Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

An AC/DC power supply with input power greater than 75 W requires power factor correction (PFC) to: Take the universal AC input (90 V to 264 V) and rectify that input to a DC voltage. Maintain the ...

Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...

Soybean is one of the world’s major oil-bearing crops and occupies an important role in the daily diet of human beings. However, the frequent occurrence of soybean leaf diseases caused serious threats ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Photometric redshift estimation is a critical component in large-scale galaxy surveys, enabling researchers to estimate distances to billions of galaxies without requiring time-intensive spectroscopic ...

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) ...