A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

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

Johns Hopkins University School of Medicine researchers unveil a new artificial intelligence (AI) deep learning digital ...

Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...

Abstract: This paper investigates the deep learning based approaches for simultaneous wireless information and power transfer (SWIPT). The quality-of-service (QoS) constrained sum-rate maximization ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Machine learning and AI are now entering the field of textile technology and at this year’s ITMA Asia + CITME exhibition from October 28-31 in Singapore, UK-based Shelton Vision will demonstrate how ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...

Introduction: Accurate prediction of joint torque is critical for preventing injury by providing precise insights into the forces acting on joints during activities. Traditional approaches, including ...