Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tegan Maharaj"'
Autor:
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Nanor Minoyan, Soren Harnois-Leblanc, Joanna Merckx, Andrew Williams, Victor Schmidt, Pierre-Luc St-Charles, Akshay Patel, Yang Zhang, David L Buckeridge, Christopher Pal, Bernhard Schölkopf, Yoshua Bengio
Publikováno v:
PLOS Digital Health, Vol 2, Iss 3, p e0000199 (2023)
The COVID-19 pandemic has spurred an unprecedented demand for interventions that can reduce disease spread without excessively restricting daily activity, given negative impacts on mental health and economic outcomes. Digital contact tracing (DCT) ap
Externí odkaz:
https://doaj.org/article/3b38214f54c04b829a2ef29a45a8cec7
Autor:
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio
Publikováno v:
ACM Computing Surveys, 55 (2)
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb10b76553baaecc5fc171c55af079a3
Autor:
Mayur Mudigonda, Prabhat Ram, Karthik Kashinath, Evan Racah, Ankur Mahesh, Yunjie Liu, Christopher Beckham, Jim Biard, Thorsten Kurth, Sookyung Kim, Samira Kahou, Tegan Maharaj, Burlen Loring, Christopher Pal, Travis O'Brien, Kenneth E. Kunkel, Michael F. Wehner, William D. Collins
Publikováno v:
Deep learning for the Earth Sciences
Publikováno v:
CVPR
While deep convolutional neural networks frequently approach or exceed human-level performance at benchmark tasks involving static images, extending this success to moving images is not straightforward. Having models which can learn to understand vid