Results 61 to 70 of about 6,357 (228)
Ultrathin Al‐substituted YIG films with perpendicular magnetic anisotropy are sputter‐grown directly on Si/SiOx using an ultrathin AlOx buffer layer. Al diffusion reduces the saturation magnetization and stabilizes PMA via magnetoelastic effects. Pt/Al:YIG bilayers exhibit strong spin Hall magnetoresistance and efficient spin–orbit torque switching ...
Matteo Fettizio +4 more
wiley +1 more source
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
Ein 10 bit 10MS/s Low-Power AD-Converter in 0.11mm2 [PDF]
Ein 10 bit 10MS/s Analog-Digital- Wandler mit niedriger Leistungaufnahme von 8,4mW wurde implementiert. Der geringe Flächenbedarf von 0,11mm2 macht diesen Wandler besonders geeignet f¨ur Multikanalanwendungen.
D. Muthers, R. Tielert
doaj
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Design of Three Bit Analog-To-Digital Converter (ADC) Using Spatial Wavefunction Switched (SWS) FETS [PDF]
The spatial wave-function switched field effect transistor (SWSFET) has two or three low band-gap quantum well channels inside the substrate of the semiconductor. Applied voltage at the gate region of the SWSFET, switches the charge carrier concentration in different channels from source to drain region.
openaire +2 more sources
Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza +3 more
wiley +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning
This paper presents a high-precision biomedical sensor system with a novel analog-frontend (AFE) IC and error correction by machine learning. The AFE IC embeds an analog-to-digital converter (ADC) architecture called successive stochastic approximation ...
Yusaku Hirai +6 more
doaj +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
A 13.44-Bit Low-Power SAR ADC for Brain–Computer Interface Applications
This paper presents a successive approximation register analog-to-digital converter (SAR ADC) specifically optimized for brain–computer interface (BCI) applications.
Hongyuan Yang, Jiahao Cheong, Cheng Liu
doaj +1 more source

