An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models. However, the demand for ever-increasing power and computing capacity is ...

Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...

Abstract: Carrier phase recovery (CPR) is crucial in coherent optical communication, ensuring reliable data transmission. This letter proposes a novel artificial neural network (ANN)- based CPR ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

Leadership from KAI, Hanwha Systems, Funzin and KAIST at the center's opening ceremony. Credit: Korea Aerospace Industries SINGAPORE—Alongside Hanwha Systems and local artificial intelligence (AI) ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

Abstract: This paper presents a feature selection technique based on $\ell _{1}$ regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) ...

College of Integrated Circuits and Micro-Nano Electronics, School of Microelectronics, State Key Laboratory of Integrated Chip and System, Fudan University, Shanghai 200433, China ...