An advanced AI system has solved a decade-old theoretical physics puzzle, proposing a new formula for gluon interactions. The ...

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 ...

Learn how to solve resistor current problems easily – GRE Physics Practice 4! 🔬 This video breaks down step-by-step solutions for series and parallel circuits, explains key concepts like Ohm’s Law ...

Physicists have invented a new type of analog quantum computer that can tackle hard physics problems that the most powerful digital supercomputers cannot solve. New research published in Nature ...

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 ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? But researchers from Stanford University and University College Dublin (UCD) ...

Boost your physics skills with this step-by-step guide to solving pendulum period problems – GRE Physics Practice 3! 🔬 Learn how to calculate the period of simple and compound pendulums, understand ...

The team has improved the capabilities of physics-informed neural networks (PINNs), a type of artificial intelligence that incorporates physical laws into the learning process. Researchers from the ...

Google has introduced another capability for its Circle to Search feature at the company's annual I/O developer conference, and it's something that could help students better understand potentially ...

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 ...

A new study describes how machine learning tools, run on classical computers, can be used to make predictions about quantum systems and thus help researchers solve some of the trickiest physics and ...