Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels ...

Many neuroscientists, medical researchers and engineers specializing in artificial intelligence have been trying to understand the neural mechanisms underpinning learning. Although studies have ...

Quantum computers promise to solve problems that stump even the most powerful supercomputers, but the machines themselves are ...

Effective learning isn't just about finding the easiest path—it's about the right kind of challenge. Two prominent theories—Desirable Difficulties (DDF) and Cognitive Load Theory (CLT)—offer valuable ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

As marketing director of Attensi, Anthony Wong helps people learn faster and better by making learning more fun and fruitful. Do you know where you were on June 26, 1997? Probably not. Unbeknownst to ...