When my cofounder and I were accepted into a competitive startup accelerator program in fall 2025, we applied with an ambitious idea: to build an “AI scientist” for machine learning research. What ...

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 ...

When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult scientific problem, it's tempting to credit the sharpest individual in the ...

An error has occurred. Please try again. With a The Portland Press Herald subscription, you can gift 5 articles each month. It looks like you do not have any active ...

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...

Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable of almost anything. Jo excels at intuitive problem-solving. Over her life, ...

Dr. Toyin Ajayi has an ambitious mission: to make health care accessible to all. Ajayi is the founder and CEO of Cityblock Health, a primary care provider focused on helping underserved communities in ...

We may receive a commission on purchases made from links. Technology, no matter how advanced it is, is never perfect. With every type of smart device or gadget comes some sort of issue that users have ...

Looking at challenges outside of your own company can lead to powerful change. Rosabeth Moss Kanter, professor at Harvard Business School, believes the world demands a new kind of business leader. She ...

If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...

This repository contains Conditional Value-at-Risk (CVaR) portfolio optimization benchmark problems for fully general Monte Carlo distributions and derivatives portfolios. The starting point is the ...