BEGIN:VCALENDAR VERSION:2.0 PRODID:-//SpaceNews - ECPv6.5.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://spacenews.com X-WR-CALDESC:Events for SpaceNews REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20241103T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20240617T000000 DTEND;TZID=America/New_York:20240618T235959 DTSTAMP:20240615T063932 CREATED:20240131T161129Z LAST-MODIFIED:20240131T161130Z UID:10003076-1718582400-1718755199@spacenews.com SUMMARY:AI for Space Workshop - 3rd workshop DESCRIPTION:The general emphasis of AI4Space is vision and learning algorithms for autonomous space systems\, which operate in the Earth’s orbital regions\, cislunar orbit\, planetary bodies (e.g.\, the moon\, Mars and asteroids)\, and interplanetary space. Emphasis is also placed on novel sensors and processors for vision and learning in space\, mitigating the challenges of the space environment towards vision and learning (e.g.\, radiation\, extreme temperatures)\, and fundamental difficulties in vision and learning for space (e.g.\, lack of training data\, unknown operating environments). \nA specific list of topics is as follows: \n\nVision and learning for spacecraft navigation and operations (e.g.\, rendezvous\, proximity operations\, docking\, space maneuvers\, entry descent landing).\nVision and learning for space robots (e.g.\, rovers\, UAVs\, UGVs\, UUWs) and multi-agent systems.\nMapping and global positioning on planetary bodies (moon\, Mars\, asteroids)\, including celestial positioning.\nOnboard AI for Earth observation applications (e.g. near-real-time disaster monitoring\, distributed learning on satellites\, tip and cue satellite-based systems).\nOnboard AI for satellite operations (e.g. AI-based star trackers\, fault detection isolation and recovery).\nSpace debris monitoring and mitigation.\nSensors for space applications (e.g.\, optical\, multispectral\, lidar\, radar\, neuromorphic).\nOnboard compute hardware for vision and learning (e.g.\, neural network accelerators\, neuromorphic processors).\nMitigating challenges of the space environment (e.g.\, radiation\, thermal) to vision and learning systems.\nDatasets\, transfer learning and domain gap.\n\n\n\n Related URL:https://spacenews.com/event/ai-for-space-workshop-3rd-workshop/ LOCATION:Seattle Conference Centre\, 705 Pike Street\, Seattle\, WA\, WA\, 98101-2310\, United States CATEGORIES:Competition,Conferences ATTACH;FMTTYPE=image/png:https://spacenews.com/wp-content/uploads/2024/01/Picture-1.png GEO:47.6117581;-122.3324386 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seattle Conference Centre 705 Pike Street Seattle WA WA 98101-2310 United States;X-APPLE-RADIUS=500;X-TITLE=705 Pike Street:geo:-122.3324386,47.6117581 END:VEVENT END:VCALENDAR