Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

Ching-Yao Lai, an assistant professor of geophysics at Stanford University, works to advance scientific understanding of ice ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

A team of international researchers, including an Aston University researcher, has cracked the code on how "breather" laser ...

It’s the same math that explains how, under the right conditions, the atmosphere above a barren plain can produce a roiling ...

Nothing rivals the human brain's complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion ...

As the COVID-19 pandemic wreaked havoc and lives were at stake, the advice experts gave to decision-makers became ...

I did the math to see how much a new fridge saves compared to a 10-year-old model, and how long it'll take to pay back the ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...