WEBVTT - Beep - Autonomous Mobility for All 0:00:03.160 --> 0:00:07.920 Welcome to Lake Nona, a beautiful residential and commercial oasis 0:00:08.360 --> 0:00:12.119 where the future has arrived. Lake Nona is a seventeen 0:00:12.160 --> 0:00:16.480 square mile community in Orlando, Florida that has established new 0:00:16.520 --> 0:00:20.400 standards of living that integrate the latest technology into every 0:00:20.440 --> 0:00:24.040 facet of life, including, but not limited to the way 0:00:24.079 --> 0:00:28.520 its citizens get around. Picture this. A person stands in 0:00:28.560 --> 0:00:31.960 the warm Florida sun at a designated bus stop, waiting 0:00:32.000 --> 0:00:35.240 for the next shuttle to arrive. And here it comes, 0:00:35.560 --> 0:00:37.559 not with the roar of an engine, but with the 0:00:37.600 --> 0:00:41.640 gentle hum of an energy efficient electric mona. The busk 0:00:41.680 --> 0:00:45.440 glides to a halt, and as the doors open, something 0:00:45.560 --> 0:00:49.600 is missing. There's no one in the driver's seat. That's 0:00:49.640 --> 0:00:51.919 because Lake Nona is home to one of the country's 0:00:52.040 --> 0:00:56.640 largest and longest running single site autonomous vehicle fleets. These 0:00:56.760 --> 0:01:00.440 energy efficient, self driving buses have transformed the way residents 0:01:00.440 --> 0:01:04.360 travel in this community, safe and easily accessible. They whisk 0:01:04.440 --> 0:01:08.840 people from place to place, freeing hands, reducing traffic congestion, 0:01:09.360 --> 0:01:13.199 and embracing a sustainable future. What else can a world 0:01:13.200 --> 0:01:17.120 of autonomous public transportation do? How else may impact the 0:01:17.160 --> 0:01:20.760 way a community operates in this bright and sunny corner 0:01:20.760 --> 0:01:23.760 of the world. The horizon is limitless and our journey 0:01:24.120 --> 0:01:36.640 is full of possibilities. Hey there, I'm Grain Class and 0:01:36.680 --> 0:01:40.160 this is technically speaking, an Intel podcast. The show is 0:01:40.200 --> 0:01:44.039 dedicated to highlighting technology is revolutionizing the way we live, 0:01:44.319 --> 0:01:48.280 work and move. In every episode, we'll connect with innovators 0:01:48.320 --> 0:01:51.440 in areas like artificial intelligence to better understand the human 0:01:51.480 --> 0:01:55.760 centered technology they've developed. Thus far, we've explored how AI 0:01:55.920 --> 0:02:00.639 impacts society in the ways of agriculture, accessibility, and mental health. 0:02:01.200 --> 0:02:04.280 But one of the ways technology and especially artificial intelligence 0:02:04.320 --> 0:02:08.120 impact society is through its structures. AI is advancing the 0:02:08.120 --> 0:02:11.160 ways cities are able to serve their citizens. There's a 0:02:11.240 --> 0:02:13.640 very interesting example of this happening in a small town 0:02:13.720 --> 0:02:16.880 in the United States. But before we go any further, 0:02:17.000 --> 0:02:21.600 I need to introduce my guests. Joining me now is 0:02:21.680 --> 0:02:24.800 Joey Morow, the CEO of Beep, which is a company 0:02:24.800 --> 0:02:28.720 that offers autonomous mobility solutions in public and private communities 0:02:28.760 --> 0:02:32.280 across the US. His career has spanned the technology arena, 0:02:32.320 --> 0:02:36.320 from hardware and software to IT services. He has spearheaded 0:02:36.320 --> 0:02:40.600 groundbreaking enterprise projects in cutting edge startups to multi billion 0:02:40.600 --> 0:02:46.279 dollar enterprises, Joe's expertise in innovation, strategy and transformative technologies 0:02:46.520 --> 0:02:48.720 paved the way for his role at BEEP, where he 0:02:48.800 --> 0:02:52.440 now leads a new team transforming mobility as we know it. 0:02:53.120 --> 0:02:54.800 We are so excited to have you on, Joe. 0:02:55.040 --> 0:02:56.600 Thank you, Graham, glad to be here. 0:02:57.280 --> 0:03:00.200 Also joining us as Juan Santos, the senior vice president 0:03:00.280 --> 0:03:04.200 of Brand, Experience and Innovation at Tavistop Route. At Tavistop, 0:03:04.280 --> 0:03:07.480 he's part of a multi disciplinary team that uses design 0:03:07.520 --> 0:03:11.079 thinking to build places where people can thrive. One is 0:03:11.120 --> 0:03:15.920 a recognized expert in design thinking, user generated content, virtual 0:03:15.960 --> 0:03:19.919 worlds physical and digital, and loyalty and rewards. Welcome to 0:03:20.000 --> 0:03:20.520 the chop one. 0:03:20.880 --> 0:03:21.560 Thank you very much. 0:03:21.600 --> 0:03:21.760 Green. 