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Institution

Technion – Israel Institute of Technology

EducationHaifa, Israel
About: Technion – Israel Institute of Technology is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 31714 authors who have published 79377 publications receiving 2603976 citations. The organization is also known as: Technion Israel Institute of Technology & Ṭekhniyon, Makhon ṭekhnologi le-Yiśraʼel.


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TL;DR: A binary matrix multiplication GPU kernel is programmed with which it is possible to run the MNIST QNN 7 times faster than with an unoptimized GPU kernel, without suffering any loss in classification accuracy.
Abstract: We introduce a method to train Quantized Neural Networks (QNNs) --- neural networks with extremely low precision (e.g., 1-bit) weights and activations, at run-time. At train-time the quantized weights and activations are used for computing the parameter gradients. During the forward pass, QNNs drastically reduce memory size and accesses, and replace most arithmetic operations with bit-wise operations. As a result, power consumption is expected to be drastically reduced. We trained QNNs over the MNIST, CIFAR-10, SVHN and ImageNet datasets. The resulting QNNs achieve prediction accuracy comparable to their 32-bit counterparts. For example, our quantized version of AlexNet with 1-bit weights and 2-bit activations achieves $51\%$ top-1 accuracy. Moreover, we quantize the parameter gradients to 6-bits as well which enables gradients computation using only bit-wise operation. Quantized recurrent neural networks were tested over the Penn Treebank dataset, and achieved comparable accuracy as their 32-bit counterparts using only 4-bits. Last but not least, we programmed a binary matrix multiplication GPU kernel with which it is possible to run our MNIST QNN 7 times faster than with an unoptimized GPU kernel, without suffering any loss in classification accuracy. The QNN code is available online.

