Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
Scientific American

NASA’s Apollo moon missions relied on this computer scientist and differential equations

It’s July 20, 1969. Neil Armstrong and Buzz Aldrin are about to land on the moon. They will be the first humans to set foot on Earth’s only natural satellite. Suddenly, the onboard computer flashes: ...
Frontiers

Implementing physics-informed neural networks with deep learning for differential equations

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...
The Indian Express

IITs free courses for students & professionals that don’t require JEE

IIT Free Courses with Certificate 2025: Getting engineering-related degrees from India’s top institutes like IIT Madras, IIT Bombay, and IIT Delhi, among others, is a dream of various JEE aspirants.
GitHub

Theory of Functional Connections (TFC)

The tfc Python module is designed to help you quickly and easily apply the Theory of Functional Connections (TFC) to optimization problems. For more information on the code itself and code-based ...
GitHub

Physics-Informed Neural Network (PINN) Project

physics_informed_neural_network/ ├── app/ # FastAPI application │ ├── __init__.py │ ├── api/ # API endpoints │ │ ├── __init__.py ...
Hacker

Simulating Infectious Disease Spread with Python: SIR and SEIR Models

- Software Engineer - CEO, Lucre (getlucre.xyz - Bitcoin payment infrastructure). Disclaimer: This article aims to clarify that the code provided is not a universal solution for all aspects of ...