Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/133064| Title: | Breaking the Hubble tension : researchers deploy machine learning to understand the universe |
| Authors: | Keszthelyi, Christian |
| Keywords: | Machine learning Universe -- Miscellanea Cosmology Expanding universe |
| Issue Date: | 2023-07 |
| Publisher: | University of Malta |
| Citation: | Keszthelyi, C. (2023). Breaking the Hubble tension : researchers deploy machine learning to understand the universe. THINK Magazine, 41, 51-53. |
| Abstract: | Have you ever wondered how big or old the universe is? Actually, scratch that; how would you even measure it? A group of scientists at UM hope to answer these questions through machine learning. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/133064 |
| Appears in Collections: | Think Magazine, Issue 41 Think Magazine, Issue 41 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| THINK41-Breaking.pdf | 841.13 kB | Adobe PDF | View/Open |
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