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

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

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

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Abstract: Bharatanatyam is an extremely narrative traditional dance of Tamil Nadu, India. The narratives are expressed by the dancer mainly through hand gestures called Mudras. Each of these mudras ...

Fintech is technology in finance. By “technology” today, I mean artificial intelligence. Artificial intelligence is ...

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Casting directors of some of this season’s buzziest films chronicle how enlisting professionals lent credibility to the contenders. By Max Gao For the first time in the ceremony’s 98-year history, ...

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...