together. The next challenge after that would be how 372 00:22:38,400 --> 00:22:39,920 Speaker 2: do we take this to the public that want to watch 373 00:22:39,960 --> 00:22:43,680 Speaker 2: it live? And that future isn't written yet, so things 374 00:22:43,760 --> 00:22:47,720 Speaker 2: like HoloLens devices or mental reality devices or cross reality devices, 375 00:22:48,160 --> 00:22:50,359 Speaker 2: phones being used and held up to see the tracks 376 00:22:50,760 --> 00:22:54,280 Speaker 2: giant screens. It's very exciting, but we've got a couple 377 00:22:54,320 --> 00:22:56,359 Speaker 2: of years before we need to allow the public to 378 00:22:56,359 --> 00:22:57,240 Speaker 2: see the track as well. 379 00:22:58,400 --> 00:23:01,639 Speaker 1: Asmuda has a unique challenge of blending the physical world 380 00:23:01,640 --> 00:23:05,720 Speaker 1: of racing with the live streaming esport market. Jack's introspection 381 00:23:05,920 --> 00:23:10,159 Speaker 1: also highlights a recurrent issue for emerging technology businesses. How 382 00:23:10,200 --> 00:23:13,600 Speaker 1: can we launch, grow, and scale to a global audience. 383 00:23:14,440 --> 00:23:18,200 Speaker 1: In Airspeeder's case, the concept of an infhone cause visualization 384 00:23:19,000 --> 00:23:21,399 Speaker 1: is such a unique way to engage an audience in 385 00:23:21,400 --> 00:23:25,280 Speaker 1: a familiar and comfortable way. High myself have been guilty 386 00:23:25,320 --> 00:23:27,359 Speaker 1: of being on my phone while watching a movie, so 387 00:23:28,280 --> 00:23:31,440 Speaker 1: I see how targeting phones instead of the more traditional 388 00:23:31,440 --> 00:23:34,480 Speaker 1: TV model could be critical to this success as a brand. 389 00:23:37,359 --> 00:23:42,800 Speaker 1: So Jack, what's the typical distance that these races go for? 390 00:23:43,760 --> 00:23:47,159 Speaker 2: So our vehicles have a battery life of about fifteen 391 00:23:47,200 --> 00:23:50,919 Speaker 2: to twenty minutes, so that gets us a good couple 392 00:23:50,920 --> 00:23:53,240 Speaker 2: of laps of a kilometer and a half long track 393 00:23:53,600 --> 00:23:55,159 Speaker 2: before they need to come in for a pit stop. 394 00:23:55,359 --> 00:23:58,240 Speaker 2: And just like motorsports, they will come in we'll take 395 00:23:58,240 --> 00:24:00,520 Speaker 2: the battery out, put the new one in, and we've 396 00:24:00,520 --> 00:24:03,399 Speaker 2: got that down to just under a minute, which is 397 00:24:03,440 --> 00:24:05,239 Speaker 2: where Formula one was in the eighties. So we've got 398 00:24:05,240 --> 00:24:05,879 Speaker 2: some work to do. 399 00:24:06,600 --> 00:24:10,200 Speaker 1: So my son loves video games, and in terms of 400 00:24:10,640 --> 00:24:13,880 Speaker 1: actually becoming a pilot, do you think some of those 401 00:24:13,920 --> 00:24:19,600 Speaker 1: skills that the next generation are developing with using video 402 00:24:19,640 --> 00:24:24,080 Speaker 1: games would that help with becoming a drone pilot? What 403 00:24:24,240 --> 00:24:25,879 Speaker 1: training is involved. 404 00:24:26,440 --> 00:24:28,679 Speaker 2: The problem we have is we don't know where the 405 00:24:28,680 --> 00:24:30,760 Speaker 2: next generation of pilots are going to come from, so 406 00:24:30,800 --> 00:24:34,000 Speaker 2: we've had to kind of try whole different hosts of 407 00:24:34,040 --> 00:24:36,880 Speaker 2: different talent pools for the Excess Series the Young Crewed Series. 