Results 91 to 100 of about 78,967 (252)

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

Advanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

AMD (ATI) CrossFire and NVIDIA SLI technologies [PDF]

, 2005
У статті розглянуто особливості технологій AMD (ATI) CrossFire і NVIDIA ...
Романюк, О. Н., Романюк, А. Н., Шилан, О. О., Romanyuk, O. N., Shilan, O. O.   +4 more
core  

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

3GPP Evolution from 5G to 6G: A 10-Year Retrospective

Telecom
The 3rd Generation Partnership Project (3GPP) evolution of mobile communication technologies from 5G to 6G has been a transformative journey spanning a decade, shaped by six releases from Release 15 to Release 20. This article provides a retrospective of
Xingqin Lin
doaj   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

Advanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho, Yein Chung, Yoonjeong Choi, Baekdong Cha, Jayeon Song, Nuri Oh, Ala Jo, Thomas S. C. Ng, Hyunho Kim, Hyun‐Kyung Woo, Chang Hyun Kim, Cesar M. Castro, Miles A. Miller, Hakho Lee   +13 more
wiley   +1 more source

NVIDIA Automated Testing

, 2012
This project conducted at NVIDIA is aimed to research open-source testing frameworks, and develop a software adapter that coordinates between NVIDIA’s test infrastructure and a given framework.
Ma, Xiaoli, Fields, Jackson Ganister, Brown, Richard Pearce   +2 more
core   +2 more sources

Spectral Efficiency Considerations in 6G Networks

IEEE Open Journal of the Communications Society
As wireless connectivity continues to evolve toward 6G, the demand to efficiently deliver higher throughput, lower latency, and improved reliability increases.
Joseph Boccuzzi
doaj   +1 more source

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

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