Nanowerk

Atomic layer processing for silicon carbide-based quantum photonic circuits

Silicon carbide is for photonic circuits and quantum devices. Atomic layer processing boosts SiC waveguides and resonators, improving performance.
Informationsdienst Wissenschaft

Microphotonics meets microelectronics: Atomic layer processing for silicon carbide-based quantum photonic circuits

Silicon carbide (SiC) is a promising material platform for photonic integrated circuits (PICs) and miniaturized solid-state quantum systems. In the ALP-4-SiC project, researchers from the Max Planck ...

10 Most Rewatchable Sci-Fi Movies of the 21st Century

Some sci-fi movies get even better with time, offering mind-blowing spectacle or new storytelling layers with each rewatch.
TheServerSide

Create your first Python AWS Lambda function in minutes

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
IEEE

Fixed-Time Distributed Consensus Optimization Control of High-Order Nonlinear Multi-Agent Systems via a Penalty-Function-Based Method

Abstract: This paper studies the distributed optimization problem of high-order multi-agent systems with unknown nonlinear terms and input saturation. Unlike existing results, nonlinear functions in ...
The New York Times

Not a Coder? With A.I., Just Having an Idea Can Be Enough.

I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence. Credit...Photo Illustration by Ben Denzer; Source Photographs by Sue Bernstein and Paul ...
GitHub

Compressing Neural Networks Using Learnable 1-D Non-Linear Functions

This directory serves as a way to re-create the results from our article - "Compressing Neural Networks Using Learnable 1-D Non-Linear Functions". If you have used our work, please cite our paper: ...