0:03:25.840 --> 0:03:28.440 I'll start with you, Joe. Can you just tell us 0:03:28.440 --> 0:03:32.120 a little bit more about Beep and in particular your 0:03:32.600 --> 0:03:35.640 personal story around why you decided to get involved with 0:03:35.640 --> 0:03:36.160 the company. 0:03:36.720 --> 0:03:39.440 Yeah, I'm happy to Graham, and thanks again for having us. 0:03:39.520 --> 0:03:44.160 So Deep was founded on the premise that autonomous mobility 0:03:44.720 --> 0:03:48.120 is going to be proven out in I'll see incremental 0:03:48.240 --> 0:03:52.000 use cases. I know everybody has had different experiences and 0:03:52.160 --> 0:03:55.240 or has read a little bit about what driving and 0:03:55.280 --> 0:03:57.560 mobility is about. You know I would tell you if 0:03:57.600 --> 0:04:00.320 you think of the technologies and the world work that 0:04:00.360 --> 0:04:04.760 we're doing, it's very focused on shorthaul first mile last 0:04:04.840 --> 0:04:08.680 mile type use cases in public and private communities, solving 0:04:08.840 --> 0:04:13.480 for that micro transit gap across many areas of our country. 0:04:14.200 --> 0:04:17.840 Second is very important that it's a shared platform, so 0:04:17.880 --> 0:04:23.120 we focus on more controlled speed GEO fenced use cases, 0:04:23.800 --> 0:04:27.200 but in a shared mobility form factor, meaning a shuttle 0:04:27.240 --> 0:04:30.839 that seats a ten to twelve passengers and really represents 0:04:31.240 --> 0:04:35.599 that ability to provide a good balance of yes, personal mobility, 0:04:35.640 --> 0:04:39.640 but also community mobility. So the business was founded by 0:04:39.680 --> 0:04:42.560 a group of us that are also investors in the company. 0:04:42.960 --> 0:04:46.440 We've been entrepreneurs across a couple of funds, so we're 0:04:46.520 --> 0:04:49.840 venture capitalists as well as operators. And again, as we 0:04:49.920 --> 0:04:53.039 looked at this key inflection point in the area of 0:04:53.120 --> 0:04:58.359 technology specific to autonomy, made a very calculated approach to 0:04:58.440 --> 0:05:01.880 focusing on this micro segment of the larger market of 0:05:02.000 --> 0:05:08.920 autonomy around this electric shared autonomous mobility in these micro 0:05:09.080 --> 0:05:10.400 transit use cases. 0:05:12.279 --> 0:05:15.400 BEEP is a turnkey mobility solution with the goal of 0:05:15.400 --> 0:05:20.480 providing stress free transportation, reducing carbon emissions, and improving road safety, 0:05:21.120 --> 0:05:25.840 offering autonomous transportation to thousands of people. Beep's technology focuses 0:05:25.880 --> 0:05:29.800 on community and offers localized travel solutions that reflect the 0:05:29.800 --> 0:05:34.799 way people want to engage with their neighborhood. Are these 0:05:34.960 --> 0:05:38.760 vehicles going to be driver lists or driver assisted? How 0:05:38.839 --> 0:05:40.360 is that currently being played out? 0:05:40.760 --> 0:05:43.960 Yeah, it's a great question. We work in partnership with 0:05:44.000 --> 0:05:48.359 the US Department of Transportation, who oversees the use of 0:05:48.400 --> 0:05:52.080 these vehicles on our roadways today. So the vehicles are 0:05:52.120 --> 0:05:56.719 operating in a very high percentage fully autonomous, but we 0:05:56.839 --> 0:06:01.720 do have safety attendants or ambassadors on board whose responsibility 0:06:01.839 --> 0:06:05.640 is to both educate welcome passengers and introduce them to 0:06:05.680 --> 0:06:09.840 the technology, help them feel comfortable with these types of services, 0:06:09.880 --> 0:06:13.520 but also to take over manual control should that be 0:06:13.640 --> 0:06:16.400 needed if there's an event on the roadway that requires 0:06:16.440 --> 0:06:20.719 some level of intervention. Fast forward a couple of short 0:06:20.839 --> 0:06:25.880 years and those attendants are going to be virtual or remote. 