Results 101 to 110 of about 186,522 (338)
Massive parallelism in the future of science [PDF]
Massive parallelism appears in three domains of action of concern to scientists, where it produces collective action that is not possible from any individual agent's behavior.
Denning, Peter J.
core +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley +1 more source
Model Parallelism With Subnetwork Data Parallelism
Pre-training large neural networks at scale imposes heavy memory demands on accelerators and often requires costly communication. We introduce Subnetwork Data Parallelism (SDP), a distributed training framework that partitions a model into structured subnetworks trained across workers without exchanging activations.
Singh, Vaibhav +3 more
openaire +2 more sources
Shape‐Memory Alloy Torsion Strips for Soft Robotic Manipulation and Morphing
In this research, a dedicated configuration of SMA strip is proposed for soft robotic manipulation and morphing. This configuration has broad application prospects and demonstrates remarkable advantages in soft body joint operations. Mimicking invertebrates, soft robots tend to control each of their body joints to achieve the desired shape changes and ...
Changchun Wu +6 more
wiley +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
Data-Parallel Web Crawling Models [PDF]
The need to quickly locate, gather, and store the vast amount of material in the Web necessitates parallel computing. In this paper, we propose two models, based on multi-constraint graph-partitioning, for efficient data-parallel Web crawling. The models aim to balance the amount of data downloaded and stored by each processor as well as balancing the ...
Cambazoglu, B.B., Turk, A., Aykanat, C.
openaire +2 more sources
Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley +1 more source
A parallel and adaptive multigrid solver for the solutions of the optimal control of geometric evolution laws in two and three dimensions [PDF]
We present a problem concerning the optimal control of geometric evolution laws. This is a minimisation problem that aims to find a control η which minimises the objective functional J subject to some imposed constraints.
Madzvamuse, A +3 more
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