Knowledge-Guided Symbolic Regression for Interpretable Camera Calibration. [PDF]
Pimentel de Figueiredo R.
europepmc +1 more source
Is sex comedy or tragedy? Directing desire and female auteurship in the cinema of Catherine Breillat [PDF]
Ince, Kate
core +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
AI and AR based digital reconstruction of Liangshan Yi lacquerware. [PDF]
Tang X, Zhan C, Tang C, Kim S.
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
A cultural memory semiotics and function behavior structure model for digital inheritance and innovation in AI generated Huizhou woodcarving images. [PDF]
Qian Y, Bao Q, Zhang S, Peng X.
europepmc +1 more source
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source
Unraveling Fundamental Activity-Stability Relationships in Rutile Oxides. [PDF]
Maraschin M, Gauthier JA.
europepmc +1 more source
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
Reconstructing hand gestures with synergies extracted from dance movements. [PDF]
Olikkal P +4 more
europepmc +1 more source

