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pro vyhledávání: '"Gallo, Manuel Le"'
Autor:
Momeni, Ali, Rahmani, Babak, Scellier, Benjamin, Wright, Logan G., McMahon, Peter L., Wanjura, Clara C., Li, Yuhang, Skalli, Anas, Berloff, Natalia G., Onodera, Tatsuhiro, Oguz, Ilker, Morichetti, Francesco, del Hougne, Philipp, Gallo, Manuel Le, Sebastian, Abu, Mirhoseini, Azalia, Zhang, Cheng, Marković, Danijela, Brunner, Daniel, Moser, Christophe, Gigan, Sylvain, Marquardt, Florian, Ozcan, Aydogan, Grollier, Julie, Liu, Andrea J., Psaltis, Demetri, Alù, Andrea, Fleury, Romain
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research area with small-scale laboratory demonstrations, they are arguably one
Externí odkaz:
http://arxiv.org/abs/2406.03372
Autor:
Karunaratne, Geethan, Gallo, Manuel Le, Cherubini, Giovanni, Benini, Luca, Rahimi, Abbas, Sebastian, Abu
Hyperdimensional computing (HDC) is an emerging computational framework that takes inspiration from attributes of neuronal circuits such as hyperdimensionality, fully distributed holographic representation, and (pseudo)randomness. When employed for m
Externí odkaz:
http://arxiv.org/abs/1906.01548
Autor:
Salinga, Martin, Kersting, Benedikt, Ronneberger, Ider, Jonnalagadda, Vara Prasad, Vu, Xuan Thang, Gallo, Manuel Le, Giannopoulos, Iason, Cojocaru-Mirédin, Oana, Mazzarello, Riccardo, Sebastian, Abu
Publikováno v:
Nature Materials, volume 17, pages 681-685 (2018)
Phase change memory has been developed into a mature technology capable of storing information in a fast and non-volatile way, with potential for neuromorphic computing applications. However, its future impact in electronics depends crucially on how
Externí odkaz:
http://arxiv.org/abs/1902.00254
Autor:
Ríos, Carlos, Youngblood, Nathan, Cheng, Zengguang, Gallo, Manuel Le, Pernice, Wolfram H. P., Wright, C David, Sebastian, Abu, Bhaskaran, Harish
Collocated data processing and storage are the norm in biological systems. Indeed, the von Neumann computing architecture, that physically and temporally separates processing and memory, was born more of pragmatism based on available technology. As o
Externí odkaz:
http://arxiv.org/abs/1801.06228