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Using Hyperspectral Machine Learning Models to Combat Climate Change - Vimarsana News

Using Hyperspectral Machine Learning Models to Combat Climate Change

Researchers from the University of Oxford have created a tool that uses machine learning and hyperspectral data from Trillium Technologies’ NIO.space to autonomously detect methane plumes on Earth from orbit. This could make it easier to pinpoint methane “super emitters” and allow for more efficient greenhouse gas emission reduction. The journal Nature Scientific Reports has published the findings.

The Engineer - Machine learning model trained on board satellite - Vimarsana News

The Engineer - Machine learning model trained on board satellite

Oxford University researchers have led a project to train a machine learning model in outer space on board a satellite.

Oxford researchers pioneer outer space machine learning model - Vimarsana News

Oxford researchers pioneer outer space machine learning model

London, UK (SPX) Jul 31, 2023 - In an unprecedented move, a research team at the University of Oxford has successfully trained a machine learning model aboard a satellite in outer space. This groundbreaking achievement has the pot

Researchers successfully train a machine lear - Vimarsana News

Researchers successfully train a machine lear

• Researchers used an innovative machine learning approach to develop a tiny model capable of running on a satellite’s limited processing power; • The trained model successfully detected cloud cover in satellite images in around a tenth of a second; • The model could easily be adapted to enable automated decision making for a range of purposes, from disaster management to deforestation.

Curbs delay, but won't prevent Omicron spread: Study - Vimarsana News

Curbs delay, but won't prevent Omicron spread: Study

Validating the government’s decision to lift night curfew from Monday and to reopen schools, a case study of Bengaluru Urban on the impact of daily night and weekend curfews concluded that the restrictions, at best, slow and delay the spread of the Omicron variant of the coronavirus.