Wikipedia-based AI model reveals the 100 technologies to watch

2026-04-23 · Source: Machine learning : nature.com subject feeds · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

The 2026 Momentum 100 list, released in December 2025 by Australian researchers, predicts machine learning, blockchain databases, and 3D printing will be among the fastest-growing technologies this year. This inaugural list, powered by artificial intelligence, also highlights soft robotics, augmented reality, and 'omics. The list was generated from Cosmos 1.0, an open-access dataset created using a large language model (LLM) to extract and cluster information from thousands of Wikipedia pages. Reinforcement learning, a type of machine learning, topped the list, followed closely by blockchain technology. The Cosmos 1.0 dataset is available on Figshare and Github, allowing filtering by technology age and Wikipedia pageview trends.

Key takeaway

For AI Scientists and data analysts seeking to identify future technology trends, the Momentum 100 list and its underlying Cosmos 1.0 dataset offer a novel, data-driven approach. You should explore this AI-powered methodology as an alternative to traditional expert-led forecasting, potentially streamlining the process of identifying critical emerging technologies for strategic investment or research focus.

Key insights

AI-powered data analysis can identify emerging technologies more efficiently than traditional expert-driven methods.

Principles

• Data-driven forecasting offers an alternative to expert consensus.
• LLMs can reveal latent knowledge in complex systems.

Method

A large language model (LLM) extracts information from Wikipedia pages, clusters content based on connections, and generates a map of emerging technologies, which is then filtered using various indices.

In practice

• Explore Cosmos 1.0 on Figshare or Github for technology trends.
• Consider LLMs for large-scale data extraction and clustering.

Topics

• Momentum 100 List
• Emerging Technologies
• Large Language Models
• Reinforcement Learning
• Blockchain Technology

Code references

• xian-gong-elaine/Cosmos_1.0

Best for: AI Scientist, Research Scientist, Policy Maker, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine learning : nature.com subject feeds.