Kevin Fleming/Corbis For anyone who has ever wondered what it would be like to learn from a Nobel Prize-winning scientist, you’re in luck: You can read physicist Richard Feynman’s most famous ...

Thought experiments can have some advantages over real experiments: they require no special equipment, are low-cost, can be ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

You’ve gotta love a book that follows “Chapter One: Matter” with “Chapter Two: Quantum Theory.” The Instant Egghead Guide: Physics by Brian Clegg and Scientific American does just that ...

A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from ...

You will always be learning new things, and there will always be new stuff to learn (no one learned about smartphones in the '80s). In fact, a college degree is not about job training. It's not.

A more systematic way of making physics interesting – and at the same time improving students’ employability – is problem-based learning (PBL). Having been used for almost 40 years in undergraduate ...

Other major physics organizations are starting to offer training as well. In 2022, the American Physical Society’s Group on Data Science began hiring physics doctoral students to write introductory ...

Similar analogies exist in the area of autonomous vehicles. Overall, machine learning seems to define the notion of probabilistic algorithms in computer science in a similar manner as quantum physics.