408 00:24:37,359 --> 00:24:41,800 Speaker 2: So we've got pilots that drone racing champions, we've got 409 00:24:41,880 --> 00:24:46,119 Speaker 2: aerial cinematographers, we've got people in the motorsport space like 410 00:24:46,200 --> 00:24:50,639 Speaker 2: Bruno Cenna of Motorsport Royalty, all entering in the Excess 411 00:24:50,640 --> 00:24:54,400 Speaker 2: Series to try out their talents. Then we've also got 412 00:24:54,520 --> 00:24:57,760 Speaker 2: our crude craft, the pilot craft that's actually in its 413 00:24:57,800 --> 00:25:00,359 Speaker 2: developmental phase at the moment, and we race in twenty 414 00:25:00,440 --> 00:25:03,600 Speaker 2: twenty four. So like the Mark three, our uncrewed vehicle 415 00:25:03,760 --> 00:25:06,680 Speaker 2: has to go through its test card phases, which is 416 00:25:06,720 --> 00:25:10,560 Speaker 2: a whole series of incremental technological developments. You may have 417 00:25:10,600 --> 00:25:13,199 Speaker 2: seen at the beginning of Top Gun when Maverick pushes 418 00:25:13,240 --> 00:25:15,840 Speaker 2: it to Mark ten. We take a little bit slower, 419 00:25:16,240 --> 00:25:19,400 Speaker 2: but just like the Mark three did where it went 420 00:25:19,520 --> 00:25:23,879 Speaker 2: through test cards, went into drag racing, went into pursuit racing, 421 00:25:23,880 --> 00:25:26,280 Speaker 2: and they went to circuit racing, our mark for the 422 00:25:26,320 --> 00:25:29,200 Speaker 2: crude vehicle, we're doing the exact same test card path 423 00:25:29,240 --> 00:25:32,960 Speaker 2: as well, so we're testing that at the moment, we're 424 00:25:32,960 --> 00:25:35,600 Speaker 2: genuinely just waiting on Cassier to give us approval. It's 425 00:25:36,280 --> 00:25:39,239 Speaker 2: the vehicle's sitting in the shed, as they say. But 426 00:25:39,520 --> 00:25:41,680 Speaker 2: our first races, our first crude races, won't be until 427 00:25:41,800 --> 00:25:44,959 Speaker 2: till next year, probably in a simple format to start with, 428 00:25:45,320 --> 00:25:49,560 Speaker 2: but we'll grow into a full blown circuit race format. 429 00:25:49,840 --> 00:25:52,879 Speaker 1: I'm interested to know the evolution of the design and 430 00:25:53,000 --> 00:25:56,439 Speaker 1: how you're going to go from an uncrewed machine into 431 00:25:56,840 --> 00:25:58,280 Speaker 1: something with a pilot. 432 00:25:58,920 --> 00:26:02,439 Speaker 2: So we started crude first and then said the riskiest element, 433 00:26:02,520 --> 00:26:05,800 Speaker 2: the human, is what we'll bring in later. The Mark 434 00:26:05,880 --> 00:26:10,080 Speaker 2: three probably was a little bit more design lead. I'm 435 00:26:10,080 --> 00:26:13,040 Speaker 2: going to say, more form over function. It was beautiful, 436 00:26:13,359 --> 00:26:16,639 Speaker 2: It showed the world what we think a beautiful flying 437 00:26:16,680 --> 00:26:19,479 Speaker 2: car could and should look like. Did it fly as 438 00:26:19,480 --> 00:26:21,639 Speaker 2: well as it should? Maybe not. There's a lot of 439 00:26:21,760 --> 00:26:25,080 Speaker 2: learnings and modifications that you can quite clearly see between 440 00:26:25,080 --> 00:26:27,440 Speaker 2: the Mark three and the Mark four, especially around the 441 00:26:27,440 --> 00:26:30,440 Speaker 2: aerodynamic packages, and so we've got a lot more lift 442 00:26:30,440 --> 00:26:34,560 Speaker 2: surfaces and winglets that are attached to the vehicle. But yeah, 443 00:26:34,640 --> 00:26:38,959 Speaker 2: it's design has changed. Whereas it started with form over function, 444 00:26:39,040 --> 00:26:41,359 Speaker 2: we're now going the other way where it's a little 445 00:26:41,359 --> 00:26:44,720 Speaker 2: bit more functionally lead. But