Zobrazeno 1 - 10
of 888
pro vyhledávání: '"Gschwind, P"'
Autor:
Quynh-Anh Nguyen, Peter M. Klein, Cheng Xie, Katelyn N. Benthall, Jillian Iafrati, Jesslyn Homidan, Jacob T. Bendor, Barna Dudok, Jordan S. Farrell, Tilo Gschwind, Charlotte L. Porter, Annahita Keravala, G. Steven Dodson, Ivan Soltesz
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Epilepsy is a prevalent disorder involving neuronal network hyperexcitability, yet existing therapeutic strategies often fail to provide optimal patient outcomes. Chemogenetic approaches, where exogenous receptors are expressed in defined br
Externí odkaz:
https://doaj.org/article/9991808b163e4d46b294196caba44f82
Autor:
Wu, Carole-Jean, Raghavendra, Ramya, Gupta, Udit, Acun, Bilge, Ardalani, Newsha, Maeng, Kiwan, Chang, Gloria, Behram, Fiona Aga, Huang, James, Bai, Charles, Gschwind, Michael, Gupta, Anurag, Ott, Myle, Melnikov, Anastasia, Candido, Salvatore, Brooks, David, Chauhan, Geeta, Lee, Benjamin, Lee, Hsien-Hsin S., Akyildiz, Bugra, Balandat, Maximilian, Spisak, Joe, Jain, Ravi, Rabbat, Mike, Hazelwood, Kim
This paper explores the environmental impact of the super-linear growth trends for AI from a holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the carbon footprint of AI computing by examining the model development
Externí odkaz:
http://arxiv.org/abs/2111.00364
Autor:
Anderson, Michael, Chen, Benny, Chen, Stephen, Deng, Summer, Fix, Jordan, Gschwind, Michael, Kalaiah, Aravind, Kim, Changkyu, Lee, Jaewon, Liang, Jason, Liu, Haixin, Lu, Yinghai, Montgomery, Jack, Moorthy, Arun, Nadathur, Satish, Naghshineh, Sam, Nayak, Avinash, Park, Jongsoo, Petersen, Chris, Schatz, Martin, Sundaram, Narayanan, Tang, Bangsheng, Tang, Peter, Yang, Amy, Yu, Jiecao, Yuen, Hector, Zhang, Ying, Anbudurai, Aravind, Balan, Vandana, Bojja, Harsha, Boyd, Joe, Breitbach, Matthew, Caldato, Claudio, Calvo, Anna, Catron, Garret, Chandwani, Sneh, Christeas, Panos, Cottel, Brad, Coutinho, Brian, Dalli, Arun, Dhanotia, Abhishek, Duncan, Oniel, Dzhabarov, Roman, Elmir, Simon, Fu, Chunli, Fu, Wenyin, Fulthorp, Michael, Gangidi, Adi, Gibson, Nick, Gordon, Sean, Hernandez, Beatriz Padilla, Ho, Daniel, Huang, Yu-Cheng, Johansson, Olof, Juluri, Shishir, Kanaujia, Shobhit, Kesarkar, Manali, Killinger, Jonathan, Kim, Ben, Kulkarni, Rohan, Lele, Meghan, Li, Huayu, Li, Huamin, Li, Yueming, Liu, Cynthia, Liu, Jerry, Maher, Bert, Mallipedi, Chandra, Mangla, Seema, Matam, Kiran Kumar, Mehta, Jubin, Mehta, Shobhit, Mitchell, Christopher, Muthiah, Bharath, Nagarkatte, Nitin, Narasimha, Ashwin, Nguyen, Bernard, Ortiz, Thiara, Padmanabha, Soumya, Pan, Deng, Poojary, Ashwin, Ye, Qi, Raginel, Olivier, Rajagopal, Dwarak, Rice, Tristan, Ross, Craig, Rotem, Nadav, Russ, Scott, Shah, Kushal, Shan, Baohua, Shen, Hao, Shetty, Pavan, Skandakumaran, Krish, Srinivasan, Kutta, Sumbaly, Roshan, Tauberg, Michael, Tzur, Mor, Verma, Sidharth, Wang, Hao, Wang, Man, Wei, Ben, Xia, Alex, Xu, Chenyu, Yang, Martin, Zhang, Kai, Zhang, Ruoxi, Zhao, Ming, Zhao, Whitney, Zhu, Rui, Mathews, Ajit, Qiao, Lin, Smelyanskiy, Misha, Jia, Bill, Rao, Vijay
In this paper, we provide a deep dive into the deployment of inference accelerators at Facebook. Many of our ML workloads have unique characteristics, such as sparse memory accesses, large model sizes, as well as high compute, memory and network band
Externí odkaz:
http://arxiv.org/abs/2107.04140
Autor:
