Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Functions are one of the most fundamental concepts in mathematics, forming the foundation for topics in algebra, calculus and many other areas. A solid understanding of the basics of functions, ...

At the end of the course, learners will be assessed through a final evaluation to test their overall understanding.

The Goldilocks solution to our math crisis is where relatable problems aren’t so simple that there’s no learning but also not so complex and irrelevant that there's none.

Over the last half 50 years, fractals have challenged ideas about geometry and pushed math, science and technology into unexpected areas.

Let’s cut to the chase: the only reason why people read financial publication articles is to look for an edge in the market. But with the latest developments in artificial intelligence able to ...

Illustration of a set of real zeros of a graph polynomial (middle) and two Feynman diagrams. Credit: Max Planck Institute for Mathematics in the Sciences How can the behavior of elementary particles ...

Abstract: We have already proposed the inverse function delayed (ID) model as a novel neuron model. The ID model has a negative resistance similar to Bonhoeffer-van der Pol (BVP) model and the network ...

June 26, 2025 — Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create "magic states" a key component for ...

Staying organized on the water is tough. The best fishing tackle boxes are designed to keep you fishing rather than fumbling with gear.

Abstract: Deep learning based inverse scattering (DL-IS) methods attract much attention in recent years due to advantages of fast speed and high-quality reconstruction. The loss functions of neural ...

Code for the thesis "Inverse Reinforcement Learning (IRL) with Diffusion Models". This repository contains the implementation of diffusion models for solving IRL tasks by learning reward functions ...