Zobrazeno 1 - 10
of 320
pro vyhledávání: '"Mehonic A"'
Neural networks are now deployed in a wide number of areas from object classification to natural language systems. Implementations using analog devices like memristors promise better power efficiency, potentially bringing these applications to a grea
Externí odkaz:
http://arxiv.org/abs/2409.19671
Autor:
Mehonic, Adnan, Ielmini, Daniele, Roy, Kaushik, Mutlu, Onur, Kvatinsky, Shahar, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabe, Spiga, Sabina, Savelev, Sergey, Balanov, Alexander G, Chawla, Nitin, Desoli, Giuseppe, Malavena, Gerardo, Compagnoni, Christian Monzio, Wang, Zhongrui, Yang, J Joshua, Syed, Ghazi Sarwat, Sebastian, Abu, Mikolajick, Thomas, Noheda, Beatriz, Slesazeck, Stefan, Dieny, Bernard, Tuo-Hung, Hou, Varri, Akhil, Bruckerhoff-Pluckelmann, Frank, Pernice, Wolfram, Zhang, Xixiang, Pazos, Sebastian, Lanza, Mario, Wiefels, Stefan, Dittmann, Regina, Ng, Wing H, Buckwell, Mark, Cox, Horatio RJ, Mannion, Daniel J, Kenyon, Anthony J, Lu, Yingming, Yang, Yuchao, Querlioz, Damien, Hutin, Louis, Vianello, Elisa, Chowdhury, Sayeed Shafayet, Mannocci, Piergiulio, Cai, Yimao, Sun, Zhong, Pedretti, Giacomo, Strachan, John Paul, Strukov, Dmitri, Gallo, Manuel Le, Ambrogio, Stefano, Valov, Ilia, Waser, Rainer
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently utilized technologies, providing an overview of emerging technologies, add
Externí odkaz:
http://arxiv.org/abs/2407.02353
Autor:
Mehonic, Adnan, Joksas, Dovydas
Digital computers have been getting exponentially faster for decades, but huge challenges exist today. Transistor scaling, described by Moore's law, has been slowing down over the last few years, ending the era of fully predictable performance improv
Externí odkaz:
http://arxiv.org/abs/2308.03659
Autor:
Ajanović, Zlatan, Aličković, Emina, Branković, Aida, Delalić, Sead, Kurtić, Eldar, Malikić, Salem, Mehonić, Adnan, Merzić, Hamza, Šehić, Kenan, Trbalić, Bahrudin
Artificial Intelligence (AI) is one of the most promising technologies of the 21. century, with an already noticeable impact on society and the economy. With this work, we provide a short overview of global trends, applications in industry and select
Externí odkaz:
http://arxiv.org/abs/2209.03990
Autor:
Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco, Sabina Spiga, Sergey Savel’ev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Stefan Slesazeck, Beatriz Noheda, Bernard Dieny, Tuo-Hung (Alex) Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio R. J. Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser
Publikováno v:
APL Materials, Vol 12, Iss 10, Pp 109201-109201-59 (2024)
Externí odkaz:
https://doaj.org/article/f5e2e018db184cdfa86a6be24ff6f6e6
Publikováno v:
APL Machine Learning, Vol 2, Iss 3, Pp 030401-030401-2 (2024)
Externí odkaz:
https://doaj.org/article/68590ab064644e9f8b108691fab7ec94
Autor:
Fernando Aguirre, Abu Sebastian, Manuel Le Gallo, Wenhao Song, Tong Wang, J. Joshua Yang, Wei Lu, Meng-Fan Chang, Daniele Ielmini, Yuchao Yang, Adnan Mehonic, Anthony Kenyon, Marco A. Villena, Juan B. Roldán, Yuting Wu, Hung-Hsi Hsu, Nagarajan Raghavan, Jordi Suñé, Enrique Miranda, Ahmed Eltawil, Gianluca Setti, Kamilya Smagulova, Khaled N. Salama, Olga Krestinskaya, Xiaobing Yan, Kah-Wee Ang, Samarth Jain, Sifan Li, Osamah Alharbi, Sebastian Pazos, Mario Lanza
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-40 (2024)
Abstract Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units operating in parallel. The low communication bandwidth between memory and proc
Externí odkaz:
https://doaj.org/article/2747dc5462eb47f38960b290c0cdbb9e
Autor:
Joksas, Dovydas, AlMutairi, AbdulAziz, Lee, Oscar, Cubukcu, Murat, Lombardo, Antonio, Kurebayashi, Hidekazu, Kenyon, Anthony J., Mehonic, Adnan
Publikováno v:
Adv. Intell. Syst. 2022, 2200068
In a data-driven economy, virtually all industries benefit from advances in information technology -- powerful computing systems are critically important for rapid technological progress. However, this progress might be at risk of slowing down if we
Externí odkaz:
http://arxiv.org/abs/2203.06147
Autor:
Joksas, Dovydas, Wang, Erwei, Barmpatsalos, Nikolaos, Ng, Wing H., Kenyon, Anthony J., Constantinides, George A., Mehonic, Adnan
Publikováno v:
Adv. Sci. 2022, 2105784
Recent years have seen a rapid rise of artificial neural networks being employed in a number of cognitive tasks. The ever-increasing computing requirements of these structures have contributed to a desire for novel technologies and paradigms, includi
Externí odkaz:
http://arxiv.org/abs/2112.06887
Autor:
Mehonic, Adnan, Kenyon, Anthony J
New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever-incre
Externí odkaz:
http://arxiv.org/abs/2104.14517