Month: January 2026

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used by people worldwide. These models have proved to be effective in rapidly sourcing information, […]

How inconvenient would it be if you had to manually transfer every contact and photo from scratch every time you switched to a new smartphone? Current artificial intelligence (AI) models face a similar predicament. Whenever […]

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge […]

For half a century, computing advanced in a reassuring, predictable way. Transistors—devices used to switch electrical signals on a computer chip—became smaller. Consequently, computer chips became faster, and society quietly assimilated the gains almost without […]

Generative AI is reshaping software development—and fast. A new study published in Science shows that AI-assisted coding is spreading rapidly, though unevenly: in the U.S., the share of new code relying on AI rose from […]

Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used artificial intelligence (AI) platforms, can rapidly source information and generate texts tailored for specific purposes. As these models […]

The vision of a fully connected world is rapidly becoming a reality through the Internet of Things (IoT)—a growing network of physical devices that collect and share data over the Internet, including everything from small […]

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence’s toughest challenges by enabling AI systems to reason more like humans—without requiring new training data beyond test questions.This post […]