Michael Menzel, Stephan Ossowski, Sebastian Kral, Patrick Metzger, Peter Horak, Ralf Marienfeld, Melanie Boerries, Steffen Wolter, Markus Ball, Olaf Neumann, Sorin Armeanu-Ebinger, Christopher Schroeder, Uta Matysiak, Hannah Goldschmid, Vincent Schipperges, Axel Fürstberger, Michael Allgäuer, Timo Eberhardt, Jakob Niewöhner, Andreas Blaumeiser, Carolin Ploeger, Tobias Bernd Haack, Timothy Kwang Yong Tay, Olga Kelemen, Thomas Pauli, Martina Kirchner, Klaus Kluck, Alexander Ott, Marcus Renner, Jakob Admard, Axel Gschwind, Silke Lassmann, Hans Kestler, Falko Fend, Anna Lena Illert, Martin Werner, Peter Möller, Thomas Theodor Werner Seufferlein, Nisar Malek, Peter Schirmacher, Stefan Fröhling, Daniel Kazdal, Jan Budczies, Albrecht Stenzinger
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-11 (2023)
Abstract A growing number of druggable targets and national initiatives for precision oncology necessitate broad genomic profiling for many cancer patients. Whole exome sequencing (WES) offers unbiased analysis of the entire coding sequence, segmenta
Externí odkaz:
https://doaj.org/article/c80cfb96a9be48f6bbb8329e92275143
Autor:
Sheikh, Nasrullah, Qin, Xiao, Reinwald, Berthold, Miksovic, Christoph, Gschwind, Thomas, Scotton, Paolo
Knowledge graph embedding methods learn embeddings of entities and relations in a low dimensional space which can be used for various downstream machine learning tasks such as link prediction and entity matching. Various graph convolutional network m
Externí odkaz:
http://arxiv.org/abs/2102.07200
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 4165-4181 (2023)
Knowledge of the spatial and temporal characteristics of solar surface irradiance (SSI) is critical in many domains. While meteorological ground stations can provide accurate measurements of SSI locally, they are sparsely distributed worldwide. SSI e
Externí odkaz:
https://doaj.org/article/e189b312a94047729a4021fbf539b900
Autor:
Yvonne Oelmann, Diana Fiedler, Rune Michaelis, Meelis Leivits, Andreas Braun, Philipp Gschwind, Harald Neidhardt, Christoph Willigalla
Publikováno v:
Movement Ecology, Vol 11, Iss 1, Pp 1-9 (2023)
Abstract Background Migratory insects are important for the provision of ecosystem services both at the origin and destination sites but – apart from some iconic species – the migration routes of many insect species have not been assessed. Coastl
Externí odkaz:
https://doaj.org/article/fa43231d55bf45e6a123c5b49eb8907f
Akademický článek
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Akademický článek
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Autor:
Ghada M. H. Abdel-Salam, Susanne Hellmuth, Elise Gradhand, Stephan Käseberg, Jennifer Winter, Ann-Sophie Pabst, Maha M. Eid, Holger Thiele, Peter Nürnberg, Birgit S. Budde, Mohammad Reza Toliat, Ines B. Brecht, Christopher Schroeder, Axel Gschwind, Stephan Ossowski, Friederike Häuser, Heidi Rossmann, Mohamed S. Abdel-Hamid, Ibrahim Hegazy, Ahmed G. Mohamed, Dominik T. Schneider, Aida Bertoli-Avella, Peter Bauer, Jillian N. Pearring, Rolph Pfundt, Alexander Hoischen, Christian Gilissen, Dennis Strand, Ulrich Zechner, Soha A. Tashkandi, Eissa A. Faqeih, Olaf Stemmann, Susanne Strand, Hanno J. Bolz
Publikováno v:
JCI Insight, Vol 8, Iss 22 (2023)
MAD2L1BP-encoded p31comet mediates Trip13-dependent disassembly of Mad2- and Rev7-containing complexes and, through this antagonism, promotes timely spindle assembly checkpoint (SAC) silencing, faithful chromosome segregation, insulin signaling, and
Externí odkaz:
https://doaj.org/article/c2f7dbb684e54ea28e6d06a849f00507