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DC Field | Value | Language |
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dc.contributor.author | Trivedi, Harsh | - |
dc.date.accessioned | 2024-02-04T11:04:43Z | - |
dc.date.available | 2024-02-04T11:04:43Z | - |
dc.date.issued | 2024-01 | - |
dc.identifier.uri | https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4673 | - |
dc.description | Biosketch: Harsh Trivedi, An engineer at heart. Curious about AI, Cloud and Space Tech. Loves to cycle, run & kickbox. | en_US |
dc.description.abstract | Earth orbits have become_ increasingly congested with satellites, debris, and other objects, leading to growing concerns about the safety of space operations and potential collisions. According to Space Surveillance & Tracking (SST) report published by Frost & Sullivan (2022), there are more than 130 million space objects between the size 1 mm to 1 cm in size. These debris can orbit the earth for decades, if not centuries, and hence posit a huge threat to the space ecosystem. Scientists and engineers are _ exploring Artificial Intelligence (Al) technology to transform space surveillance tracking to overcome these difficulties. Al has the potential to significantly increase our understanding of space dynamics and our capacity to detect and manage objects in orbit by processing enormous volumes of data, identifying patterns, and making predictions in real-time. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MBAEx Magazine Committee, Indian Institute of Management Calcutta | en_US |
dc.relation.ispartofseries | Vol. 5 (5th ed.); | - |
dc.subject | AI | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Orbital Safety | en_US |
dc.subject | Al-Powered Space Surveillance | en_US |
dc.title | Celestial Pathways - AI's role in Orbital Safety | en_US |
dc.type | Article | en_US |
Appears in Collections: | Volume 5, January 2024 (5th ed.) |
Files in This Item:
File | Description | Size | Format | |
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Celestial Pathways.pdf | Celestial Pathways - AI's role in Orbital Safety | 582.99 kB | Adobe PDF | View/Open |
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