Results 201 to 210 of about 353,149 (264)
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
Integrated Authentication Server Design for Efficient Kerberos-Blockchain VANET Authentication. [PDF]
Rahayu M, Hossain MB, Huda S, Nogami Y.
europepmc +1 more source
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
Optimized energy efficient clustering in WSNs through modified zebra optimization. [PDF]
Lan Y +5 more
europepmc +1 more source
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
A Structurally Optimized and Efficient Lightweight Object Detection Model for Autonomous Driving. [PDF]
Li M +6 more
europepmc +1 more source
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
Hybrid approach for evaluating dynamic scheduling mechanisms in IoT cognitive sensors for enhanced network performance. [PDF]
Khan MN +4 more
europepmc +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
An optimized YOLOv8n based model for real time defect detection in taro strip production. [PDF]
Luo K +7 more
europepmc +1 more source

