Understand tension forces through a fun superhero rope problem. This video uses a real-world–inspired scenario to explain how tension acts in a rope, how forces are distributed, and how Newton’s Laws ...
This is where Emmy Noether, a groundbreaking German mathematician, comes into the picture. She found a breathtakingly simple ...
Quantum mechanics is rich with paradoxes and contradictions. It describes a microscopic world in which particles exist in a ...
Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write email, and solve problems at seemingly lightning speed, pulling from enormous ...
With board exams approaching, many students find numerical problems in Physics and Chemistry difficult and time-consuming. These questions test more than memory. They check whether a student ...
Understanding the mechanics of a pulley system often begins with mastering the art of drawing a free body diagram for a pulley. This diagram is not just a visual aid; it's a cornerstone for analyzing ...
Physicists have transformed a decades-old technique for simplifying quantum equations into a reusable, user-friendly "conversion table" that works on a laptop and returns results within hours. When ...
Microsoft’s near-term margin pressure reflects a “physics problem” of massive AI CapEx colliding with surging long-term demand. Satya Nadella’s “new economics of AI” signals a company-wide shift ...
We may receive a commission on purchases made from links. Whether you look forward to the chore of mowing the lawn or not, experiencing problems with your lawn mower when you've set aside time to mow ...
Daniel Whiteson and Andy Warner’s upcoming book is a philosophical exploration of the humanity behind our desire to find aliens. Reading time 6 minutes At Gizmodo, we love a good story about ...
(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 ...
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 ...