Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Mehonić, Adnan"'
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:
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
Autor:
Buckwell, Mark, Ng, Wing Hung, Mannion, Daniel John, Hudziak, Stephen, Mehonic, Adnan, Kenyon, Anthony Joseph
Resistive random-access memories, also known as memristors, whose resistance can be modulated by the electrically driven formation and disruption of conductive filaments within an insulator, are promising candidates for neuromorphic applications due
Externí odkaz:
http://arxiv.org/abs/2010.15184
Autor:
Mehonic, Adnan, Sebastian, Abu, Rajendran, Bipin, Simeone, Osvaldo, Vasilaki, Eleni, Kenyon, Anthony J.
Machine learning, particularly in the form of deep learning, has driven most of the recent fundamental developments in artificial intelligence. Deep learning is based on computational models that are, to a certain extent, bio-inspired, as they rely o
Externí odkaz:
http://arxiv.org/abs/2004.14942
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