1 00:00:01,100 --> 00:00:04,519 covering the week's top textbooks like 2 00:00:04,519 --> 00:00:04,529 covering the week's top textbooks like 3 00:00:04,529 --> 00:00:07,880 covering the week's top textbooks like Linux bias Hungarian autonomous driving 4 00:00:07,880 --> 00:00:07,890 Linux bias Hungarian autonomous driving 5 00:00:07,890 --> 00:00:10,790 Linux bias Hungarian autonomous driving startup AI motive is leveraging its 6 00:00:10,790 --> 00:00:10,800 startup AI motive is leveraging its 7 00:00:10,800 --> 00:00:11,990 startup AI motive is leveraging its technology to address a different 8 00:00:11,990 --> 00:00:12,000 technology to address a different 9 00:00:12,000 --> 00:00:15,169 technology to address a different industry and growing need autonomous 10 00:00:15,169 --> 00:00:15,179 industry and growing need autonomous 11 00:00:15,179 --> 00:00:18,800 industry and growing need autonomous satellite operation AI motive is teaming 12 00:00:18,800 --> 00:00:18,810 satellite operation AI motive is teaming 13 00:00:18,810 --> 00:00:21,830 satellite operation AI motive is teaming up with c3s a supplier of satellite and 14 00:00:21,830 --> 00:00:21,840 up with c3s a supplier of satellite and 15 00:00:21,840 --> 00:00:23,900 up with c3s a supplier of satellite and space-based technologies to develop a 16 00:00:23,900 --> 00:00:23,910 space-based technologies to develop a 17 00:00:23,910 --> 00:00:26,359 space-based technologies to develop a hardware platform for performing AI 18 00:00:26,359 --> 00:00:26,369 hardware platform for performing AI 19 00:00:26,369 --> 00:00:29,570 hardware platform for performing AI operations onboard satellites their AI 20 00:00:29,570 --> 00:00:29,580 operations onboard satellites their AI 21 00:00:29,580 --> 00:00:31,849 operations onboard satellites their AI where neural network accelerator will be 22 00:00:31,849 --> 00:00:31,859 where neural network accelerator will be 23 00:00:31,859 --> 00:00:34,880 where neural network accelerator will be optimized by c3s for use on satellites 24 00:00:34,880 --> 00:00:34,890 optimized by c3s for use on satellites 25 00:00:34,890 --> 00:00:37,310 optimized by c3s for use on satellites which have a set of operating conditions 26 00:00:37,310 --> 00:00:37,320 which have a set of operating conditions 27 00:00:37,320 --> 00:00:38,990 which have a set of operating conditions that in many ways resembles those 28 00:00:38,990 --> 00:00:39,000 that in many ways resembles those 29 00:00:39,000 --> 00:00:41,720 that in many ways resembles those onboard cars on the road but with more 30 00:00:41,720 --> 00:00:41,730 onboard cars on the road but with more 31 00:00:41,730 --> 00:00:44,000 onboard cars on the road but with more stringent requirements in terms of power 32 00:00:44,000 --> 00:00:44,010 stringent requirements in terms of power 33 00:00:44,010 --> 00:00:46,369 stringent requirements in terms of power management and environmental operating 34 00:00:46,369 --> 00:00:46,379 management and environmental operating 35 00:00:46,379 --> 00:00:49,190 management and environmental operating hazards the goal of the team up is to 36 00:00:49,190 --> 00:00:49,200 hazards the goal of the team up is to 37 00:00:49,200 --> 00:00:51,350 hazards the goal of the team up is to have AI motives technology working on 38 00:00:51,350 --> 00:00:51,360 have AI motives technology working on 39 00:00:51,360 --> 00:00:53,420 have AI motives technology working on satellites that are actually operational 40 00:00:53,420 --> 00:00:53,430 satellites that are actually operational 41 00:00:53,430 --> 00:00:57,099 satellites that are actually operational in orbit by the second half of next year 42 00:00:57,099 --> 00:00:57,109 in orbit by the second half of next year 43 00:00:57,109 --> 00:01:00,049 in orbit by the second half of next year the projected applications of onboard 44 00:01:00,049 --> 00:01:00,059 the projected applications of onboard 45 00:01:00,059 --> 00:01:02,029 the projected applications of onboard neural onboard neural network 46 00:01:02,029 --> 00:01:02,039 