As a physics major, it feels like I spend the majority of my waking life solving problems. I’ve calculated the amount of water you get from mixing different ratios of steam and ice, the path of ...

Google updated its search engine and Lens tool with new features to help you visualize and solve problems in more difficult subjects like geometry, physics, trigonometry and calculus. The update ...

Master pendulum dynamics with **“Solve Ball Swinging Problems With Two Strings Like A Pro.”** This tutorial walks you step by step through analyzing and solving problems involving a ball suspended by ...

Learn how to confidently apply Coulomb’s Law using a clear, step-by-step problem-solving method. This tutorial breaks down electric force calculations, charge interactions, units, and common mistakes, ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson ...

Have you ever tried searching Google for answers to your homework, and more specifically, math and science problems? Back in the day, this was a hard feat, as Google would only lead users to websites ...

Matthew Zucca, a tech enthusiast and former consultant from Canada, joined Android Police in 2023. Leveraging his technical knowledge and previous consulting experience, Matthew got his first two ...

Researchers at Google have created an algorithm that can translate complex physical problems into the language of quantum mechanics, which could make quantum computers able to tackle more tasks. IBM’s ...

(via Sabine Hossenfelder) Progress in the foundations of physics is moving slowly. And yet it moves. Today I look at the five biggest problems in physics, what their status is, and how long it will ...

How much faster could engineering progress with an artificial intelligence oracle that could answer any physics question? Such a machine is the big picture aim of the newly formed Center for ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high quality ...