Results 61 to 70 of about 6,733 (243)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Material to system-level benchmarking of CMOS-integrated RRAM with ultra-fast switching for low power on-chip learning

Scientific Reports, 2023
Analog hardware-based training provides a promising solution to developing state-of-the-art power-hungry artificial intelligence models. Non-volatile memory hardware such as resistive random access memory (RRAM) has the potential to provide a low power ...
Minhaz Abedin, Nanbo Gong, Karsten Beckmann, Maximilian Liehr, Iqbal Saraf, Oscar Van der Straten, Takashi Ando, Nathaniel Cady   +7 more
doaj   +1 more source

Coexisting Volatile and Nonvolatile Switching in 3D ALD-IGZO Vertical RRAM for Fully Hardware-Based Wide Reservoir Computing. [PDF]

Adv Sci (Weinh)
A conformal ALD‐IGZO vertical RRAM integrates volatile and nonvolatile switching within a compact 2F architecture. Before forming, tunable volatile dynamics provide fading‐memory reservoir states, while after forming, stable multilevel conductance modulation enables hardware readout.
Lee S, Park J, Kim N, Ju S, Jang SC, Kim HS, Kim S.   +6 more
europepmc   +2 more sources

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

A novel peripheral circuit for RRAM-based LUT

, 2012
Resistive random access memory (RRAM) is a promising candidate to substitute static random access memory (SRAM) in lookup table (LUT) design for its high density and non-volatility.
Wei Zhang, Yi-Chung Chen, Zhang, Wei, Hai Li, Chen, Yi Chung, Li, Hai, Chen, Yi-Chung   +6 more
core   +1 more source

Bridging Biosensing and Hardware‐Level Data Security With a Conjugated Radical Polymer

Advanced Materials, EarlyView.
A conjugated radical polymer provides two complementary functions within a common material platform: sensitive dopamine biosensing and device‐specific stochastic electrical responses for security. The work demonstrates a materials‐based approach for combining bioelectronic signal acquisition with hardware‐level authentication while maintaining the ...
Hoyeon Lee, Jaehyoung Ko, Dinh Cung Tien Nguyen, Yeong Kwon Kim, Daeun Kim, Soo Jin Cho, Sung Gap Im, Byung Chul Jang, Byung Joon Moon, Yongho Joo   +9 more
wiley   +1 more source

Bipolar Switching Properties of the Transparent Indium Tin Oxide Thin Film Resistance Random Access Memories

Nanomaterials, 2023
In this study, the bipolar switching properties and electrical conduction behaviors of the ITO thin films RRAM devices were investigated. For the transparent RRAM devices structure, indium tin oxide thin films were deposited by using the RF magnetron ...
Kai-Huang Chen, Chien-Min Cheng, Mei-Li Chen, Yi-Yun Pan   +3 more
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

A Study of the Variability in Contact Resistive Random Access Memory by Stochastic Vacancy Model

Nanoscale Research Letters, 2018
Variability in resistive random access memory cell has been one of the critical challenges for the development of high-density RRAM arrays. While the sources of variability during resistive switching vary for different transition metal oxide films, the ...
Yun-Feng Kao, Wei Cheng Zhuang, Chrong-Jung Lin, Ya-Chin King   +3 more
doaj   +1 more source

RRAM based neuromorphic algorithms

CoRR, 2019
This submission is a report on RRAM based neuromorphic algorithms. This report basically gives an overview of the algorithms implemented on neuromorphic hardware with crossbar array of RRAM synapses. This report mainly talks about the work on deep neural network to spiking neural network conversion and its significance.
openaire   +2 more sources