Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Jabbour, Jason"'
Autor:
Mayoral-Vilches, Víctor, Jabbour, Jason, Hsiao, Yu-Shun, Wan, Zishen, Crespo-Álvarez, Martiño, Stewart, Matthew, Reina-Muñoz, Juan Manuel, Nagras, Prateek, Vikhe, Gaurav, Bakhshalipour, Mohammad, Pinzger, Martin, Rass, Stefan, Panigrahi, Smruti, Corradi, Giulio, Roy, Niladri, Gibbons, Phillip B., Neuman, Sabrina M., Plancher, Brian, Reddi, Vijay Janapa
We introduce RobotPerf, a vendor-agnostic benchmarking suite designed to evaluate robotics computing performance across a diverse range of hardware platforms using ROS 2 as its common baseline. The suite encompasses ROS 2 packages covering the full r
Externí odkaz:
http://arxiv.org/abs/2309.09212
Autor:
Krishnan, Srivatsan, Yazdanbaksh, Amir, Prakash, Shvetank, Jabbour, Jason, Uchendu, Ikechukwu, Ghosh, Susobhan, Boroujerdian, Behzad, Richins, Daniel, Tripathy, Devashree, Faust, Aleksandra, Reddi, Vijay Janapa
Machine learning is a prevalent approach to tame the complexity of design space exploration for domain-specific architectures. Using ML for design space exploration poses challenges. First, it's not straightforward to identify the suitable algorithm
Externí odkaz:
http://arxiv.org/abs/2306.08888
Autor:
Gao, Ye, Jabbour, Jason, Ko, Eunjung, Wijayasingha, Lahiru Nuwan, Kim, Sooyoung, Wang, Zetao, Ma, Meiyi, Rose, Karen, Gordon, Kristina, Wang, Hongning, Stankovic, John
To demonstrate the value of machine learning based smart health technologies, researchers have to deploy their solutions into complex real-world environments with real participants. This gives rise to many, oftentimes unexpected, challenges for creat
Externí odkaz:
http://arxiv.org/abs/2211.03149
Autor:
Neuman, Sabrina M., Plancher, Brian, Duisterhof, Bardienus P., Krishnan, Srivatsan, Banbury, Colby, Mazumder, Mark, Prakash, Shvetank, Jabbour, Jason, Faust, Aleksandra, de Croon, Guido C. H. E., Reddi, Vijay Janapa
Machine learning (ML) has become a pervasive tool across computing systems. An emerging application that stress-tests the challenges of ML system design is tiny robot learning, the deployment of ML on resource-constrained low-cost autonomous robots.
Externí odkaz:
http://arxiv.org/abs/2205.05748
Autor:
Jabbour, Jason, Flachsland, Christian
Publikováno v:
In Environmental Science and Policy November 2017 77:193-202
Publikováno v:
In Environmental Science and Policy November 2017 77:225-234
Publikováno v:
In Urban Climate June 2015 12:183-204
Autor:
Jabbour, Jason
Achieving global sustainability calls for deliberate and radical transformations. Limitations in established global governance and knowledge systems require an overhaul of the international processes that can generate a widely accepted body of credib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09120c6a6f6caa5b4fb81de4ad87b322
Autor:
Pereira, Laura, Asrar, Ghassem R., Bhargava, Rohan, Fisher, Laur Hesse, Hsu, Angel, Jabbour, Jason, Nel, Jeanne, Selomane, Odirilwe, Sitas, Nadia, Trisos, Christopher, Ward, James, Ende, Mandy van den, Vervoort, Joost, Weinfurter, Amy
Future scenarios and pathways of potential development trajectories are powerful tools to assist with decision-making to address many sustainability challenges. Such scenarios play a major role in global environmental assessments (GEAs). Currently, h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::5ab26a0153278fb261a1724d27966de6
https://dspace.library.uu.nl/handle/1874/416172
https://dspace.library.uu.nl/handle/1874/416172
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