Graphene could transform everything from electric cars to smartphones, but only if we can guarantee its quality. The ...

One of the clearest explanations for why expert data remains essential comes from Mark Quinn, senior director of AI ...

Solving Problem 1 on work and energy from an old physics final exam. Follow the step-by-step reasoning behind classic work–energy principles and see how foundational physics problems were approached ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

Abstract: Surrogate models are increasingly used to reduce the computational costs of building performance simulation (BPS) models. However, they are rarely coupled with optimization algorithms to ...

For centuries, the principle of symmetry has guided physicists towards more fundamental truths, but now a slew of shocking findings suggest a far stranger idea from quantum theory could be a deeper dr ...

The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...

Abstract: This study introduces a physics-based, SPICE-compatible model for Nanosheet Field-Effect Transistors (NsFETs) that offers explicit expressions for the drain current, terminal charges, and ...

The future of AI isn’t in a distant server farm – it’s in your pocket, finally awake, and it doesn’t need Wi-Fi to prove it, ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

“On Saints Row we had a debug npc named Skinballs (lol) that was literally just four spheres wrapped in different shades of ...