BYD is going upmarket with the Denza B5 and is targeting Australian staples like the Ford Everest and Toyota LandCruiser Prado.

Class 12 students say derivations and PYQs dominated Physics paper; Class 10 Marketing exam termed ‘very easy’ with many expecting 45+ marks., Education, Times Now ...

The Central Board of Secondary Education (CBSE) has concluded the Class 12 Physics examination, with over 18 lakh students ...

Class 10, 12 exam begins at 10.30 am across the country and abroad. Follow the blog for latest updates on exam day guidelines, students reactions, paper analysis and more.

Mixed reactions have emerged after the Class 12 Physics paper concluded, with teachers, HODs, and students sharing varied ...

Prepare for the CBSE Class 12 Physics Board Exam 2026 scheduled on 20th February with the Top 50 MCQs. Check important competency-based questions, latest exam pattern, and high-scoring practice MCQs ...

This article will help students get the sample paper for CBSE class 12th Physics board exam which is scheduled for 20th February 2026. The sample paper includes important questions and solutions which ...

Dive into the Balance Moon Stone Problem from the Feynman Lectures in this detailed explanation! This video breaks down the exercise step by step, making the physics concepts behind balance, mass ...

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

Explore the dynamics of mass tipping with springs and friction in this detailed physics analysis! This video demonstrates how forces, torque, and friction interact to influence tipping behavior, using ...

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...