0:06:26.360 --> 0:06:29.640 So we will in our types of services always have 0:06:29.839 --> 0:06:32.279 a human in the loop. It will shift from being 0:06:32.320 --> 0:06:36.720 an onboard attendant to a virtual attendant. And you can 0:06:36.760 --> 0:06:41.560 only imagine, especially in the area of public transportation, if 0:06:41.600 --> 0:06:45.800 there is some circumstance, be that a traffic jam or 0:06:45.839 --> 0:06:50.359 a pothole on a roadway or some other eventuality. You 0:06:50.440 --> 0:06:53.240 still have to be able to communicate with passengers on 0:06:53.360 --> 0:06:55.800 board if there's a reason to pull a vehicle off 0:06:55.839 --> 0:06:59.000 the side of the road, let people know what's going 0:06:59.040 --> 0:07:00.560 on and what to do about it. 0:07:00.720 --> 0:07:04.719 Okay, great, I'll bring one into that discussion. Now, could 0:07:04.760 --> 0:07:06.680 you just tell us a little bit about your work 0:07:06.720 --> 0:07:07.960 at Taviasop Group. 0:07:08.960 --> 0:07:13.720 So I lead innovation and a brand experience in what 0:07:14.040 --> 0:07:18.120 most people would traditionally think of as a development company. However, 0:07:18.280 --> 0:07:21.400 Tavistak Development, which is the area that I focus mostly in, 0:07:21.840 --> 0:07:25.720 is not your traditional developer. We are actually an owner operator, 0:07:26.280 --> 0:07:28.720 and in the case of BEEP, we have a place 0:07:28.760 --> 0:07:32.200 called Lakenona where directly contiguous to the Orlando Airport. We're 0:07:32.240 --> 0:07:35.520 proud citizens of the city of Orlando, but we represent 0:07:35.640 --> 0:07:38.800 an advanced district in the city, and it's a fairly 0:07:38.840 --> 0:07:42.520 large advanced district. We're approximately seventeen square miles to give 0:07:42.520 --> 0:07:45.760 you a point of comparison, Manhattan's twenty two, so it's 0:07:45.800 --> 0:07:48.400 a fairly large swath of land. And then we have 0:07:49.320 --> 0:07:52.120 pretty much every use case inside like no. I mean, 0:07:52.160 --> 0:07:56.440 we have universities, high schools, people can go to preschool, 0:07:56.480 --> 0:08:00.640 there's micro apartments, there's large homes, so it comes this 0:08:01.160 --> 0:08:04.880 really interesting place for people to live, but also for 0:08:05.760 --> 0:08:08.520 companies that are on the forefront of technology to use 0:08:08.560 --> 0:08:11.480 us a living lab. The reason BEEP is a critical 0:08:11.520 --> 0:08:15.720 partner for Lignona is because we believe mobility is one 0:08:15.720 --> 0:08:18.120 of those things that create a lot of friction inside 0:08:18.160 --> 0:08:20.880 a community. Right you come to a place and parking 0:08:20.960 --> 0:08:23.880 is difficult, moving from one place to the other. That's 0:08:23.920 --> 0:08:26.720 really kind of like they're not so enjoyable, not so 0:08:26.920 --> 0:08:31.200 great parts of being in communities that are successful. In Lignona, 0:08:31.320 --> 0:08:35.520 we've tackled that friction with immobility by a variety of things, 0:08:36.040 --> 0:08:40.120 but we've also incorporated BEEP under autonomou shuttle operation as 0:08:40.160 --> 0:08:44.200 a critical part to provide that first and last mile 0:08:44.400 --> 0:08:48.640 mile and a half inside the community for people to traverse. 0:08:48.800 --> 0:08:52.559 And it's something that has been running now for multiple years. 0:08:52.600 --> 0:08:55.560 We have what I believe today is the largest and 0:08:55.640 --> 0:08:59.559 longest running autonomous shuttle operation in the United States in Leagnona. 0:08:59.600 --> 0:09:03.000 It's actually is so prevalent now that we're coming close 0:09:03.040 --> 0:09:05.640 to the end of the year where we had a kid, 0:09:05.960 --> 0:09:09.000 you know, last Halloween actually dressed up as one of 0:09:09.040 --> 0:09:12.760 the autonomous shuttles. So it's something that's both an incredible 0:09:12.800 --> 0:09:16.720 service that reliefs striction, but it's become a natural part 0:09:17.040 --> 0:09:20.400 of the ecosystem that people live with and live in 0:09:20.400 --> 0:09:21.040 in Lakedana. 