Semiconductor Engineering

Accelerating Semiconductor Innovation Through Machine Learning-Driven Modeling

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Jing Zheng Explores Generative AI and Machine Learning Optimisation for Digital Advertising Efficiency

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...
Scientific Research Publishing

A Brief Discussion on the Theory and Application of Artificial Intelligence in Medical Diagnostics ()

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Nasdaq

Domo Ranked a Top Vendor in Dresner’s 2025 Wisdom of Crowds Analytical Data Products Report

Businesses can choose to leverage Domo’s end-to-end AI and Data Products Platform, or the composable component that best meets their needs “Modern organizations want more than dashboards; they want ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...
IEEE

Learning Causal Representations Based on a GAE Embedded Autoencoder

Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...
IEEE

Reconfigurable Intelligent Surfaces: A Hardware-Centric Review of Structures, Implementation, Evaluation, and Integration With UAV and Machine Learning

Abstract: Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative hardware innovation to shape the wireless propagation environment in Beyond-5G and 6G systems. This review provides ...