Results 101 to 110 of about 66,359 (302)

Offloading Post-Quantum Cryptography to Data Processing Units: A Performance Analysis of HQC Key Encapsulation

IEEE Access
The transition to post-quantum cryptography introduces substantial computational overhead that can degrade application performance in datacenter environments, particularly under system contention when there is competition to access shared computational ...
Joseph Meyer, Elad Mentovich, Idelfonso Tafur Monroy, Juan Jose Vegas Olmos   +3 more
doaj   +1 more source

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Advanced Science, EarlyView.
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He, Wenyi Jing, Le Zhang, Qican Zhang, Tingdong Kou, Xin He, Yan Qiu, Yang Lu, Jian Cui, Yongfu Wen, Zhenrong Zheng, Hongying Zhang, Dayong Jin, Junfei Shen   +13 more
wiley   +1 more source

Germanium-on-Silicon Waveguide-Integrated Photodiode with Dual Optical Inputs for Datacenter Applications

Micromachines
As the exponential growth in advanced compute workloads drives intra-datacenter interconnects to ever increasing bitrates, optical networking equipment has risen to the challenge by shifting from NRZ signaling to bandwidth efficient modulation methods ...
Itamar-Mano Priel, Shai Cohen, Liron Gantz, Yael Nemirovsky   +3 more
doaj   +1 more source

Facial Expression Recognition With Deep Learning Approach For Detecting Stress

, 2019
A workplace stress detection system using face images require a low-cost installation and does not interfere with the movements of workers, thus the system will be the better promising approach than physiological data based approach using wearable ...
Sung-Min Park, Wonju Seo, Seunghyun Lee
core  

Arterial Blood‐Mediated Deep‐Tissue Photoacoustic Oximetry

Advanced Science, EarlyView.
The arterial prior method (APM+) for photoacoustic oximetry is introduced, which leverages the high arterial blood oxygenation to calibrate the fluence at the artery and estimate the oxygenation of the surrounding tissue, thus circumventing the spectral coloring problem. APM+’s accuracy and consistency are shown in a series of phantom and in vivo human
Karteekeya Sastry, Junhao Zhu, Joshua Olick‐Gibson, Li Lin, Lei Li, Jigmi Basumatary, Yang Zhang, Lihong V. Wang   +7 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

Joint Training on AMD and NVIDIA GPUs

CoRR
As large language models continue to scale, training demands on compute and system capacity grow rapidly, making single-vendor homogeneous clusters insufficient. This paper presents a technical solution for heterogeneous mixed training in AMD-NVIDIA environments.
Jon Hu, Thomas Jia, Jing Zhu, Zhendong Yu   +3 more
openaire   +2 more sources

Development of prototype based on NVIDIA DIGITS for PyTorch

, 2018
Deep learning frameworks such as Caffe and Tensorflow has significantly eased the process of creating deep neural networks. However, these frameworks do not come with a built in visual interface which can be difficult to use.
Chen, Benedict Si-Yuan
core  

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks

Machine Learning: Science and Technology
We present an efficient tensor-network-based approach for simulating large-scale quantum circuits exemplified by quantum support vector machines (QSVMs).
Kuan-Cheng Chen, Tai-Yue Li, Yun-Yuan Wang, Simon See, Chun-Chieh Wang, Robert Wille, Nan-Yow Chen, An-Cheng Yang, Chun-Yu Lin   +8 more
doaj   +1 more source