Designing the right microwave pulses for complex spin systems can overwhelm even powerful computers. Aarhus University researchers instead let an AI-controlled spectrometer learn directly from the sample – rather like trying to guide a crowd of sugar-fuelled children through an amusement park by watching how they react and adjusting along the way.

Eight papers by a research team led by Professor Jungwoo Lee of the Department of Electrical and Computer Engineering at Seoul National University College of Engineering have been accepted to NeurIPS 2026, a leading international conference in artificial intelligence and machine learning, and EMNLP 2026, a major international conference in natural language processing.

The Perspectives from the Global South on the Anthropocene Team at the Max Planck Institute of Geoanthropology presents its second Executive Report, Biodiversity Through Time: Deep Histories and Living Knowledge Systems from the Global South, in connection with the 17th Conference of the Parties to the Convention on Biological Diversity in Yerevan, Armenia.

A new project hosted at Simon Fraser University (SFU) is helping Indigenous communities train a new generation of speakers and support them with technologies including artificial intelligence (AI).

First Languages AI Reality (FLAIR), housed at SFU’s Digital Democracies Institute (DDI) and Cedar Supercomputing Centre, is developing AI-powered learning modules for at-risk languages and training AI models on them to help more people learn languages that are in danger of disappearing.

The project, led by Indigenous scientists Caroline and Michael Running Wolf, is currently working with four Indigenous communities: the Gwich’in in Northwest Territories, Kwakwaka’wakw on Vancouver Island, the Makah Tribe in Washington State and the Yawanawá of the western Brazilian Amazon.

A new mapping framework uses satellite data and machine learning to distinguish monoculture from intercropped maize across Kenya’s rainy seasons.