Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Puzzle games have come a long way since Tetris first proved how addictive pure problem solving could be. From genre […] ...

As a key component of the initiative, Walnut Coding has organized public welfare training sessions to support primary and secondary school teachers nationwide. These programs focus on AI literacy, ...

Explore the urgent need to transform India's engineering education to meet evolving demands in the AI-driven job market.

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Abstract: Mixed Integer Linear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the ...

More than five years after the pandemic threw schools off course, the latest evidence suggests that progress toward solving ...

Panellists at the 2026 GIMPA Academic Excellence Conference have called for stronger collaboration between academia and industry in order to equip graduates with employable skills. They urged ...

PROBLEM-SOLVING skills are often rated as one of the most important skills that employers seek in recruitment and talent development. How has this changed in an artificial intelligence (AI)-enabled ...

That skill on your resume probably isn’t catching the employer’s eye, a new report from the Wharton School says. Here's what companies are looking for.

Abstract: The utilization of neural network models for solving combinatorial optimization problems (COPs) has gained significant attention in recent years and has demonstrated encouraging outcomes in ...