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1. |
Record Nr. |
UNINA9910557566603321 |
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Autore |
Cho Seongjae |
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Titolo |
Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (81 p.) |
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Soggetti |
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Energy industries & utilities |
Technology: general issues |
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Lingua di pubblicazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This book aims to convey the most recent progress in hardware-driven neuromorphic systems based on semiconductor memory technologies. Machine learning systems and various types of artificial neural networks to realize the learning process have mainly focused on software technologies. Tremendous advances have been made, particularly in the area of data inference and recognition, in which humans have great superiority compared to conventional computers. In order to more effectively mimic our way of thinking in a further hardware sense, more synapse-like components in terms of integration density, completeness in realizing biological synaptic behaviors, and most importantly, energy-efficient operation capability, should be prepared. For higher resemblance with the biological nervous system, future developments ought to take power consumption into account and foster revolutions at the device level, which can be realized by memory technologies. This book consists of seven articles in which most recent research findings on neuromorphic systems are reported in the highlights of various memory devices and architectures. Synaptic devices and their behaviors, many-core neuromorphic platforms in close relation with memory, novel materials enabling the low-power synaptic operations based on memory devices are studied, along with evaluations and applications. Some of them can be practically realized |
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due to high Si processing and structure compatibility with contemporary semiconductor memory technologies in production, which provides perspectives of neuromorphic chips for mass production. |
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2. |
Record Nr. |
UNINA9910557764503321 |
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Autore |
McAleer Michael |
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Titolo |
Review Papers for Journal of Risk and Financial Management (JRFM) |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (206 p.) |
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Soggetti |
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Technology: general issues |
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Sommario/riassunto |
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The Journal of Risk and Financial Management (JRFM) was inaugurated in 2008 and has successfully continued publishing, with Volume 13 in 2020. Since the journal was established, JRFM has published in excess of 580 topical and interesting theoretical and empirical papers in financial economics, financial econometrics, banking, finance, mathematical finance, statistical finance, accounting, decision sciences, information management, tourism economics and finance, international rankings of journals in financial economics, and bibliometric rankings of journals in cognate disciplines. Papers published in the journal range from novel technical and theoretical papers to innovative empirical contributions. The journal wishes to encourage critical review papers on topical subjects in any of the topics mentioned above in financial economics and in cognate disciplines. |
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3. |
Record Nr. |
UNISANNIOPUV0905794 |
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Autore |
Tretter, Steven A. |
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Titolo |
Communication system design using DSP algorithms : with laboratory experiments for the TMS320C6701 and TMS320C6711 / Steven A. Tretter |
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Pubbl/distr/stampa |
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New York, : Kluwer Academic, c2003 |
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ISBN |
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Descrizione fisica |
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XIX, 301 p. ; 26 cm + 1 floppy disk. |
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Collana |
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Information technology: transmission, processing and storage |
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Disciplina |
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Soggetti |
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Segnali elettrici - Elaborazione elettronica |
Microprocessori TMS320 |
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Collocazione |
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SALA DING 621.382078 TRE.co |
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