Results 131 to 140 of about 347,135 (294)
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
A pathogen‐centric antibody‐antibiotic conjugate (AZO‐AAC) releases antibiotics via bacterial azoreductase, independent of host‐lysosomal function. This mechanism achieves nanomolar eradication of both planktonic and intracellular methicillin‐resistant Staphylococcus aureus (MRSA).
Qi Cheng +13 more
wiley +1 more source
RRAM Variability Harvesting for CIM‐Integrated TRNG
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende +4 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 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
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
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
Capacitive Pixelated CMOS Electronic Nose
A 1024‐pixel CMOS capacitive E‐nose with inkjet‐printed MOFs and polymer layers yields gas‐specific capacitance fingerprints under humid conditions, discriminating toluene from 2‐butanone at low power. ABSTRACT Although some of the human senses can nowadays be replaced by low‐cost electronic sensors such as microphones and image sensors, a compact low ...
M. A. Basyooni‐M. Kabatas +7 more
wiley +1 more source
Impact of deep learning image reconstruction on ADC quantification and histogram metrics: a phantom study. [PDF]
Marzi S +8 more
europepmc +1 more source

