Results 41 to 50 of about 22,264 (276)

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

open access: yesAdvanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp   +7 more
wiley   +1 more source

Memory and information processing in neuromorphic systems

open access: yes, 2015
A striking difference between brain-inspired neuromorphic processors and current von Neumann processors architectures is the way in which memory and processing is organized.
Indiveri, Giacomo, Liu, Shih-Chii
core   +1 more source

Neuromorphic vision processing system [PDF]

open access: yesElectronics Letters, 1997
A neuromorphic vision processing system which consists of a 32 × 32 CMOS imager and an edge feature extractor is implemented to mimic the early vision processing in vertebrates. The CMOS imager captures the image and performs edge processing, and the feature extractor can extract edges with different orientations. Both circuits have been fabricated and
null Lin, null Chen, null Chiueh
openaire   +1 more source

Reconfigurable Three‐Dimensional Superconducting Nanoarchitectures

open access: yesAdvanced Functional Materials, EarlyView.
3D superconducting nanostructures offer new possibilities for emergent physical phenomena. However, fabricating complex geometries remains challenging. Here 3D nanoprinting of complex 3D superconducting nanoarchitectures is established. As well as propagating superconducting vortices in 3D, anisotropic superconducting properties with geometric ...
Elina Zhakina   +11 more
wiley   +1 more source

Neuromorphic Computing for Smart Agriculture

open access: yesAgriculture
Neuromorphic computing has received more and more attention recently since it can process information and interact with the world like the human brain.
Shize Lu, Xinqing Xiao
doaj   +1 more source

Integrated Low-Voltage Compliance and Wide-Dynamic Stimulator Design for Neural Implantable Devices

open access: yesSensors, 2023
In this study, a pulse frequency modulation (PFM)-based stimulator is proposed for use in biomedical implantable devices. Conventionally, functional electrical stimulation (FES) techniques have been used to reinforce damaged nerves, such as retina tissue
Yeonji Oh, Jonggi Hong, Jungsuk Kim
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System

open access: yesJournal of Advanced Transportation, 2018
Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefully sending entire images at fixed frame rate, neuromorphic vision sensor only transmits the local
Guang Chen   +12 more
doaj   +1 more source

Multilayer Crossbar Array of Amorphous Metal-Oxide Semiconductor Thin Films for Neuromorphic Systems

open access: yesIEEE Journal of the Electron Devices Society, 2022
A multilayer crossbar array has been developed using amorphous metal-oxide semiconductor (AOS) thin films and implemented into a neuromorphic system.
Etsuko Iwagi   +4 more
doaj   +1 more source

PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network

open access: yes, 2020
We present PyCARL, a PyNN-based common Python programming interface for hardware-software co-simulation of spiking neural network (SNN). Through PyCARL, we make the following two key contributions.
Adiraju, Prathyusha   +6 more
core   +1 more source

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