1,232 citations

Journal ArticleDOI
Deanne N. Den Hartog1, Robert J. House2, Paul J. Hanges3, S. Antonio Ruiz-Quintanilla4, Peter W. Dorfman5, Ikhlas A. Abdalla6, Babajide Samuel Adetoun, Ram N. Aditya7, Hafid Agourram8, Adebowale Akande, Bolanle Elizabeth Akande, Staffan Åkerblom9, Carlos Altschul10, Eden Alvarez-Backus, Julian Andrews11, Maria Eugenia Arias, Mirian Sofyan Arif12, Neal M. Ashkanasy13, Arben Asllani14, Guiseppe Audia15, Gyula Bakacsi, Helena Bendova, David Beveridge16, Rabi S. Bhagat17, Alejandro Blacutt, Jiming Bao18, Domenico Bodega, Muzaffer Bodur19, Simon Booth20, Annie E. Booysen21, Dimitrios Bourantas22, Klas Brenk, Felix C. Brodbeck23, Dale Everton Carl24, Philippe Castel25, Chieh Chen Chang26, Sandy Chau, Frenda K.K. Cheung27, Jagdeep S. Chhokar28, Jimmy Chiu29, Peter Cosgriff30, Ali Dastmalchian31, Jose Augusto Dela Coleta, Marilia Ferreira Dela Coleta, Marc Deneire, Markus Dickson32, Gemma Donnelly-Cox33, Christopher P. Earley34, Mahmoud A. Elgamal35, Miriam Erez36, Sarah Falkus13, Mark Fearing30, Richard H. G. Field11, Carol Fimmen16, Michael Frese37, Ping Ping Fu38, Barbara Gorsler39, Mikhail V. Gratchev, Vipin Gupta40, Celia Gutiérrez41, Frans Marti Hartanto, Markus Hauser, Ingalill Holmberg9, Marina Holzer, Michael Hoppe, Jon P. Howell5, Elena Ibrieva42, John Ickis43, Zakaria Ismail44, Slawomir Jarmuz45, Mansour Javidan24, Jorge Correia Jesuino, Li Ji46, Kuen Yung Jone, Geoffrey Jones20, Revaz Jorbenadse47, Hayat Kabasakal19, Mary A. Keating33, Andrea Keller39, Jeffrey C. Kennedy30, Jay S. Kim48, Giorgi Kipiani, Matthias Kipping20, Edvard Konrad, Paul L. Koopman1, Fuh Yeong Kuan, Alexandre Kurc, Marie-Françoise Lacassagne25, Sang M. Lee42, Christopher Leeds, Francisco Leguizamón43, Martin Lindell, Jean Lobell, Fred Luthans42, Jerzy Maczynski49, Norma Binti Mansor, Gillian Martin33, Michael Martin42, Sandra Martinez5, Aly Messallam50, Cecilia McMillen51, Emiko Misumi, Jyuji Misumi, Moudi Al-Homoud35, Phyllisis M. Ngin52, Jeremiah O’Connell53, Enrique Ogliastri54, Nancy Papalexandris22, T. K. Peng55, Maria Marta Preziosa, José Prieto41, Boris Rakitsky, Gerhard Reber56, Nikolai Rogovsky57, Joydeep Roy-Bhattacharya, Amir Rozen36, Argio Sabadin, Majhoub Sahaba, Colombia Salon De Bustamante54, Carmen Santana-Melgoza58, Daniel A. Sauers30, Jette Schramm-Nielsen59, Majken Schultz59, Zuqi Shi18, Camilla Sigfrids, Kye Chung Song60, Erna Szabo56, Albert C. Y. Teo61, Henk Thierry62, Jann Hidayat Tjakranegara, Sylvana Trimi42, Anne S. Tsui63, Pavakanum Ubolwanna64, Marius W. Van Wyk21, Marie Vondrysova65, Jürgen Weibler66, Celeste P.M. Wilderom62, Rongxian Wu67, Rolf Wunderer68, Nik Rahiman Nik Yakob44, Yongkang Yang18, Zuoqiu Yin18, Michio Yoshida69, Jian Zhou18 
VU University Amsterdam1, University of Pennsylvania2, University of Maryland, Baltimore3, Cornell University4, New Mexico State University5, Qatar Airways6, Louisiana Tech University7, Université du Québec8, Stockholm School of Economics9, University of Buenos Aires10, University of Alberta11, University of Indonesia12, University of Queensland13, Bellevue University14, London Business School15, Western Illinois University16, University of Memphis17, Fudan University18, Boğaziçi University19, University of Reading20, University of South Africa21, Athens University of Economics and Business22, Ludwig Maximilian University of Munich23, University of Calgary24, University of Burgundy25, National Sun Yat-sen University26, Hong Kong Polytechnic University27, Indian Institute of Management Ahmedabad28, City University of Hong Kong29, Lincoln University (New Zealand)30, University of Lethbridge31, Wayne State University32, University College Dublin33, Indiana University34, Kuwait University35, Technion – Israel Institute of Technology36, University of Giessen37, The Chinese University of Hong Kong38, University of Zurich39, Fordham University40, Complutense University of Madrid41, University of Nebraska–Lincoln42, INCAE Business School43, National University of Malaysia44, Opole University45, Hong Kong Baptist University46, Tbilisi State University47, Ohio State University48, University of Wrocław49, Alexandria University50, University of San Francisco51, Melbourne Business School52, Bentley University53, University of Los Andes54, I-Shou University55, Johannes Kepler University of Linz56, International Labour Organization57, Smith College58, Copenhagen Business School59, Chungnam National University60, National University of Singapore61, Tilburg University62, Hong Kong University of Science and Technology63, Thammasat University64, Sewanee: The University of the South65, FernUniversität Hagen66, Soochow University (Suzhou)67, University of St. Gallen68, Kumamoto University69
TL;DR: In this paper, the authors focus on culturally endorsed implicit theories of leadership (CLTs) and show that attributes associated with charismatic/transformational leadership will be universally endorsed as contributing to outstanding leadership.
Abstract: This study focuses on culturally endorsed implicit theories of leadership (CLTs). Although cross-cultural research emphasizes that different cultural groups likely have different conceptions of what leadership should entail, a controversial position is argued here: namely that attributes associated with charismatic/transformational leadership will be universally endorsed as contributing to outstanding leadership. This hypothesis was tested in 62 cultures as part of the Global Leadership and Organizational Behavior Effectiveness (GLOBE) Research Program. Universally endorsed leader attributes, as well as attributes that are universally seen as impediments to outstanding leadership and culturally contingent attributes are presented here. The results support the hypothesis that specific aspects of charismatic/transformational leadership are strongly and universally endorsed across cultures.

