Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Kenyon, Anthony"'
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
Accurate and timely detection of cyber threats is critical to keeping our online economy and data safe. A key technique in early detection is the classification of unusual patterns of network behaviour, often hidden as low-frequency events within com
Externí odkaz:
http://arxiv.org/abs/2404.19121
Typical event datasets such as those used in network intrusion detection comprise hundreds of thousands, sometimes millions, of discrete packet events. These datasets tend to be high dimensional, stateful, and time-series in nature, holding complex l
Externí odkaz:
http://arxiv.org/abs/2310.09834
Bio-inspired computing has focused on neuron and synapses with great success. However, the connections between these, the dendrites, also play an important role. In this paper, we investigate the motivation for replicating dendritic computation and p
Externí odkaz:
http://arxiv.org/abs/2304.00951
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:
Wentink, Mark, Gaberle, Julian, Aghajanian, Martik, Mostofi, Arash A., Curson, Neil J., Lischner, Johannes, Schofield, Steven R., Shluger, Alexander L., Kenyon, Anthony J.
Publikováno v:
Journal of Physical Chemistry C (2021)
Nominally-pure black phosphorus (BP) is commonly found to be a p-type semiconductor, suggesting the ubiquitious presence of impurity species or intrinsic, charged defects. Moreover, scanning tunnelling microscopy (STM) images of black phosphorus reve
Externí odkaz:
http://arxiv.org/abs/2110.09808
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