Information technology articles from across Nature Portfolio

Learning and embodiment are intertwined, resulting in a mutually reinforcing effect. Research should aim not only for learning to enhance embodiment, but also, more importantly, for embodiment to facilitate learning. Achieving synergy between these two aspects remains an ongoing challenge.

A quantum random-number generator has been developed that uses classical cryptography to certify that its output was produced by a quantum process.

Automated programs gathering training data for artificial-intelligence tools are overwhelming academic websites.

Collaborative use of population-level health data and artificial intelligence is essential for achieving precision health through a learning health system. Two groundbreaking initiatives—the European Health Data Space (EHDS), covering 449 million EU citizens, and Germany’s forthcoming Health Data Lab, providing access to data from 75 million insured individuals (90% of the country’s population)—offer unprecedented opportunities to advance digital health innovation and research with global impact.

Agentic artificial intelligence (AI) workflows, integrated with 6G-enabled edge computing, present a transformative approach to reduce hallucinations in generative AI. Combining real-time tool integration, self-reflection and collaborative multi-agent systems, this framework offers scalable, reliable solutions for diverse applications, advancing the accuracy and adaptability of generative AI in dynamic and data-intensive environments.

Aiming to reach the unreached, we developed a Dashboard pipeline incorporated with ChatGPT engine to effectively monitoring various disease metrics and trends and to inform necessary response strategies. This WHO Digital Public Good provides a coordinated framework to monitor the estimated burden and reported cases of various communicable diseases across different WHO Regional Offices. We believe that this initiative is important to achieve universal health coverage.