Results 51 to 60 of about 876,280 (281)
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Community assembly processes are complex and understanding them represents a challenge in microbial ecology. Here, we used Lascaux Cave as a stable, confined environment to quantify the importance of stochastic vs deterministic processes during microbial
Zélia Bontemps +2 more
doaj +1 more source
Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays
This paper investigates the mean square exponential stability problem of a class of complex-valued neural networks with stochastic disturbance and mixed delays including both time-varying delays and continuously distributed delays.
Xiaohui Xu, Jibin Yang, Yanhai Xu
doaj +1 more source
Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption
Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy +7 more
wiley +1 more source
On the Stochastic Dynamics of a Social Epidemics Model
Alcohol abuse is a major social problem, which has caused a lot of damages or hidden dangers to the individual and the society. In this paper, with random factors of alcoholism considered in mortality rate of compartment populations, we formulate a ...
Xun-Yang Wang +2 more
doaj +1 more source
This paper studies consensus disturbance rejection problem of discrete-time multi-agent systems with communication noises. The involved agents are modeled by linear dynamics with disturbance, and are assumed to receive information corrupted by additive ...
Yuanyuan Jia, Jingjing Wang, Jiaman Bo
doaj +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Diversity is often implied to have a positive effect on the functional stability of ecological communities. However, its relationship with stochastic and deterministic assembly mechanisms remains largely unknown, particularly under fluctuating ...
Ezequiel Santillan, Stefan Wuertz
doaj +1 more source
BACKGROUND: Disturbance was a performance at Koppenplatz, Mitte, Berlin on 17 September 2017, directed and scripted by Paul Carter. Involving 25 participants over 30 minutes, it responded to Karl Biedermann and Eva Butzmann's 1989/1996 Kristallnacht ...
Paul Carter (18030292)
core +1 more source
HfxZr1−xO2${\rm Hf}_x{\rm Zr}_{1-x}{\rm O}_2$ offers CMOS‐compatible nanoscale ferroelectricity yet suffers from a high Ec${\rm E}_c$ demanding large operating voltages. A unified phase‐field framework spanning AFE/FE/DE phases shows how FE grains soften neighboring AFE grains over λ$\lambda$ ≈$\approx$ 22–37 nm.
P. Pankaj +4 more
wiley +1 more source

