In computer science, NP refers to problems where a solution can be verified quickly, even if finding that solution may take ...

From solving puzzles to masterfully playing a game of chess, current artificial intelligence tools have employed algorithms ...

One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...

A new tool called SCIGEN allows researchers to implement design rules that AI models must follow when generating new materials. The advance could speed the development of materials that enable ...

With a $400,000 National Science Foundation grant, Allison Sullivan, an assistant professor in The University of Texas at ...

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, ...

To solve a problem, scientists first need to see it clearly. Whether it’s a virus slipping past the immune system or plaques forming in the brain, visualization is the first step toward finding ...

Even a wrong answer is right some of the time AI models often produce false outputs, or "hallucinations." Now OpenAI has admitted they may result from fundamental mistakes it makes when training its ...