it is important and we 446 00:26:44,840 --> 00:26:47,199 Speaker 2: value design really so that when people look at this, 447 00:26:47,240 --> 00:26:49,360 Speaker 2: they a know what it is, and they be they 448 00:26:49,400 --> 00:26:51,560 Speaker 2: want to get more involved and they want to understand 449 00:26:52,119 --> 00:26:52,919 Speaker 2: a little bit more. 450 00:26:52,800 --> 00:26:55,520 Speaker 3: About it, so and get in one and fly it. 451 00:26:55,680 --> 00:26:58,280 Speaker 2: Yeah, and hopefully fly it. 452 00:26:58,320 --> 00:27:02,320 Speaker 3: Intel's very big in the high performance computing sector, so 453 00:27:02,440 --> 00:27:09,320 Speaker 3: all the engineering, the fluid dynamics, the airflow modeling, the manufacturing, 454 00:27:09,440 --> 00:27:13,960 Speaker 3: and the understanding the stress points on the vehicle as 455 00:27:13,960 --> 00:27:19,040 Speaker 3: it's flying to help optimize those designs. Because everyone knows 456 00:27:19,119 --> 00:27:25,160 Speaker 3: with electric aircraft, weight is a critical factor in how 457 00:27:25,240 --> 00:27:28,399 Speaker 3: long these things can fly and how fast they can go. 458 00:27:28,880 --> 00:27:33,840 Speaker 3: So using high performance computing techniques to optimize these designs 459 00:27:33,960 --> 00:27:35,320 Speaker 3: is very important. 460 00:27:35,800 --> 00:27:38,760 Speaker 1: So maybe just explain a little bit about the gaming 461 00:27:39,200 --> 00:27:39,879 Speaker 1: side of things. 462 00:27:40,600 --> 00:27:45,760 Speaker 2: Sure, so we've started an esports side to Airspeeder as well. 463 00:27:45,960 --> 00:27:48,280 Speaker 2: We found it was important to start with a physical 464 00:27:48,359 --> 00:27:51,239 Speaker 2: race series first show people that this is real, but 465 00:27:51,280 --> 00:27:53,159 Speaker 2: then also present a bit of a pathway to have 466 00:27:53,200 --> 00:27:54,600 Speaker 2: a bit of fun, but also learn a little bit 467 00:27:54,640 --> 00:27:57,520 Speaker 2: more about flying cars. Our partnership with sort Of Games 468 00:27:58,000 --> 00:28:00,919 Speaker 2: has allowed that to come to life. Watch the demo 469 00:28:01,480 --> 00:28:04,640 Speaker 2: earlier this year. So pilots have done their first tournament. 470 00:28:04,720 --> 00:28:06,680 Speaker 2: But this is exciting for us because we get to 471 00:28:06,720 --> 00:28:09,000 Speaker 2: see and play with a lot of that data and 472 00:28:09,040 --> 00:28:10,639 Speaker 2: have a look at that talent that come through and 473 00:28:10,680 --> 00:28:13,440 Speaker 2: hopefully become air spit of pilots like your son one day. 474 00:28:15,160 --> 00:28:18,680 Speaker 1: One of the final questions is moving from the racing 475 00:28:18,960 --> 00:28:22,000 Speaker 1: side of things again back to the consumer side of 476 00:28:22,040 --> 00:28:26,080 Speaker 1: the industry. Do you think these sorts of technology and 477 00:28:26,480 --> 00:28:31,040 Speaker 1: these flying cards would actually help with traffic jams and 478 00:28:31,280 --> 00:28:34,240 Speaker 1: be able to get around as we see in Star 479 00:28:34,280 --> 00:28:36,720 Speaker 1: Wars and all these sci fi movies. Peter, I'd like 480 00:28:36,760 --> 00:28:39,040 Speaker 1: to get your thoughts about, you know, what's it going 481 00:28:39,080 --> 00:28:40,840 Speaker 1: to be for our grand kids. 482 00:28:41,760 --> 00:28:46,160 Speaker 3: I'm pretty bad at predicting the future. I'm still working, 483 00:28:46,240 --> 00:28:50,640 Speaker 3: so obviously my investments skills are not as they should be. 484 00:28:51,560 --> 00:28:56,440 Speaker 3: So clearly, aerial vehicles is, for one of a better phrase, 485 00:28:56,640 --> 00:29:00,280 Speaker 3: taking off. You can see the investments that are going 486 00:29:00,360 --> 00:29:05,600 Speaker 3: on in electric cars and flying vehicles. Aerial taxis aerial 487 00:29:05,760 --> 00:29:11,640 Speaker 3: delivery just because of the economics and just how many 488 00:29:11,720 --> 00:29:15,360 Speaker 3: people and the congestion issues that we're facing at the moment. 