0:09:21.559 --> 0:09:26.280 Yeah, I'm interested in how that autonomous shuttle bus started 0:09:26.760 --> 0:09:30.320 and was there any I guess pushback or were any 0:09:30.400 --> 0:09:33.439 challenges with the community to try and get this sort 0:09:33.480 --> 0:09:34.600 of thing deployed. 0:09:35.440 --> 0:09:39.040 Actually, it was incredibly well received. It started in a 0:09:39.080 --> 0:09:42.080 conversation with the founders of Beep. We were actually having 0:09:42.080 --> 0:09:45.120 a conversation about a different topic and the topic of 0:09:45.120 --> 0:09:50.000 autonomous mobility came up. And after that conversation, fast forward 0:09:50.040 --> 0:09:53.960 eleven months and the company had been created, the vehicles 0:09:54.000 --> 0:09:56.439 have been brought into the US. We've worked with Department 0:09:56.480 --> 0:09:59.839 of Transportation and NITSA to make it happen, and from 0:09:59.880 --> 0:10:03.640 a community perspective, we actually did an outreach process where 0:10:03.679 --> 0:10:06.280 we actually allowed critical members of the community to be 0:10:06.320 --> 0:10:10.600 a part of understanding what the vehicles would do. For example, 0:10:10.679 --> 0:10:14.000 we had a specific day where the beeps were on 0:10:14.160 --> 0:10:18.080 preview just for first responders, so We showed our police 0:10:18.080 --> 0:10:21.400 department and the fire department how to work with the vehicles, 0:10:21.400 --> 0:10:23.920 how to operate them, how to move them if necessary, 0:10:24.280 --> 0:10:27.120 and when the vehicles rolled for the first time, we 0:10:27.160 --> 0:10:30.440 had a community that was ready, so we didn't have 0:10:30.600 --> 0:10:34.560 much pushback. Now we had people have to adapt to 0:10:34.800 --> 0:10:37.719 having a vehicle with no driver, right because even though 0:10:37.720 --> 0:10:41.080 there's a safety attendant on board, the vehicles operating on 0:10:41.120 --> 0:10:45.160 its own, and it operates differently than a humanly controlled vehicle. 0:10:45.600 --> 0:10:49.040 So we had some situations where people were like learning 0:10:49.080 --> 0:10:51.960 to interact with them. But for the most part, it 0:10:52.040 --> 0:10:55.800 was very well received. One of the hallmarks of known 0:10:55.880 --> 0:10:59.760 as a community is that our citizens, they think of 0:10:59.800 --> 0:11:03.920 them sells almost like citizen scientists. They're almost asking us 0:11:03.920 --> 0:11:06.560 what's new every week. It's like what's the new thing 0:11:06.600 --> 0:11:10.920 to try. They've come to expect strange things to happen, 0:11:11.320 --> 0:11:13.880 you know, in the roads and other places in Lignona. 0:11:14.200 --> 0:11:17.800 So I think it was significantly better received because of 0:11:17.840 --> 0:11:20.839 the education that we did, because the first responders were 0:11:20.840 --> 0:11:23.800 on board, because we gave community previews, so it was 0:11:23.800 --> 0:11:27.760 not like suddenly, you know, self driving car shows up 0:11:27.760 --> 0:11:29.120 in the middle of the community. 0:11:28.760 --> 0:11:31.400 Right, Okay, and in terms of I mean we've talked 0:11:31.440 --> 0:11:34.679 about the autonomous side of things and the AI. Are 0:11:34.720 --> 0:11:37.960 there any other AI techniques or technology that has been 0:11:38.120 --> 0:11:42.280 used for general community planning and development? Are there any 0:11:42.280 --> 0:11:44.839 other tools out there that is currently being used? 0:11:45.640 --> 0:11:49.720 So from a legnano perspective, it's pretty significant. We actually 0:11:49.800 --> 0:11:55.160 have a very detailed data overlay that actually shows us 0:11:55.200 --> 0:11:59.240 how the city is behaving. Everything is private, so there 0:11:59.320 --> 0:12:03.320 is no personal identifiable information being collected, but we collect 0:12:03.480 --> 0:12:06.560 a wide variety of behaviors. I know, you know how 0:12:06.600 --> 0:12:10.599 long people wait for an uver, I know the specific 0:12:10.679 --> 0:12:14.280 state of parking garages. Every spot is instrumental, so we 0:12:14.360 --> 0:12:16.880 know if there's a weight for them. We know how 0:12:16.920 --> 0:12:19.679 the beaps are flowing inside the community, and that is 0:12:19.720 --> 0:12:24.560 fed into a large data environment where we actually use 0:12:24.640 --> 0:12:28.720 AI driven tools to both predict and model the behavior 0:12:28.720 --> 0:12:33.360 of the environment. We've done presophisticated prediction on mobility using AI, 0:12:33.840 --> 0:12:37.120 but we also use it for energy consumption. We use 0:12:37.160 --> 0:12:41.480 it to detect unknown patterns like, for example, the impact 0:12:41.480 --> 0:12:44.720 of having pets in the environment and how that changes visitation. 