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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.
United States Megan Craig Andrei Armiagov Shutterstock Professor Andrew Markham Department Of Computer Science University Of Oxford European Space Agency

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.
United Kingdom Czech Republic Andrew Markham Caroline Wood International Geoscience Times Higher Education World University Rankings

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.
South Africa South African Rajesh Sundaresan Siva Athreya Bengaluru Centre Biocomplexity Institute

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India may see 10 lakh Covid cases a day by Jan-end: IISc-ISI model

As the Omicron-triggered third Covid wave enters a key phase, a new projection by researchers at the Indian Institute of Science and Indian Statistical Institute (IISc-ISI) claims that the country is likely to witness over 10 lakh Covid cases a day at January-end/beginning of February when the third wave meets its peak.
Tamil Nadu Uttar Pradesh Rajesh Sundaresan Siva Athreya Indian Institute Of Science Indian Statistical Institute

India may see 10 lakh Covid cases a day by Jan-end: IISc-ISI model

As the Omicron-triggered third Covid wave enters a key phase, a new projection by researchers at the Indian Institute of Science and Indian Statistical Institute (IISc-ISI) claims that the country is likely to witness over 10 lakh Covid cases a day at January-end/beginning of February when the third wave meets its peak.
Uttar Pradesh Tamil Nadu Rajesh Sundaresan Siva Athreya Indian Institute Of Science Indian Statistical Institute

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