489 00:29:15,520 --> 00:29:21,760 Speaker 3: So certainly any investment and any progress in the future 490 00:29:21,880 --> 00:29:26,000 Speaker 3: of avionics and the future of aerial vehicles is definitely 491 00:29:26,040 --> 00:29:28,400 Speaker 3: important to get us to that future. 492 00:29:28,800 --> 00:29:33,120 Speaker 1: Yeah, Jack, what are your thoughts around sort of consumer commute. 493 00:29:33,680 --> 00:29:36,320 Speaker 2: We're obviously quite a big fan of the idea of 494 00:29:36,360 --> 00:29:39,959 Speaker 2: everyone owning a flying car at some stage. We're going 495 00:29:39,960 --> 00:29:43,880 Speaker 2: to remember that mobility revolutions, when they do happen, they 496 00:29:43,920 --> 00:29:48,880 Speaker 2: happen very quickly. The horse went out of fashion within 497 00:29:48,960 --> 00:29:52,080 Speaker 2: twenty years, and the model T came in the price 498 00:29:52,480 --> 00:29:56,000 Speaker 2: of an average salaries that everybody could afford. It fundamentally 499 00:29:56,080 --> 00:29:57,800 Speaker 2: changed the way that cities were planned and the way 500 00:29:57,840 --> 00:30:00,760 Speaker 2: we moved around. Now, our flying cars the next version 501 00:30:00,800 --> 00:30:04,080 Speaker 2: of that, quite possibly, I think that the sequence has 502 00:30:04,120 --> 00:30:07,680 Speaker 2: to be right in that we have the playground like 503 00:30:07,760 --> 00:30:10,960 Speaker 2: racing to drive tech but also to drive public awareness 504 00:30:11,320 --> 00:30:15,160 Speaker 2: and acceptance and eventually into adoption for these types of vehicles. 505 00:30:15,840 --> 00:30:19,440 Speaker 2: So the conditions are there. It's been proven history that 506 00:30:19,520 --> 00:30:22,040 Speaker 2: it can happen and will happen quite quickly. Will it 507 00:30:22,080 --> 00:30:26,240 Speaker 2: happen to fly in cars. Who knows, but we predict 508 00:30:26,280 --> 00:30:29,400 Speaker 2: that it's highly likely. But at the moment, we know 509 00:30:29,480 --> 00:30:31,400 Speaker 2: that we can go racing and it's a lot of fun. 510 00:30:31,520 --> 00:30:33,960 Speaker 2: So we'll start with racing. We'll see where we end up. 511 00:30:34,320 --> 00:30:36,840 Speaker 3: Hopefully we don't end up in the fifth element. 512 00:30:39,400 --> 00:30:40,320 Speaker 2: Not too dystopian. 513 00:30:41,240 --> 00:30:43,360 Speaker 1: I'll leave it then. Thanks very much to both of you. 514 00:30:43,760 --> 00:30:45,080 Speaker 2: Not problem. Thank you Graham. 515 00:30:45,240 --> 00:30:50,280 Speaker 3: Yep, thanks Graham. 516 00:30:50,360 --> 00:30:52,600 Speaker 1: I would like to thank my guests Peter Kearney and 517 00:30:52,720 --> 00:30:55,520 Speaker 1: Jack Withinshaw for joining me on this episode of Technically 518 00:30:55,600 --> 00:31:00,480 Speaker 1: Speaking and Intel podcast. I'm always in awe of entrepreneurs 519 00:31:00,520 --> 00:31:03,320 Speaker 1: and innovators who dive into the realm of the unknown 520 00:31:03,360 --> 00:31:08,000 Speaker 1: to carve out newspaces and industries. This conversation was truly enlightening, 521 00:31:08,480 --> 00:31:12,240 