0:12:45.280 --> 0:12:48.560 So when you look behind the scenes at what allows 0:12:49.040 --> 0:12:53.400 Lakenna to operate and what allows BEEP to find such 0:12:53.440 --> 0:12:58.360 a fertile environment for testing and operating these vehicles. Here 0:12:58.440 --> 0:13:03.079 there's a significant amount of AI and data that actually 0:13:03.160 --> 0:13:04.120 powers our community. 0:13:04.679 --> 0:13:07.760 Yeah, that's pretty cool. Just as you're describing the amount 0:13:07.800 --> 0:13:10.160 of data and be able to find all their stats. 0:13:10.160 --> 0:13:13.440 It just reminded me of the SimCity series of games 0:13:13.440 --> 0:13:16.600 that I used to play quite a bit, and using 0:13:16.640 --> 0:13:19.080 that to make decisions to make your citizens happy. 0:13:19.840 --> 0:13:22.840 I may have said once or twice that I get 0:13:22.840 --> 0:13:25.560 to play SimCity with a real city to a degree, 0:13:25.640 --> 0:13:27.280 so I know exactly what you mean. 0:13:31.040 --> 0:13:44.480 We'll be right back after a quick break. Welcome back 0:13:44.600 --> 0:13:52.319 to Technically Speaking an Intel podcast. When you think about 0:13:52.360 --> 0:13:56.240 AI in our environment, the question of oversight often comes 0:13:56.240 --> 0:14:00.079 into play. How did these tools manage incidents in the community. 0:14:00.400 --> 0:14:03.400 What metrics or data are used to determine when an 0:14:03.440 --> 0:14:07.200 AI tool should engage or intervene. I often think of 0:14:07.240 --> 0:14:10.520 the pacemaker as an example of how AI can be 0:14:10.679 --> 0:14:14.520 used to positively impact our lives. A monitoring system that 0:14:14.559 --> 0:14:16.840 is set up to only act when a severe change 0:14:16.840 --> 0:14:20.200 has occurred. BEEP is creating a system with checks and 0:14:20.240 --> 0:14:24.359 balances that can be more reliable than humans in reporting incidents. 0:14:25.000 --> 0:14:29.240 Vehicles are constantly collecting information inside and outside around what 0:14:29.320 --> 0:14:32.880 it observes and encounters that can make the community safer 0:14:33.120 --> 0:14:33.920 and more efficient. 0:14:36.720 --> 0:14:38.960 If you think of the in cab and environments and 0:14:39.040 --> 0:14:42.600 you think of the scenario of not having a person 0:14:42.600 --> 0:14:45.040 of authority on board, there is no driver, there is 0:14:45.120 --> 0:14:50.000 no attendant. In the future, I mean, we're developing tools 0:14:50.000 --> 0:14:56.720 and techniques that monitor the activities of the writers to 0:14:56.920 --> 0:14:59.760 ensure we understand that if there is a health of 0:15:00.400 --> 0:15:04.720 you know, somebody crouches over in their chair as an example, 0:15:05.400 --> 0:15:09.560 if there's an unfortunate situation like somebody were to present 0:15:09.600 --> 0:15:12.520 a weapon. You have to think of all these types 0:15:12.560 --> 0:15:16.200 of use cases, and what's critical about that is being 0:15:16.240 --> 0:15:22.080 able to process that observation and quickly align that with 0:15:22.320 --> 0:15:25.600 how we would get some communication into the vehicle and 0:15:25.840 --> 0:15:29.800 or immediately dispatch support or services. You know, one of 0:15:29.840 --> 0:15:35.120 the things that is so important about these vehicles is 0:15:36.160 --> 0:15:42.080 in the event of an incident, you have the perfect eyewitness. 