Abstract: By integrating a nearly infinite number of reconfigurable elements into a finite space, a spatially continuous array aperture is formed for holographic multiple-input multiple-output (HMIMO) ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

Machine learning has become an essential tool in computational drug design, enabling models to uncover patterns in molecular data and predict protein–ligand interactions. This study introduces a novel ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Understanding olfactory receptor (OR)–odorant interaction is crucial for unraveling ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

The film demonstrates the process of sculpting a clay portrait, detailing the importance of armatures, measurements, and techniques used to create a three-dimensional representation. The sculptor ...

A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...

Welcome to Part 2 of our Blender tutorial series for absolute beginners! In this episode, we'll dive into modeling an easy strawberry from scratch. Follow along with step-by-step instructions and tips ...

The Opensource DeepSeek R1 model and the distilled local versions are shaking up the AI community. The Deepseek models are the best performing open source models and are highly useful as agents and ...

Introduction: Homology modeling is a widely used computational technique for predicting the three-dimensional (3D) structures of proteins based on known templates,evolutionary relationships to provide ...