neural onboard neural network 47 00:01:02,039 --> 00:01:04,549 neural onboard neural network acceleration extend to a number of 48 00:01:04,549 --> 00:01:04,559 acceleration extend to a number of 49 00:01:04,559 --> 00:01:06,109 acceleration extend to a number of different functions according to the 50 00:01:06,109 --> 00:01:06,119 different functions according to the 51 00:01:06,119 --> 00:01:07,780 different functions according to the companies including telecommunications 52 00:01:07,780 --> 00:01:07,790 companies including telecommunications 53 00:01:07,790 --> 00:01:10,630 companies including telecommunications earth imaging and observation 54 00:01:10,630 --> 00:01:10,640 earth imaging and observation 55 00:01:10,640 --> 00:01:12,830 earth imaging and observation autonomously docking satellites with 56 00:01:12,830 --> 00:01:12,840 autonomously docking satellites with 57 00:01:12,840 --> 00:01:15,499 autonomously docking satellites with other spacecraft deep-space mining and 58 00:01:15,499 --> 00:01:15,509 other spacecraft deep-space mining and 59 00:01:15,509 --> 00:01:18,410 other spacecraft deep-space mining and more well it's true that most satellites 60 00:01:18,410 --> 00:01:18,420 more well it's true that most satellites 61 00:01:18,420 --> 00:01:20,240 more well it's true that most satellites operate essentially in an automated 62 00:01:20,240 --> 00:01:20,250 operate essentially in an automated 63 00:01:20,250 --> 00:01:22,340 operate essentially in an automated fashion already meaning they're not 64 00:01:22,340 --> 00:01:22,350 fashion already meaning they're not 65 00:01:22,350 --> 00:01:24,410 fashion already meaning they're not generally manually flown at every given 66 00:01:24,410 --> 00:01:24,420 generally manually flown at every given 67 00:01:24,420 --> 00:01:27,050 generally manually flown at every given moment true neural network based on 68 00:01:27,050 --> 00:01:27,060 moment true neural network based on 69 00:01:27,060 --> 00:01:29,120 moment true neural network based on board AI would provide them with much 70 00:01:29,120 --> 00:01:29,130 board AI would provide them with much 71 00:01:29,130 --> 00:01:30,649 board AI would provide them with much more autonomy when it comes to 72 00:01:30,649 --> 00:01:30,659 more autonomy when it comes to 73 00:01:30,659 --> 00:01:33,499 more autonomy when it comes to performing tasks like imaging a specific 74 00:01:33,499 --> 00:01:33,509 performing tasks like imaging a specific 75 00:01:33,509 --> 00:01:35,780 performing tasks like imaging a specific area or looking for specific markers in 76 00:01:35,780 --> 00:01:35,790 area or looking for specific markers in 77 00:01:35,790 --> 00:01:38,929 area or looking for specific markers in ground or space-based targets also AI 78 00:01:38,929 --> 00:01:38,939 ground or space-based targets also AI 79 00:01:38,939 --> 00:01:41,300 ground or space-based targets also AI motive in c3s believe that local 80 00:01:41,300 --> 00:01:41,310 motive in c3s believe that local 81 00:01:41,310 --> 00:01:43,639 motive in c3s believe that local processing of data has the potential to 82 00:01:43,639 --> 00:01:43,649 processing of data has the potential to 83 00:01:43,649 --> 00:01:46,190 processing of data has the potential to be a significant game changer when it 84 00:01:46,190 --> 00:01:46,200 be a significant game changer when it 85 00:01:46,200 --> 00:01:48,550 be a significant game changer when it comes to the satellite business 86 00:01:48,550 --> 00:01:48,560 comes to the satellite business 87 00:01:48,560 --> 00:01:51,080 comes to the satellite business currently most of the processing of data 88 00:01:51,080 --> 00:01:51,090 currently most of the processing of data 89 00:01:51,090 --> 00:01:53,179 currently most of the processing of data collected by satellites is done after 90 00:01:53,179 --> 00:01:53,189 collected by satellites is done after 91 00:01:53,189 --> 00:01:55,520 collected by satellites is done after the raw information is transmitted to 92 00:01:55,520 --> 00:01:55,530 the raw information