1,227 citations

Journal ArticleDOI
TL;DR: The induction of endothelial vessel networks in engineered skeletal muscle tissue constructs using a three-dimensional multiculture system consisting of myoblasts, embryonic fibroblasts and endothelial cells coseeded on highly porous, biodegradable polymer scaffolds is described.
Abstract: One of the major obstacles in engineering thick, complex tissues such as muscle is the need to vascularize the tissue in vitro. Vascularization in vitro could maintain cell viability during tissue growth, induce structural organization and promote vascularization upon implantation. Here we describe the induction of endothelial vessel networks in engineered skeletal muscle tissue constructs using a three-dimensional multiculture system consisting of myoblasts, embryonic fibroblasts and endothelial cells coseeded on highly porous, biodegradable polymer scaffolds. Analysis of the conditions for induction and stabilization of the vessels in vitro showed that addition of embryonic fibroblasts increased the levels of vascular endothelial growth factor expression in the construct and promoted formation and stabilization of the endothelial vessels. We studied the survival and vascularization of the engineered muscle implants in vivo in three different models. Prevascularization improved the vascularization, blood perfusion and survival of the muscle tissue constructs after transplantation.

1,227 citations

Journal ArticleDOI
TL;DR: Results indicate that organization-level and group- level climates are globally aligned, and the effect of organization climate on safety behavior is fully mediated by group climate level, but the data also revealed meaningful group-level variation in a single organization, attributable to supervisory discretion in implementing formal procedures.
Abstract: Organizational climates have been investigated separately at organization and subunit levels. This article tests a multilevel model of safety climate, covering both levels of analysis. Results indicate that organization-level and group-level climates are globally aligned, and the effect of organization climate on safety behavior is fully mediated by group climate level. However, the data also revealed meaningful group-level variation in a single organization, attributable to supervisory discretion in implementing formal procedures associated with competing demands like safety versus productivity. Variables that limit supervisory discretion (i.e., organization climate strength and procedural formalization) reduce both between-groups climate variation and within-group variability (i.e., increased group climate strength), although effect sizes were smaller than those associated with cross-level climate relationships. Implications for climate theory are discussed.

1,221 citations

Journal ArticleDOI
TL;DR: Capacitive deionization (CDI) is an emerging technology for the facile removal of charged ionic species from aqueous solutions, and is currently being widely explored for water desalination applications.
Abstract: Capacitive deionization (CDI) is an emerging technology for the facile removal of charged ionic species from aqueous solutions, and is currently being widely explored for water desalination applications. The technology is based on ion electrosorption at the surface of a pair of electrically charged electrodes, commonly composed of highly porous carbon materials. The CDI community has grown exponentially over the past decade, driving tremendous advances via new cell architectures and system designs, the implementation of ion exchange membranes, and alternative concepts such as flowable carbon electrodes and hybrid systems employing a Faradaic (battery) electrode. Also, vast improvements have been made towards unraveling the complex processes inherent to interfacial electrochemistry, including the modelling of kinetic and equilibrium aspects of the desalination process. In our perspective, we critically review and evaluate the current state-of-the-art of CDI technology and provide definitions and performance metric nomenclature in an effort to unify the fast-growing CDI community. We also provide an outlook on the emerging trends in CDI and propose future research and development directions.

1,219 citations


Authors

Showing all 31937 results

NameH-indexPapersCitations
Robert Langer2812324326306
Nicholas G. Martin1921770161952
Tobin J. Marks1591621111604
Grant W. Montgomery157926108118
David Eisenberg156697112460
David J. Mooney15669594172
Dirk Inzé14964774468
Jerrold M. Olefsky14359577356
Joseph J.Y. Sung142124092035
Deborah Estrin135562106177
Bruce Yabsley133119184889
Jerry W. Shay13363974774
Richard N. Bergman13047791718
Shlomit Tarem129130686919
Allen Mincer129104080059
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023147
2022390
20213,397
20203,526
20193,273
20183,131