Results 241 to 250 of about 4,995,169 (271)

A new computing rule for neuromorphic engineering

2015 15th Non-Volatile Memory Technology Symposium (NVMTS), 2015
Neuromorphic engineering has helped to build a brain-inspired intelligent paradigm based on VLSI, and to promise a new application space on smart devices. Throughout most of the state-of-the-art neuromorphic systems, including analog, digital, the mixed one, as well as some other memristor-based systems, the dominated computing rule in neuron is simply
Lei Deng 0003, Dong Wang, Guoqi Li, Ziyang Zhang, Jing Pei   +4 more
openaire   +2 more sources

SpiNNaker: Distributed Computer Engineering for Neuromorphics

2011
SpiNNaker is a biologically-inspired massively-parallel computer architecture optimized specifically for modeling large-scale systems of spiking neurons in biological real time. The biological inspiration is manifest in the lightweight inter-processor communications architecture, which enables a “spike” generated by a neuron modeled
David R. Lester, Steve B. Furber
openaire   +3 more sources

“The Photochromism in Neuromorphic Engineering.”

2020
Our societies are profoundly affected by the development of Artificial Intelligence (AI). In fact, AI is applied in many fields: in science, medicine, security, economy, and well-being [1]. There are two strategies to develop AI. One is by writing human-like intelligent programs running in computers or special-purpose hardware.
Pier Luigi Gentili, Beatrice Bartolomei, B. Mark Heron, Jean-Claude Micheau.   +3 more
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Reviews and Perspectives in Neuromorphic Engineering: Novel Neuromorphic Computing Approaches

Frontiers Research Topics
exaly   +2 more sources

Rebooting Neuromorphic Design - A Complexity Engineering Approach

2020 International Conference on Rebooting Computing (ICRC), 2020
As the compute demands for machine learning and artificial intelligence applications continue to grow, neuromorphic hardware has been touted as a potential solution. New emerging devices like memristors, spintronics, atomic switches, etc have shown tremendous potential to replace CMOS-based circuits but have been hindered by multiple challenges with ...
openaire   +2 more sources

Molecularly Engineered Memristors for Reconfigurable Neuromorphic Functionalities

Advanced Materials
Abstract For half a century, nanoelectronics has sought to tailor electrical properties through molecular design for electrical circuit components such as switches and memories, yet predictive models remain elusive.
Pallavi Gaur, Bidyabhusan Kundu, Pradip Ghosh, Shayon Bhattacharya, Lohit T, Harivignesh S, Santi P. Rath, Damien Thompson, Sreebrata Goswami, Sreetosh Goswami   +9 more
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Revolutionizing Civil Engineering With Neuromorphic Computing

Digital innovations in architecture, engineering and construction
Ali Akbar Firoozi
exaly   +2 more sources

Reservoir Computing With Charge-Trap Memory Based on a MoS2 Channel for Neuromorphic Engineering

Advanced Materials, 2023
Christian Monzio Compagnoni, Piergiulio Mannocci, Daniele Ielmini   +2 more
exaly  

Security as an Important Ingredient in Neuromorphic Engineering

2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022
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Holonic Quantum–Neuromorphic Project Engineering

The transition from Industry 4.0 and Industry 5.0 to Industry 6.0 is driving the change of industrial systems towards increasingly complex socio-technical ecosystems, where physical systems, digital systems, artificial intelligence and people work together.
María Jesús Ávila-Gutiérrez, Francisco Aguayo-González, Francisco Ramón Lara-Raya   +2 more
openaire   +1 more source