Category Physics

Large language models (LLMs) are increasingly automating tasks like translation, text classification and customer service. But tapping into an LLM’s power typically requires users to send their requests to a centralized server—a process that’s expensive, energy-intensive and often slow.

Now, researchers have introduced a technique for compressing an LLM’s reams of data, which could increase privacy, save energy and lower costs. Their findings are published on the arXiv preprint server.

The new algorithm, developed by engineers at Princeton and Stanford Engineering, works by trimming redundancies and reducing the precision of an LLM’s layers of information...

That ordinary smartphone in your pocket could be a powerful tool for investigating outer space. In a new study, researchers at Google and CU Boulder have transformed millions of Android phones across the globe into a fleet of nimble scientific instruments—generating one of the most detailed maps to date of the uppermost layer of Earth’s atmosphere.

The group’s findings, published Nov. 13 in the journal Nature, might help to improve the accuracy of GPS technology worldwide several-fold. The research was led by Brian Williams of Google Research and included Jade Morton, professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at CU Boulder.

“These phones can literally fit in your palm,” Morton said...

Modern imaging systems, such as those used in smartphones, virtual reality (VR), and augmented reality (AR) devices, are constantly evolving to become more compact, efficient, and high-performing. Traditional optical systems rely on bulky glass lenses, which have limitations like chromatic aberrations, low efficiency at multiple wavelengths, and large physical sizes. These drawbacks present challenges when designing smaller, lighter systems that still produce high-quality images.

To overcome these issues, rese...

Artificial intelligence (AI) makes important decisions that affect our everyday lives. These decisions are implemented by firms and institutions in the name of efficiency. They can help determine who gets into college, who lands a job, who receives medical treatment and who qualifies for government assistance.

As AI takes on these roles, there is a growing risk of unfair decisions—or the perception of them by those people affected. For example, in college admissions or hiring, these automated decisions can unintentionally favor certain groups of people or those with certain backgrounds, while equally qualified but underrepresented applicants get overlooked.

Or, when used by governments in benefit systems, AI may allocate resources in ways that w...