New tool steers AI models to create materials with exotic quantum properties

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, ...

New software tool aims to democratize access to space camera development

A powerful software tool capable of accurately modeling how cameras capture light could help democratize the development of ...
IEEE

Developments on the “Machine Learning as a Service for High Energy Physics” Framework and Related Cloud Native Solution

Abstract: Machine Learning (ML) techniques have been successfully used in many areas of High Energy Physics (HEP) and will play a significant role in the success of upcoming High-Luminosity Large ...
IEEE

Data-Driven and Physics-Assisted Machine Learning Approach for Warpage Classification and Process Parameter Optimization in a 3-D-Printed BeltClip

Abstract: 3-D printing, or additive manufacturing (AM), leverages 3-D computer-aided design models and numerical control to produce objects layer-by-layer, playing a key role in Industry 4.0 and ...
GitHub

Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding

(a) SA-Radar enables controllable and realistic radar simulation by conditioning on customizable radar attributes. It supports flexible scene editing such as attribute modification, actor removal, and ...
GitHub

MKDPINN: Meta Learning and Knowledge Discovery-Based Physics-Informed Neural Networks

MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...