Paper manufacturing is very energy-intensive, but there is great potential for improving energy efficiency. In a ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Once an association – even a small one – is established, researchers then must consider the extent to which causation can be claimed. One way to do this is through what’s called dose-response. This ...

Controlled trials show that generative AI can increase output by between 20 and 60 percent, while field experiments suggest ...

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, ...

An innovative method for trapping lithium ions has led to a promising technology for extracting precious lithium isotopes—a ...

“When I did this experiment I hoped that I would win the Ig Nobel. It’s my dream. Unbelievable. Just unbelievable,” said ...

It's notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end to that ...

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 ...

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few ...

In this context, the research-based Designing Your Life (DYL) developed by professors Bill Burnett and Dave Evans at Stanford applies design thinking to the most important project of all: one’s life.