Researcher makes 'little data' act big through, the application of mathematical techniques normally used for time-series, to spatial processes. The identification of human migration driven by climate ...

Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS Spectral fingerprints of materials in the THz range hold a myriad of captivating light-matter interactions for ...

Radiant Vision Systems, a leading provider of photometric imaging solutions for light and display measurement, announces that it will present a technical paper during the 2020 Display Week Symposium ...

Spatial proteomics represents a revolutionary frontier in molecular biology, enabling researchers to explore protein expression while preserving the critical spatial context of tissue architecture.