The Fourier pixel colored logo of ETH Zurich. The letter ‘E’ is roughly 1 millimeter tall on the camera. Credit: Glauser YM, ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

The major veins of Chinese money plant leaves form what's called a Voronoi diagram. It might be caused by a plant-growth ...

When most people think of visual art, they don’t usually think of math at the same time. One primary reason for this is that mainstream culture has framed art and math as two separate functions of the ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms, and pre-trained models allow developers to build complex AI systems with ...

Forbes contributors publish independent expert analyses and insights. Anisha Sircar is a journalist covering tech, finance and society. This voice experience is generated by AI. Learn more. This voice ...

New research being presented at this year's European Congress on Obesity (ECO) in Istanbul, Turkey (May 12–15), reveals distinct patterns of heart, metabolic, and inflammatory health risks between men ...

Some kids struggle with math. Now, scientists have pinpointed some of the specific thinking processes and brain regions that might explain why math is a little harder for some than others. When given ...

Researchers at Stanford and Caltech have found some critical reasoning failures in advanced AI models. LLMs are great at recognizing patterns, but they have trouble with basic logic, social reasoning, ...