More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

Currently in the test phase, researchers will now be tasked with figuring out how a machine learning tool as such can be implemented in real-time clinical practice.

Surface fractures are a significant problem in engineering structures like buildings and roads. Therefore, detecting such cracks is essential for assessing damage and maintaining these structures. The ...

To integrate complementary thermal and texture information from source infrared (IR) and visible (VIS) images into a comprehensive fused image, traditional multiscale transform algorithms, and deep ...

An advanced exploration of Quantum Fourier Transform (QFT) using Quantum Machine Learning (QML). This project delves into the optimization of variational quantum circuits, leveraging machine learning ...

Optimal Transport Networks in Spatial Equilibrium - MATLAB Toolbox MATLAB toolbox implementing the quantitative spatial economic model of: Fajgelbaum, P. D., & Schaal, E. (2020). Optimal transport ...

For the CJW6768, CJW6769, CJW7020, and CJW7021 strains used in Figure 2 and Figure 2 – figure supplement 1, Oufti (Paintdakhi et al., 2016) was used to draw cell meshes on the phase contrast snapshots ...