0:15:42.280 --> 0:15:47.960 Every time you're videotaping what's happened in an intersection, you're 0:15:48.720 --> 0:15:53.000 leveraging that information and data to measure exactly how did 0:15:53.040 --> 0:15:57.800 an autonomous vehicle respond, and so an important piece of 0:15:58.640 --> 0:16:01.680 leveraging data in the future for the work that we're 0:16:01.720 --> 0:16:06.720 doing is going to really reinvent how we do things 0:16:06.960 --> 0:16:11.600 like supporting police activities out there in the area of 0:16:12.200 --> 0:16:17.000 data collection and determining fault in scenarios, but most importantly 0:16:17.040 --> 0:16:21.160 taking that data back and improving situations that may be 0:16:21.560 --> 0:16:25.720 hazardous to roadway conditions that result in accidents and things 0:16:25.760 --> 0:16:28.960 of that nature. Externally, if you think of all the 0:16:29.120 --> 0:16:33.920 data that is being collected, simple things that we're able 0:16:34.000 --> 0:16:37.040 to determine by being out there on the roadways in 0:16:37.120 --> 0:16:41.240 these different traffic scenarios are used to improve traffic flow 0:16:41.280 --> 0:16:43.360 and one hit on some of the things they do 0:16:43.480 --> 0:16:47.760 in standing road infrastructure that can also be done in 0:16:47.800 --> 0:16:52.000 the data that's collected through these vehicles. There are scenarios 0:16:52.040 --> 0:16:56.240 where public works departments can utilize the data and we 0:16:56.320 --> 0:17:00.200 can send them examples of where a tree lim is 0:17:00.240 --> 0:17:04.359 growing out over a power line, or potholes in the road, 0:17:04.520 --> 0:17:08.879 or other circumstances that may create a safety issue that 0:17:09.000 --> 0:17:12.600 need to be addressed. And so there's just an enormous 0:17:12.680 --> 0:17:17.320 amount of observation that's going on every time we are 0:17:17.359 --> 0:17:20.840 on a route that that can serve so many important purposes, 0:17:21.480 --> 0:17:25.240 just to proactively address things before they come problems. 0:17:25.840 --> 0:17:29.840 I think it's pretty unique that you have now these 0:17:29.960 --> 0:17:34.600 autonomous vehicles moving throughout communities. They carry people and provide service, 0:17:35.080 --> 0:17:40.240 but they're also a very accurate scanner. Right. Autonomous vehicles 0:17:40.280 --> 0:17:43.679 have cameras, they have light ar. When you ride the beeps, 0:17:43.760 --> 0:17:47.119 you actually see in a display what the vehicle is seeing, 0:17:47.160 --> 0:17:51.200 and it's like recording every minute detail of the environment, 0:17:51.280 --> 0:17:53.840 and it's a three D view of the world around it. 0:17:53.880 --> 0:17:56.679 So it's I think a unique opportunity and one that 0:17:56.720 --> 0:18:00.679 we haven't fully utilized yet of having this objects that 0:18:00.720 --> 0:18:04.679 are three D scanners that are traversing the community thousands 0:18:04.680 --> 0:18:07.359 of times a month, and they can provide us with 0:18:07.440 --> 0:18:10.439 an incredible amount of information. So I think it's a 0:18:10.600 --> 0:18:14.720 unique opportunity and one that we haven't utilized as much 0:18:15.440 --> 0:18:17.760 of the data that the vehicles generate as we could. 0:18:19.080 --> 0:18:22.200 But there's a lot more to Lakenna than their revolutionary 0:18:22.240 --> 0:18:25.760 public transportation. One that stands out to me, which I 0:18:25.800 --> 0:18:29.080 hope more towns and cities will consider, is Wi Fi 0:18:29.160 --> 0:18:32.720 access for all its residents, something that's quickly becoming an 0:18:32.800 --> 0:18:37.400 essential utility. Lakenona is also home to the most technologically 0:18:37.440 --> 0:18:40.639 advanced hotel in the world, the Lake Nona Wave Hotel. 0:18:41.280 --> 0:18:44.920 Beyond the new fangled tech for residents and visitors, Lakenona 0:18:45.040 --> 0:18:48.840 also considers itself a living lab community where companies and 0:18:48.920 --> 0:18:53.440 innovators can connect, collaborate, and test their prototypes and ideas 0:18:53.520 --> 0:18:59.400 in a real world setting. And in terms of the 0:18:59.560 --> 0:19:03.440 partnership with Intel, when I'll start with you, what were 0:19:03.480 --> 0:19:07.960 some of the technologies and help that Intel provided your project? 