Phase-field modeling offers a powerful tool for investigating the electrical control of the domain structure in ferroelectrics. However, its broad application is constrained by demanding computational ...

The prediction of climate has been a long-standing problem in contemporary science. One of the reasons stems from a gap in the ability to obtain 3D mapping of clouds, especially shallow scattered ...

Physna, a Cincinnati, Ohio-based startup developing an AI-powered 3D modeling platform for industrial engineering, today announced that it raised $20 million. The company says the funds will be used ...

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples. Researchers from the McKelvey School of Engineering ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

At this point, we’re used to AI-powered image tools that instantly pull off previously high-effort edits, like filling in the missing bits of a scene or erasing unwanted parts of a photo without ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? The Drexel School of Computer and Information Sciences' Master of Science in Artificial Intelligence and Machine ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...