Results 171 to 180 of about 428,560 (344)

Ternary Content‐Addressable Memory Using One Capacitor and One Nanoelectromechanical Memory Switch for Data‐Intensive Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
A charge‐domain ternary content‐addressable memory using one capacitor one nanoelectromechanical memory switch (1C‐1N TCAM) is proposed for energy‐efficient, high‐reliability computations. Integrated with the back‐end‐of‐line process, the 1C‐1N TCAM leverages the air gap capacitance to achieve a high capacitance ratio and ternary functionality.
Jin Wook Lee   +5 more
wiley   +1 more source

Ant Colony Optimization based algorithm to determine the optimum route for overhead power transmission lines

open access: yesAin Shams Engineering Journal, 2023
A. Ebid   +3 more
semanticscholar   +1 more source

Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience

open access: yesAdvanced Intelligent Systems, EarlyView.
An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis   +2 more
wiley   +1 more source

Non-contact temperature measurement method for dynamic rating of overhead power lines.

open access: yes, 2020
R. Lecuna   +6 more
semanticscholar   +1 more source

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen   +4 more
wiley   +1 more source

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang   +4 more
wiley   +1 more source

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

open access: yesAdvanced Intelligent Systems, EarlyView.
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong   +3 more
wiley   +1 more source

Design Challenges to Expand the Functionality of Drones: Deformable Rotorcraft and Nature‐Inspired Flapping Drones

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically analyzes deformable drones, including extendable, foldable, and tilting configurations, along with nature‐inspired flapping rotorcraft. By classifying deformation principles and structural mechanisms, design trade‐offs, functional capabilities, and future development potential are highlighted.
Ju‐Hee Lee   +9 more
wiley   +1 more source

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