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Neil Turkewitz
6h
MIT, EAPS, PAOC Program, 4th-year PhD student
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In the study conducted by Brown et al. (2023), machine learning models were trained using historical weather data to examine the likelihood of wildfire occurrence over the past 20 years.
Climate warming increases extreme daily wildfire growth risk in California
Patrick T. Brown, [...], Adam K. Kochanski & Craig B. Clements
Machine learning predicts that anthropogenic warming has increased the likelihood of extreme daily wildfire growth in California by an average of 25% compared to preindustrial times, with future projections varying widely based on emission scenarios.
18.9 k
1.2k
Tianyin Xu
11h
MIT, EAPS, PAOC Program, 4th-year PhD student
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Jiyuan Zhang (@jiyuzh) discussed his work on Huge Guest Page Tables (HugeGPT) at @IllinoisCS Systems Reading Group. HugeGPT keeps GPTs on host huge pages to effectively accelerate nested page table walks for cloud VMs. It's a joint work with @hijiaweiwei's group @universityofri.
18.9 k
1.2k
365
GenAI Paper Summary
In the study conducted by Brown et al. (2023), machine learning models were trained using historical weather data to examine the likelihood of wildfire occurrence in California over the past 20 years. Later, the researchers ...see more
Climate warming increases extreme daily wildfire growth risk in California
Machine learning predicts that anthropogenic warming has increased the likelihood of extreme daily wildfire growth in California by an average of 25% compared to preindustrial times, with future projections varying widely based on emission scenarios.
Patrick T. Brown
Holt Hanley
Adam K. Kochanski
Craig B. Clements
18.9 k
1.2k
Tianyin Xu
11h
MIT, EAPS, PAOC Program, 4th-year PhD student
Follow
Jiyuan Zhang (@jiyuzh) discussed his work on Huge Guest Page Tables (HugeGPT) at @IllinoisCS Systems Reading Group. HugeGPT keeps GPTs on host huge pages to effectively accelerate nested page table walks for cloud VMs. It's a joint work with @hijiaweiwei's group @universityofri.
18.9 k
1.2k
365