A machine learning model used neural decoding to show how we think about abstract concepts like electrical current and diffraction. The results could change how we teach physics. Share on Facebook ...

PROF. EDDINGTON (NATURE, April 14, p. 201) expresses well the properties that a substratum of matter, light, and electric force should have, and the reasons for combining space and æther, the two ...

In Python Physics #27, we break down the concept of electric potential using point charges and Python simulations. Learn how to calculate and visualize the potential created by single and multiple ...

There is one physics concept that almost everyone misunderstands, even after hearing it explained a hundred times. The common ...

How can you engage your students and be sure they are learning the conceptual foundations of a lecture course? In “From Questions to Concepts,” Harvard University Professor Eric Mazur introduces Peer ...

Add Yahoo as a preferred source to see more of our stories on Google. Entropy is the process of losing energy and this can apply to physics and social systems alike. JamesBrey/iStock via Getty Images ...

Neural Concept unveils its new AI Design Copilot at CES, empowering engineers to generate thousands of manufacturing-ready virtual 3D geometry options from design intent, in minutes Removes CAD ...

Physics, particularly forces and motion, can be challenging. By observing everyday motion, conducting simple experiments, and understanding Newton's laws in plain language, the concepts become more ...

Two challenges in the field of artificial intelligence have been solved by adopting a physical concept introduced a century ago to describe the formation of a magnet during a process of iron bulk ...

The MarketWatch News Department was not involved in the creation of this content. -- Neural Concept unveils its new AI Design Copilot at CES, empowering engineers to generate thousands of ...