Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

Decoupling application logic from hardware lets engineers test firmware on host machines instead of waiting for dev boards.

The new capability lets scientists simulate and visually inspect automated experiments before robots run them.

Part 1 of a Python based simulation that models Faraday’s Law. Learn how electromagnetic induction can be visualized and studied using simple programming techniques. #physics #faradayslaw #pythonphysi ...

This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.

Abstract: This paper proposes an automatic framework for controlled data flow graph (CDFG) generation from verilog designs, where the generated CDFGs can be applied to visualization, formal ...

This is a small weekend(ish) hack where I've built a simulator that converts ordinary RGB videos into realistic SPAD-style binary photon frames using optical flow and poissonian statistics to model ...

Abstract: Image processing enhances visual information for effective analysis in domains such as medical imaging, satellite observation, and digital media. This work presents the fundamental ...

Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...

This repository contains the PyTorch simulation and theoretical blueprint for the Manifold Chip, a Dynamically Gated Analog Crossbar (DGAC) architecture. Current artificial intelligence architectures, ...