0:19:08.880 --> 0:19:13.159 So we are primarily an Intel shop when it comes 0:19:13.200 --> 0:19:18.479 to processing. We utilize Intel CPUs for a variety of 0:19:18.520 --> 0:19:22.080 the data that we collect, and we're even experimenting right 0:19:22.080 --> 0:19:25.440 now with Intel GPUs as a way to actually do 0:19:25.520 --> 0:19:29.680 some of the heavier data processing. So it's one thing 0:19:29.720 --> 0:19:34.560 that's always running and always behind the scenes from our perspective. Now, 0:19:35.040 --> 0:19:38.320 we have a variety of partners like people that actually 0:19:38.480 --> 0:19:42.600 engage in some of the more advanced technologies that Intel 0:19:42.680 --> 0:19:46.199 has to offer. But from our part, it's a strong 0:19:46.240 --> 0:19:50.679 combination of tried and true you know CPUs and you know, 0:19:50.720 --> 0:19:55.240 we're getting some pretty interesting performance results from Intel GPUs 0:19:55.280 --> 0:19:58.480 now that make them usable for a variety of data 0:19:58.520 --> 0:20:01.800 crunching tasks for data sets that we find interesting. 0:20:02.400 --> 0:20:05.240 Yeah, I just want to switch now a little bit 0:20:05.240 --> 0:20:08.240 to the safety side of things. I've actually got a 0:20:08.240 --> 0:20:10.440 bit of a background in mining, and I was around 0:20:10.640 --> 0:20:14.200 with the advent of the whole autonomous mining vehicles with 0:20:14.280 --> 0:20:17.879 those huge dump trucks being in a loaded and driven 0:20:18.600 --> 0:20:21.520 without any drivers, which is a real site to see. 0:20:22.160 --> 0:20:26.080 Going through some of that technology, they had a very strict, 0:20:26.440 --> 0:20:29.800 multi layer approach to safety. There was like seven tiers 0:20:30.400 --> 0:20:33.040 right down to people having actual buttons they can press, 0:20:33.080 --> 0:20:36.720 and it just shuts everything down. How have you tackled 0:20:36.760 --> 0:20:40.000 the approach of safety, particularly in a much more open 0:20:40.119 --> 0:20:41.920 environment than a mind sight. 0:20:42.960 --> 0:20:47.120 First, I would tell you as you look at autonomous mobility, 0:20:47.600 --> 0:20:51.800 safety is the primary driver of why these technologies exist. 0:20:51.920 --> 0:20:55.040 You know, in the US, ninety four percent of all 0:20:55.280 --> 0:20:58.480 accidents and many tens of thousands of fatalities a year 0:20:58.560 --> 0:21:04.280 a result of human distraction, impairment, and error, and that's 0:21:04.320 --> 0:21:09.520 a well known fact. Obviously, taking some of the faults 0:21:09.560 --> 0:21:13.399 of the driver out of the equation by utilizing technology 0:21:13.520 --> 0:21:18.919 that's never distracted, never impaired, and always on is an 0:21:18.960 --> 0:21:24.080 important aspect of this. It's not just about achieving an 0:21:24.160 --> 0:21:27.639 equivalent level of safety, which is a common phrase used 0:21:27.680 --> 0:21:29.840 at the standards of how do you choose to put 0:21:29.840 --> 0:21:32.840 an autonomous vehicle on the road. You have to prove 0:21:32.880 --> 0:21:36.840 that it's equal to or better than the driven vehicle 0:21:36.920 --> 0:21:39.399 in the eyes of our government, the US Department of 0:21:39.400 --> 0:21:44.000 Transportation and NITS in particular. Well, if you think of 0:21:44.880 --> 0:21:48.240 the opportunity and one hit on some of the technologies 0:21:48.280 --> 0:21:54.600 in Lake Nona to have roadside infrastructure that is looking 0:21:54.720 --> 0:21:59.399 down a roadway, communicating with our vehicles and telling us 0:21:59.480 --> 0:22:02.800 that the tree jectory of a particular car at a 0:22:02.840 --> 0:22:06.200 particular speed is telling us it's very likely to run 0:22:06.240 --> 0:22:10.560 that red light. So it's not just about the vehicles themselves, 0:22:10.600 --> 0:22:14.880 it's about that entire connected infrastructure and how you use 0:22:14.960 --> 0:22:20.040 other technologies to give you views of scenarios or predict 0:22:20.880 --> 0:22:24.640 the event that may happen. Given the information that we're 0:22:24.680 --> 0:22:29.879 perceiving from roadside infrastructure or intersection infrastructure, that can be 0:22:29.960 --> 0:22:35.720 fed to these vehicles to dramatically improve safety and reduce 0:22:36.320 --> 0:22:39.200 some of these scenarios that candidly a human would never 0:22:39.760 --> 0:22:43.000 see or understand from their vantage point just behind the 0:22:43.000 --> 0:22:45.800 wheel of a car. And so I think those things 0:22:45.800 --> 0:22:48.480 are equally as important as the great work that's going 0:22:48.520 --> 0:22:51.560 on with the autonomous platforms themselves. 