Speaker 1: especially hearing Jack's journey in launching Airspeeder and his ambitious 522 00:31:12,320 --> 00:31:15,600 Speaker 1: visions for flying cars. Jack has a unique way of 523 00:31:15,680 --> 00:31:18,560 Speaker 1: drawing wisdom from history, tracing from the era of the 524 00:31:18,600 --> 00:31:21,719 Speaker 1: model T forward to the advent of airliner jets, and 525 00:31:21,760 --> 00:31:26,760 Speaker 1: gleaning insights on making personal flying vehicles a reality. Often 526 00:31:26,800 --> 00:31:30,840 Speaker 1: there's a perception that global organizations like Intel are solely 527 00:31:30,880 --> 00:31:34,480 Speaker 1: focused on partnering with other large scale enterprises. So it's 528 00:31:34,600 --> 00:31:37,440 Speaker 1: refreshing to learn that Intel is extending a supportive hand 529 00:31:37,440 --> 00:31:42,560 Speaker 1: to startups, offering genuine engineering support and guidance. Peter's thoughts 530 00:31:42,600 --> 00:31:46,200 Speaker 1: on Intel's partnership with Airspeeder was reassuring. It sends a 531 00:31:46,200 --> 00:31:49,560 Speaker 1: positive signal to other enterprises, regardless of their size, that 532 00:31:49,600 --> 00:31:52,280 Speaker 1: the team at Intel is approachable and ready to assist 533 00:31:52,320 --> 00:31:56,280 Speaker 1: in developing their technological roadmap. At our core, we humors 534 00:31:56,280 --> 00:31:59,400 Speaker 1: are social beings, a trait ingrained in us for millennia. 535 00:32:00,160 --> 00:32:04,080 Speaker 1: We're innately driven to connect with one another, nurturing relationships 536 00:32:04,160 --> 00:32:08,320 Speaker 1: with family, friends, and peers, as we saw with the 537 00:32:08,360 --> 00:32:12,040 Speaker 1: advent of planes, trains, and automobiles. All of these advancements 538 00:32:12,160 --> 00:32:15,080 Speaker 1: allowed us to live apart, but also remained close to 539 00:32:15,120 --> 00:32:17,800 Speaker 1: those we love. The thought of the future where my 540 00:32:17,960 --> 00:32:21,640 Speaker 1: grandkids or perhaps great grandkids could be maneuvering flying cars 541 00:32:21,800 --> 00:32:25,440 Speaker 1: is scary. But also exciting. They could be living anywhere 542 00:32:25,480 --> 00:32:28,600 Speaker 1: in the world, but never truly far from home. The 543 00:32:28,640 --> 00:32:31,240 Speaker 1: innovative strides by Jack and Peter are not just about 544 00:32:31,360 --> 00:32:35,080 Speaker 1: ushering in a futuristic mode of transport, but also about 545 00:32:35,120 --> 00:32:39,239 Speaker 1: fostering a sense of closeness and enhance connectivity in the 546 00:32:39,240 --> 00:32:42,880 Speaker 1: society of tomorrow. I'm eager to see how the dream 547 00:32:42,920 --> 00:32:47,480 Speaker 1: of flying cars turn into a tangible reality, bridging distances 548 00:32:47,600 --> 00:32:53,080 Speaker 1: and knitting us closer. Please join us on Tuesday, December 549 00:32:53,120 --> 00:32:56,600 Speaker 1: twelfth for the next episode of Technically Speaking, an Intel podcast. 550 00:33:01,120 --> 00:33:04,600 Speaker 1: Technically Speaking was produced by Ruby Studios from iHeartRadio in 551 00:33:04,640 --> 00:33:08,520 Speaker 1: partnership with Intel, and hosted by me Graham Class. Our 552 00:33:08,560 --> 00:33:12,000 Speaker 1: executive producer is Molly Sosher, our EP of Post Production 553 00:33:12,120 --> 00:33:15,680 Speaker 1: is James Foster, and our supervising producer is nikiir Swinton. 554 00:33:16,520 --> 00:33:19,720 Speaker 1: This episode was edited by Sierra Spreen and written and 555 00:33:19,760 --> 00:33:29,960 Speaker 1: produced by Tyree Rush.