Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN.

Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN.
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : OCLC:971475550
ISBN-13 :
Rating : 4/5 (50 Downloads)

Book Synopsis Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN. by :

Download or read book Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN. written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The White House and Department of Energy have been instrumental in driving the development of a neuromorphic computing program to help the United States continue its lead in basic research into (1) Beyond Exascale--high performance computing beyond Moore's Law and von Neumann architectures, (2) Scientific Discovery--new paradigms for understanding increasingly large and complex scientific data, and (3) Emerging Architectures--assessing the potential of neuromorphic and quantum architectures. Neuromorphic computing spans a broad range of scientific disciplines from materials science to devices, to computer science, to neuroscience, all of which are required to solve the neuromorphic computing grand challenge. In our workshop we focus on the computer science aspects, specifically from a neuromorphic device through an application. Neuromorphic devices present a very different paradigm to the computer science community from traditional von Neumann architectures, which raises six major questions about building a neuromorphic application from the device level. We used these fundamental questions to organize the workshop program and to direct the workshop panels and discussions. From the white papers, presentations, panels, and discussions, there emerged several recommendations on how to proceed.


Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN. Related Books

Neuromorphic Computing, Architectures, Models, and Applications. A Beyond-CMOS Approach to Future Computing, June 29-July 1, 2016, Oak Ridge, TN.
Language: en
Pages:
Authors:
Categories:
Type: BOOK - Published: 2016 - Publisher:

DOWNLOAD EBOOK

The White House and Department of Energy have been instrumental in driving the development of a neuromorphic computing program to help the United States continu
Neuromorphic Computing Principles and Organization
Language: en
Pages: 260
Authors: Abderazek Ben Abdallah
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neu
Neuromorphic Computing and Beyond
Language: en
Pages: 233
Authors: Khaled Salah Mohamed
Categories: Neural computers
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

This book discusses and compares several new trends that can be used to overcome Moore's law limitations, including Neuromorphic, Approximate, Parallel, In Memo
Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Language: en
Pages: 244
Authors: Jordi Suñé
Categories: Technology & Engineering
Type: BOOK - Published: 2020-04-09 - Publisher: MDPI

DOWNLOAD EBOOK

Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired
Frontiers in Memristive Materials for Neuromorphic Processing Applications
Language: en
Pages:
Authors: National Academies of Sciences Engineering and Medicine
Categories:
Type: BOOK - Published: 2021-09-22 - Publisher:

DOWNLOAD EBOOK

Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short ter