Results 81 to 90 of about 19,662,716 (202)

Self-revival iontronic neuromorphic devices for robust human-machine interaction

open access: yesnpj Flexible Electronics
Flexible neuromorphic devices exhibit substantial promise for applications in next-generation intelligent human-machine interaction systems. While, the primary hurdle for flexible neuromorphic devices lies in functional impairment arising from mechanical
Yanfei Li   +10 more
doaj   +1 more source

A Neuromorphic VLSI System for Modeling Spike-Based Cooperative Competitive Neural Networks

open access: yes, 2006
Chicca E. A Neuromorphic VLSI System for Modeling Spike-Based Cooperative Competitive Neural Networks.
Chicca, Elisabetta   +1 more
core   +1 more source

Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors

open access: yes, 2022
The great promises of neuromorphic sensing and processing for robotics have led researchers and engineers to investigate novel models for robust and reliable control of autonomous robots (navigation, obstacle detection and avoidance, etc.), especially ...
Dupeyroux, J.J.G. (author)   +2 more
core   +1 more source

Neuromorphic Systems

open access: yes, 2016
This article reviews a wide spectrum of state‐of‐the‐art neuromorphic systems, ranging from its principles, sensory elements, and processing aspects to large‐scale example systems and commercial outlook. It does not aim to provide a full coverage of present knowledge, but simply provide a comprehensive summary with many pointers to further readings.
C. Bartolozzi   +13 more
openaire   +2 more sources

Odour Localization in Neuromorphic Systems

open access: yes2024 IEEE International Symposium on Circuits and Systems (ISCAS)
Odour source localization is crucial in life-saving scenarios like pinpointing gas leaks, detecting explosives, searching for earthquake survivors, or locating fires at their origin. The turbulent character of natural environments makes this task very challenging.
Thorben Schoepe   +6 more
openaire   +2 more sources

Digital Computing Continuum Abstraction for Neuromorphic Systems

open access: yes
The rising complexity and data generation in cyber-physical systems and the Internet of Things require a shift towards an edge-to-cloud computing continuum ecosystem with enhanced artificial intelligence (AI) capabilities.
Sandin, Fredrik,   +3 more
core   +1 more source

Intermittent Neuromorphic Wearable Systems

open access: yes2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Wearable medical devices have become a focal point of research and development, particularly for their use in long-term monitoring of patients with chronic diseases. These devices offer significant advantages, including early detection of complications, reduced hospital readmission rates, and overall lower healthcare costs by enabling a more proactive ...
Qazi, Junaid Ahmed   +4 more
openaire   +2 more sources

Neuromorphic Control of Robotic Systems with Numerical Simulations

open access: yesRobotics
In this paper, we considered potential benefits of the neuromorphic control technique for solving specific challenges in robotic control. Developing a neuromorphic control system for a robot involves simulating the architecture and dynamics of biological
Abhaya Pal Singh, Antonio Candea Leite
doaj   +1 more source

Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions

open access: yesAdvanced Electronic Materials
Modern applications demand immense data processing and computational power, yet conventional architectures, constrained by the Von Neumann bottleneck and data presentation, struggle to meet these requirements.
Nada AbuHamra   +4 more
doaj   +1 more source

Neuromorphic Programming:Emerging Directions for Brain-Inspired Hardware [PDF]

open access: yes
The value of brain-inspired neuromorphic computers critically depends on our ability to program them for relevant tasks. Currently, neuromorphic hardware often relies on machine learning methods adapted from deep learning. However, neuromorphic computers
Abreu, Steven; id_orcid   +3 more
core   +1 more source

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