From deep learning for medical research to a variety of self-service knowledge agents, D-FW companies continue to up their ...

Abstract: This paper addresses an application of machine learning to identify dynamical model of a gas turbine engine. Fundamental aspects of component modeling and calculation of both the steady ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...

Siemens and Ingersoll Machine Tools teamed to make hybrid manufacturing portable, flexible, and ultimately deployable – with advanced CNC maximizing the possibilities for additive and subtractive ...

Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply squeezing or stretching the materials, you can make them hotter or colder. One of ...

Generative AI is here, but we don’t quite know what to do with it. Across both industry and the military, enthusiasm has outpaced results. Companies report rising rates of abandoned AI projects, while ...

Department of Materials Science and Engineering, Northwestern University, 2220 Campus Drive, Evanston, Illinois 60208, United States Department of Chemical Engineering, Howard University, 2300 sixth ...

As we get ready for 2025, the world of AI training tools is really heating up. It feels like every week there’s something new that promises to make building and using AI easier. Whether you’re just ...