Results 211 to 220 of about 189,987 (323)
Local clustering decoder as a fast and adaptive hardware decoder for the surface code. [PDF]
Ziad AB +6 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
A novel qutrit representation for RGB digital images. [PDF]
Rofail M, Montaser R, Younes A.
europepmc +1 more source
Logic of local inference for contextuality in quantum physics and beyond
Kohei Kishida
openalex +1 more source
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
From pixels to camera: scaling superconducting nanowire single-photon detectors for imaging at the quantum-limit. [PDF]
Gao J +5 more
europepmc +1 more source
Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization [PDF]
Ji-Hoon Kang +4 more
openalex +1 more source
Microfluidic Mixing with the Dynamic Control of Magnetic Actuation
Schematic illustration and flow field visualization of magnetically actuated L‐shaped microrobots displaying cooperative vortex generation for enhanced microscale mixing. The left side shows the electromagnetic actuation setup, which enables programmable control of rotational direction and frequency.
Prashant Kishor Sharma +2 more
wiley +1 more source
On the potential of microtubules for scalable quantum computation. [PDF]
Mavromatos NE, Mershin A, Nanopoulos DV.
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source

