The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

This shift acts as a force multiplier for computational thinking skills, and more people can supercharge their problem-solving capabilities.

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

These techniques were devised for engineering and design problems, which involve solving practical goals, such as building a bridge, using physical materials, such as bricks and cement.

Deep Think builds on the version of Google’s Gemini 2.5 model that recently clinched a gold medal standard at the 2025 International Mathematical Olympiad (IMO).

Employers are increasingly looking for problem-solving skills in their workforce, according to the Future of Jobs report by the World Economic Forum.

Disadvantages: Relying solely on AIMath may inhibit the development of critical thinking skills as students may become overly dependent on AI for problem-solving strategies and approaches.