The best simulation games give us - regular people - the chance to do things we wouldn't usually get the chance to do. Sometimes, these are extraordinary, highly specialized activities, and sometimes ...

Here’s a fun build from [RootSaid] that is suitable for people just getting started with microcontrollers and robotics — an Arduino-controlled two-wheeled robot. The video assumes you already have one ...

From ancient Greek philosopher Plato to Neo, hero of the dystopian film fantasy The Matrix, humans have long pondered the true nature of reality. Can we trust what we see, taste, touch, smell, and ...

David Harper is the CEO and founder of Bionic Turtle. He is also a published author with a popular YouTube channel on expert finance topics. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an ...

Central charge, a key quantity in conformal field theories, is crucial in the study of critical phenomena, yet its measurement has remained elusive. Here, the authors extract the central charge of ...

This simulator is based on the Economic Simplified Boiling Water Reactor (ESBWR), designed by General Electric. It was developed by CTI Simulation International Corporation in 2008. The advanced BWR ...

What are the best train games on PC? There's something very appealing about the prospect of building and operating your own network of railroads, whether it's the logistics of mapping and routing ...

Technology has completely transformed the adult entertainment industry. A few decades ago, there were magazines, videotapes, and porn booths to fulfill fantasies. These days, there is no shortage of ...

Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures and ...

Abstract: Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks ...

Abstract: Visual encoders are fundamental components in vision-language models (VLMs), each showcasing unique strengths derived from various pre-trained visual foundation models. To leverage the ...