Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

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

AI companies are hiring philosophy graduates to help them understand the nature of consciousness, whether it can be ...

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

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Elon Musk follows a five-step framework to solve engineering and operational challenges at Tesla and SpaceX. The process, detailed in Walter Isaacson's biography Elon Musk, revolves around five ...

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 ...

I’m in a coffee shop when a young child dumps out his mother’s bag in search of fruit snacks. The contents spill onto the table, bench and floor. It’s a chaotic – but functional – solution to the ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

As quantum computing develops, scientists are working to identify tasks for which quantum computers have a clear advantage over classical computers. So far, researchers have only pinpointed a handful ...