The promise of spintronics for unconventional computing

G Finocchio, M Di Ventra, KY Camsari… - Journal of Magnetism …, 2021 - Elsevier
Novel computational paradigms may provide the blueprint to help solving the time and
energy limitations that we face with our modern computers, and provide solutions to complex …

Soft eSkin: distributed touch sensing with harmonized energy and computing

M Soni, R Dahiya - … Transactions of the Royal Society A, 2020 - royalsocietypublishing.org
Inspired by biology, significant advances have been made in the field of electronic skin
(eSkin) or tactile skin. Many of these advances have come through mimicking the …

Deep learning for electromyographic hand gesture signal classification using transfer learning

U Côté-Allard, CL Fall, A Drouin… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In recent years, deep learning algorithms have become increasingly more prominent for
their unparalleled ability to automatically learn discriminant features from large amounts of …

Low‐power computing with neuromorphic engineering

D Liu, H Yu, Y Chai - Advanced Intelligent Systems, 2021 - Wiley Online Library
The increasing power consumption in the existing computation architecture presents grand
challenges for the performance and reliability of very‐large‐scale integrated circuits …

Advances in neuromorphic devices for the hardware implementation of neuromorphic computing systems for future artificial intelligence applications: A critical review

J Ajayan, D Nirmal, BKJ IV, S Sreejith - Microelectronics Journal, 2022 - Elsevier
Neuromorphic Computing (NC) is considered as the next generation of artificial intelligence
(AI). AI can transform the way people live and work, however, the current Neumann …

Piezotronic synapse based on a single GaN microwire for artificial sensory systems

Q Hua, X Cui, H Liu, C Pan, W Hu, ZL Wang - Nano Letters, 2020 - ACS Publications
Tactile information is efficiently captured and processed through a complex sensory system
combined with mechanoreceptors, neurons, and synapses in human skin. Synapses are …

[图书][B] Emerging low-power semiconductor devices: Applications for future technology nodes

S Tayal, AK Upadhyay, D Kumar, SB Rahi - 2022 - books.google.com
This book gives insight into the emerging semiconductor devices from their applications in
electronic circuits. It discusses the challenges in the field of engineering and applications of …

Sparse neuromorphic computing based on spin-torque diodes

J Cai, L Zhang, B Fang, W Lv, B Zhang… - Applied Physics …, 2019 - pubs.aip.org
We report on the sparse neuromorphic computing based on spin-torque diodes (STDs). The
rectification characteristics of STDs have been investigated in the absence and presence of …

Lead-free halide perovskites, beyond solar cells and LEDs

C Pareja-Rivera, D Morett… - Journal of Physics …, 2021 - iopscience.iop.org
In the last decade, halide perovskites have seen tremendous advancements, primarily in the
field of solar cells and light-emitting diodes (LEDs). However, their remarkable optical and …

Optoelectronic synapses using vertically aligned graphene/diamond heterojunctions

Y Mizuno, Y Ito, K Ueda - Carbon, 2021 - Elsevier
The present work demonstrates that vertically aligned graphene (VG)/diamond
heterojunctions can function as optoelectronically-controllable synapses, which are …