Results 61 to 70 of about 1,316 (216)
Advanced Science, EarlyView.ABSTRACT The dynamic interplay between bacteria and host cancer cells plays a critical role in tumor microenvironment modulation, bacterial pathogenesis, and potential oncotherapy applications. However, traditional methods often fail to capture transient or spatially restricted molecular interactions at the bacteria‐cancer cell interface.
Amin Sun +6 more
wiley +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, EarlyView.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Efficient electro-magnetic analysis of a GPU bitsliced AES implementation
Cybersecurity, 2020 The advent of CUDA-enabled GPU makes it possible to provide cloud applications with high-performance data security services. Unfortunately, recent studies have shown that GPU-based applications are also susceptible to side-channel attacks.
Yiwen Gao, Yongbin Zhou, Wei Cheng
doaj +1 more source
A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation
Advanced Science, EarlyView.A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu +6 more
wiley +1 more source
Pipeline Parallelism With Elastic Averaging
IEEE AccessTo accelerate the training speed of massive DNN models on large-scale datasets, distributed training techniques, including data parallelism and model parallelism, have been extensively studied.
Bongwon Jang, In-Chul Yoo, Dongsuk Yook
doaj +1 more source
Strategies and Principles of Distributed Machine Learning on Big Data
Engineering, 2016 The rise of big data has led to new demands for machine learning (ML) systems to learn complex models, with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics (such as ...
Eric P. Xing +3 more
doaj +1 more source
To parallelize or not to parallelize, control and data flow issue
CoRR, 2013 New trends towards multiple core processors imply using standard programming models to develop efficient, reliable and portable programs for distributed memory multiprocessors and workstation PC clusters. Message passing using MPI is widely used to write efficient, reliable and portable applications.
openaire +3 more sources
Hierarchical Multi‐Mode Computing in Interlayer‐Coupled 3D RRAM Crossbar Arrays
Advanced Science, EarlyView.2‐deck RRAM crossbar array provides a versatile hardware platform for multifunctional in‐memory computing. Stacked, series, and entropy node configurations enable multi‐layer conductance modulation, logic‐in‐memory operation, genetic learning, and reconfigurable physical unclonable functions.
Seungman Park +7 more
wiley +1 more source
A Modular Variable Stiffness Co‐Bot System Achieving Tasks Flexibility and Contact Compliance
Advanced Science, EarlyView.Bio‐inspired antagonistic compliance enables a modular rigid‐soft co‐bot platform with variable stiffness for safe human‐robot interaction (HRI): Standardized interfaces support application‐driven configurations with tailored DoFs, workspace, and stiffness range, making the system suited to HRI and low‐volume automation.
Wenlong Gaozhang +6 more
wiley +1 more source
Quantum data parallelism in quantum neural networks
Physical Review ResearchQuantum neural networks hold promise for achieving lower generalization error bounds and enhanced computational efficiency in processing certain datasets.
Sixuan Wu, Yue Zhang, Jian Li
doaj +1 more source