Rapid urbanization and greening efforts in cities worldwide have undeniably improved living standards, but they have also ...
HOUSTON — Tech startup Unspace was founded in 2020. Since 2022, it has been advancing machine learning in the field of machine vision to improve rail safety and operational efficiency, a journey that ...
Abstract: Laser integration, optical coupling, and assembly are challenging problems that need to be further addressed to reduce the manufacturing costs of silicon photonic-based products. In this ...
This repository contains a C++ reimplementation of bmDCA adapted from the original code. Method is described in: Figliuzzi, M., Barrat-Charlaix, P. & Weigt, M. How Pairwise Coevolutionary Models ...
Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedding-based entity ...
Naturalistic interactions involve dynamic, nonlinear coordination that unfolds across multiple timescales, yet most hyperscanning studies rely on analytical methods designed for passive, ...
Abstract: We report on two edge-coupling and power splitting devices for hybrid integration of III-V lasers with sub-micrometric silicon-on-insulator waveguides. The proposed devices relax the ...
Imagine you’ve just had the best French toast of your life. It was so delicious, so perfect, that you want your best friend to be able to understand just how wonderful it was. The trouble is, they ...
This important paper presents a thoroughly detailed methodology for mesoscale-imaging of extensive areas of the cortex, either from a top or lateral perspective, in behaving mice. The examples of ...
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