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The promising field of organic electronics has ushered in a new era of biosensing technology, offering a promising frontier for applications in both medical diagnostics and environmental monitoring. This review paper provides a…

Applied Physics · Physics 2023-11-08 Jyoti Bala Kaushal , Pratima Raut , Sanjay Kumar

Beyond conventional organic thin-film transistors, this thesis explores possible paths for the fourth wave of organic electronics. In this context, mixed ionic-electronic conductors and organic electro-chemical transistors (OECTs) are…

Emerging Technologies · Computer Science 2021-11-19 Hans Kleemann

Neuromorphic computing approaches become increasingly important as we address future needs for efficiently processing massive amounts of data. The unique attributes of quantum materials can help address these needs by enabling new…

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, atomic switches, etc have shown…

Emerging Technologies · Computer Science 2020-09-24 Natesh Ganesh

With traditional computing technologies reaching their limit, a new field has emerged seeking to follow the example of the human brain into a new era: neuromorphic computing. This paper provides an introduction to neuromorphic computing,…

Neural and Evolutionary Computing · Computer Science 2025-10-20 Benedikt Jung , Maximilian Kalcher , Merlin Marinova , Piper Powell , Esma Sakalli

Neuromorphic computing takes inspiration from the brain to create energy efficient hardware for information processing, capable of highly sophisticated tasks. In this article, we make the case that building this new hardware necessitates…

Emerging Technologies · Computer Science 2020-03-26 Danijela Markovic , Alice Mizrahi , Damien Querlioz , Julie Grollier

The field of neuromorphic computing has been rapidly evolving in recent years, with an increasing focus on hardware design and reliability. This special session paper provides an overview of the recent developments in neuromorphic…

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture. This biologically inspired approach has created highly connected synthetic…

Neural and Evolutionary Computing · Computer Science 2017-05-22 Catherine D. Schuman , Thomas E. Potok , Robert M. Patton , J. Douglas Birdwell , Mark E. Dean , Garrett S. Rose , James S. Plank

Neuromorphic computing aspires to overcome the intrinsic inefficiencies of von Neumann architectures by co-locating memory and computation in physical devices that emulate biological neurons and synapses. Memristive materials stand at the…

Mesoscale and Nanoscale Physics · Physics 2026-03-06 Salvador Cardona-Serra

The growing need for intelligent, adaptive, and energy-efficient autonomous systems across fields such as robotics, mobile agents (e.g., UAVs), and self-driving vehicles is driving interest in neuromorphic computing. By drawing inspiration…

Machine Learning · Computer Science 2025-07-25 Alberto Marchisio , Muhammad Shafique

The human brain has immense learning capabilities at extreme energy efficiencies and scale that no artificial system has been able to match. For decades, reverse engineering the brain has been one of the top priorities of science and…

Neuromorphic engineering is essentially the development of artificial systems, such as electronic analog circuits that employ information representations found in biological nervous systems. Despite being faster and more accurate than the…

Neural and Evolutionary Computing · Computer Science 2022-09-07 Arvind Subramaniam

Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biological organization of neural systems to develop novel technology for computing, sensing, and actuating. The unique properties of such systems…

Systems and Control · Electrical Eng. & Systems 2022-01-26 Luka Ribar , Rodolphe Sepulchre

The development of artificial intelligence (AI) and robotics are both based on the tenet of "science and technology are people-oriented", and both need to achieve efficient communication with the human brain. Based on multi-disciplinary…

Neurons and Cognition · Quantitative Biology 2024-06-27 Shengjie Zheng , Ling Liu , Junjie Yang , Jianwei Zhang , Tao Su , Bin Yue , Xiaojian Li

In this article, we attempt to make a conceptual bridge between the research in biology, pre-biotic chemistry, biomimetics, and the tools used in organic bioelectronics in terms of materials and devices. The goal is discussing how materials…

Fluid Dynamics · Physics 2025-04-16 Giuseppe De Giorgio , Pasquale D'Angelo , Giuseppe Tarabella , Saksham Sharma

Organic electronics is very promising due to the flexibility, modifiability as well as variety of the available organic molecules. Efforts are going on to use organic materials for the realization of memory devices. In this regard resistive…

Applied Physics · Physics 2020-05-05 Bapi Dey , Surajit Sarkar , Hritinava Banik , Syed Arshad Hussain

Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networks, power consumption, processing speed, and system…

Emerging Technologies · Computer Science 2024-02-08 Erika Covi , Elisa Donati , Hadi Heidari , David Kappel , Xiangpeng Liang , Melika Payvand , Wei Wang

The vision of Organic Computing addresses challenges that arise in the design of future information systems that are comprised of numerous, heterogeneous, resource-constrained and error-prone components or devices. Here, the notion organic…

Networking and Internet Architecture · Computer Science 2012-04-26 Ingo Scholtes , Claudio Juan Tessone

As humans advance toward a higher level of artificial intelligence, it is always at the cost of escalating computational resource consumption, which requires developing novel solutions to meet the exponential growth of AI computing demand.…

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