Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

Collaboration, Not Donations, Key to Social Innovation in ESG Era Strategic partnerships combine corporate resources, NGO ...

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

The joy of achieving 500,000 yen or more in monthly sales in high-end brand reselling is irreplaceable for any business owner. However, that joy is short-lived; before you know it, your bank account ...

Some analysts have been quick to draw comparisons with Japan's housing bubble that burst in 1991. But such arguments are ...

It started almost by accident. At my startup Dwelly, I constantly push the limits of what AI tools can actually do. One day I just typed into a chat: “Can you prove P ≠ NP?”—referring to the problem ...

Abstract: Influence maximization refers to the problem of selecting the most influential source set of a given size in a diffusion network. Most of the existing literature assumes the knowledge of the ...