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 ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean ...

A 24-week live online programme that builds applied AI capability, from core analytics to production deployment, with a ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Anthropic's Claude Sonnet 4.6 matches Opus 4.6 performance at 1/5th the cost. Released while the India AI Impact Summit is on, it is the important AI model ...

OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.

Google says its latest Deep Think upgrade is designed to tackle research-grade problems in maths, science, and engineering, with access expanding to the Gemini app and API.

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...