is transmitted to 93 00:01:55,530 --> 00:01:58,039 the raw information is transmitted to ground stations that can actually result 94 00:01:58,039 --> 00:01:58,049 ground stations that can actually result 95 00:01:58,049 --> 00:01:59,929 ground stations that can actually result in a lot of lag time between data 96 00:01:59,929 --> 00:01:59,939 in a lot of lag time between data 97 00:01:59,939 --> 00:02:01,700 in a lot of lag time between data collection and delivery of processed 98 00:02:01,700 --> 00:02:01,710 collection and delivery of processed 99 00:02:01,710 --> 00:02:04,190 collection and delivery of processed data to customers particularly when the 100 00:02:04,190 --> 00:02:04,200 data to customers particularly when the 101 00:02:04,200 --> 00:02:06,800 data to customers particularly when the satellite operator error or another goal 102 00:02:06,800 --> 00:02:06,810 satellite operator error or another goal 103 00:02:06,810 --> 00:02:09,109 satellite operator error or another goal between is acting as the processor on 104 00:02:09,109 --> 00:02:09,119 between is acting as the processor on 105 00:02:09,119 --> 00:02:11,390 between is acting as the processor on behalf of the client rather than just 106 00:02:11,390 --> 00:02:11,400 behalf of the client rather than just 107 00:02:11,400 --> 00:02:13,940 behalf of the client rather than just delivering raw info there is 108 00:02:13,940 --> 00:02:13,950 delivering raw info there is 109 00:02:13,950 --> 00:02:15,350 delivering raw info there is so more value from a business 110 00:02:15,350 --> 00:02:15,360 so more value from a business 111 00:02:15,360 --> 00:02:17,360 so more value from a business perspective in selling processed data 112 00:02:17,360 --> 00:02:17,370 perspective in selling processed data 113 00:02:17,370 --> 00:02:21,170 perspective in selling processed data ready to be consumed AI motives Tech 114 00:02:21,170 --> 00:02:21,180 ready to be consumed AI motives Tech 115 00:02:21,180 --> 00:02:22,850 ready to be consumed AI motives Tech could mean that processing happens 116 00:02:22,850 --> 00:02:22,860 could mean that processing happens 117 00:02:22,860 --> 00:02:24,380 could mean that processing happens locally on the satellite where the 118 00:02:24,380 --> 00:02:24,390 locally on the satellite where the 119 00:02:24,390 --> 00:02:26,600 locally on the satellite where the information is captured single board 120 00:02:26,600 --> 00:02:26,610 information is captured single board 121 00:02:26,610 --> 00:02:28,910 information is captured single board computers and other disruptive tech have 122 00:02:28,910 --> 00:02:28,920 computers and other disruptive tech have 123 00:02:28,920 --> 00:02:31,190 computers and other disruptive tech have shifted toward this kind of computing at 124 00:02:31,190 --> 00:02:31,200 shifted toward this kind of computing at 125 00:02:31,200 --> 00:02:33,710 shifted toward this kind of computing at the edge in ground-based IOT setups and 126 00:02:33,710 --> 00:02:33,720 the edge in ground-based IOT setups and 127 00:02:33,720 --> 00:02:35,839 the edge in ground-based IOT setups and it only makes sense to replicate that in 128 00:02:35,839 --> 00:02:35,849 it only makes sense to replicate that in 129 00:02:35,849 --> 00:02:37,720 it only makes sense to replicate that in space for many of the same reasons 130 00:02:37,720 --> 00:02:37,730 space for many of the same reasons 131 00:02:37,730 --> 00:02:40,250 space for many of the same reasons including reducing the time it takes to 132 00:02:40,250 --> 00:02:40,260 including reducing the time it takes to 133 00:02:40,260 --> 00:02:42,770 including reducing the time it takes to deliver the processed data which in turn 134 00:02:42,770 --> 00:02:42,780 deliver the processed data which in turn 135 00:02:42,780 --> 00:02:45,259 deliver the processed data which in turn means more responsive service for paying 136 00:02:45,259 --> 00:02:45,269 means more responsive service for paying 137 00:02:45,269 --> 00:02:47,930 means more responsive service for paying customers