Wikipedia-based AI model reveals the 100 technologies to watch
Nature News ·

3D printing is predicted to be one of the fastest-growing technologies this year. Credit: Stenko Vladislav Vitalievich/iStock via Getty Machine learning, blockchain databases and 3D printing will be …
3D printing is predicted to be one of the fastest-growing technologies this year. Credit: Stenko Vladislav Vitalievich/iStock via Getty Machine learning, blockchain databases and 3D printing will be some of the fastest-growing technologies this year. That’s the prediction of the artificial-intelligence-powered 2026 Momentum 100 list of rapidly emerging technology, released by Australian researchers in December 2025. Soft robotics, augmented reality and ’omics — large‑scale, data‑driven studies of biological molecules such as DNA, proteins and metabolites — were also among the top-ranked technologies. The inaugural Momentum 100 list was derived from an open-access data set called Cosmos 1.0, published in the journal Scientific Data 1 . To produce the data set, the study authors used a large language model (LLM) to extract information from thousands of Wikipedia pages about science and technology (see ‘Momentum leaders in the Nature Index’). The LLM then clustered the content on the basis of written and hyperlinked connections to create a map of the emerging-technology landscape. The data set, which is available on the repositories Figshare and Github , can be filtered in various ways, adjusting indices such as a technology’s age and its Wikipedia pageview trends over time. …
Original source: Nature News
Mentioned
Australia · Wikipedia · Springer Nature · University of Sussex