0:22:52.359 --> 0:22:56.800 Now looking into the future, Joe, as you know, AI 0:22:56.880 --> 0:23:01.200 is evolving very rapidly, particularly around generative AIL and even 0:23:01.240 --> 0:23:04.200 just the visual AI capabilities. With new GPUs coming out 0:23:04.240 --> 0:23:08.360 all the time, how do you place SPEEP strategically so 0:23:08.440 --> 0:23:10.919 to take advantage of any sort of new technologies that 0:23:11.000 --> 0:23:15.040 come out, and so that you're keeping ahead of the 0:23:15.080 --> 0:23:18.399 competition and also be able to serve your communities better. 0:23:19.040 --> 0:23:23.320 If you look at the future of autonomous mobility, obviously 0:23:23.359 --> 0:23:26.840 the market that we are focused on, and you think 0:23:26.920 --> 0:23:33.000 of expanded use cases and evolving from what today in 0:23:33.040 --> 0:23:39.000 our world are planned services, planned routes, geo fenced areas, 0:23:39.680 --> 0:23:43.080 and the broader that you expand the horizons of the 0:23:43.200 --> 0:23:48.800 types of environments that these vehicles would ultimately traverse and serve. 0:23:49.760 --> 0:23:52.679 It's just going to be very very critical that we 0:23:53.480 --> 0:23:56.200 as a business stay out in front of how we 0:23:56.320 --> 0:24:00.600 leverage AI to improve what these vehicles are able to do. 0:24:01.359 --> 0:24:05.000 It's going to be imperative for our business model to 0:24:05.119 --> 0:24:11.199 succeed by utilizing the technology and the AI technologies in 0:24:11.320 --> 0:24:16.400 particular to be able to understand, perceive, and properly respond 0:24:16.520 --> 0:24:19.439 to these situations that are out there, both on our 0:24:19.520 --> 0:24:23.240 roadways and in our vehicles, so that we can provide 0:24:23.280 --> 0:24:29.040 a safe, convenient service for expanded use cases across the country. 0:24:29.920 --> 0:24:30.960 Did you want to add to that? 0:24:31.760 --> 0:24:35.000 Definitely, and maybe fast forward a little bit more into 0:24:35.040 --> 0:24:40.640 the future. Today, we use AI and we use the 0:24:40.680 --> 0:24:44.080 tools that we have in our toolkit to make things 0:24:44.760 --> 0:24:49.640 safe and efficient, right, and that's definitely the right order 0:24:49.720 --> 0:24:53.600 to take. I mean, safety is the number one concern 0:24:53.680 --> 0:24:56.560 and then making sure that it's efficient. But then once 0:24:56.600 --> 0:25:00.720 you tackle those I think AI opens the opportunity for 0:25:00.800 --> 0:25:04.720 things that are very unique. How about the vehicle recognizing 0:25:05.280 --> 0:25:08.159 that the persons that are there, because we're able to 0:25:08.200 --> 0:25:12.040 look into their schedules, they have an extra two minutes 0:25:12.440 --> 0:25:18.080 and there's a side road that could be calm right 0:25:18.119 --> 0:25:20.880 where they could see a lake, or what if you're 0:25:20.920 --> 0:25:24.160 able to figure out that there's a live event going on, 0:25:24.760 --> 0:25:28.199 and instead of having only the opportunity for you to 0:25:28.280 --> 0:25:33.440 attend because you're there, the system automatically redirects the non 0:25:33.560 --> 0:25:36.720 essential traffic to one where you can actually listen to 0:25:36.800 --> 0:25:40.640 live music as you go in I think the experiential 0:25:40.680 --> 0:25:47.400 opportunities of this intersection between technical AI for efficiency for safety, 0:25:47.560 --> 0:25:52.720 couple with let's call it human understanding powered by AI. 0:25:53.280 --> 0:25:56.640 They open these intersections that we haven't thought about. Right, 0:25:57.280 --> 0:26:00.760 maybe when we get the next version of your routing 0:26:01.080 --> 0:26:03.800 on your GPS, when you pull it in your phone, 0:26:03.920 --> 0:26:07.160 it's not going to say avoid tolls. It may say 0:26:08.040 --> 0:26:12.320