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 ...

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 ...

A KAIST research team won the ‘AI Physics Competition,’ where answers are derived by applying Newton’s laws of motion to ...

Physics-Informed Neural Networks (PINNs) augment traditional neural architectures by embedding the governing equations of physical systems directly into the loss function. Instead of solely minimising ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

A KAIST research team has won an international AI challenge held in conjunction with ICML 2026 for developing a system that can interpret images and text, apply physical laws, and explain its ...

The competition has both theory and practical components and tests the students on their problem-solving skills.

Like most engineers, I find myself drawn to complex puzzles. And the more complicated the problem, the more intrigued I am to solve it. This love for problem-solving was nurtured at a very young age.

Vu Nguyen Nguyen, a grade-11 Physics 1 student at Hanoi – Amsterdam High School for the Gifted, won Gold and achieved a ...