Researchers at the Department of Energy's Pacific Northwest National Laboratory use a slew of autonomous robots to design and implement experiments. However, setting up an experiment on an autonomous lab robot is surprisingly slow. The effort requires a lengthy back-and-forth between a scientist and an engineer to design the experimental steps—a process that can take weeks.

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the core functions of generative AI into a single device platform based on ferroelectric memory. This technology is significant as the first demonstration of implementing the two essential functions required for generative AI—random sampling and stable computation—within a single memory array.

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that exactly match user-drawn shapes using generative AI. The generative design model, "Generative SNUPI," arranges DNA bases along the contour of a user-defined shape and automatically designs the bonding pathways required to assemble the structure. This breakthrough effectively enables AI to function as a nanodesigner.

For centuries, people have dreamed of undoing Babel. Sci-fi novelists envisioned universal translators, and linguists devised international languages, all in pursuit of a world where one person could speak and another could understand, regardless of where either was born.

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it. But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy and cost.