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Microsoft unveils AI breakthroughs

DT·29 December 2025, 7:05 am

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Microsoft unveils AI breakthroughs

FROM quantum chips to seaweed cement, Microsoft says AI had a very busy year.

Photograph courtesy of Microsoft

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Microsoft researchers unveiled a series of scientific breakthroughs in 2025 that highlight how artificial intelligence is reshaping fields ranging from quantum computing and healthcare to climate science and materials engineering.

In a year-end summary, Microsoft said its scientists published multiple peer-reviewed studies demonstrating how AI can accelerate discovery while addressing sustainability, accessibility, and efficiency challenges. Among the highlights was Majorana 1, described as the world’s first quantum processor powered by topological qubits, a development researchers say could bring industrial-scale quantum computing years closer to reality.

Other advances include BioEmu-1, a deep-learning model that rapidly predicts protein stability to support faster drug development, and MatterGen, an AI system that designs entirely new materials by generating atomic structures based on specific performance requirements.

In healthcare, Microsoft researchers collaborated with institutions such as the Mayo Clinic to develop RAD-DINO, an AI model that combines text and X-ray data to help clinicians analyze radiology images more efficiently. Another project, FCDD, aims to improve early breast cancer detection, particularly for patients with dense breast tissue.

The company also showcased climate-focused innovations, including Aurora, an AI foundation model that delivers faster and more precise weather and environmental forecasts, and a deep-learning system that maps floods globally using satellite radar, even through cloud cover.

Sustainability research featured prominently, with studies on seaweed-infused cement that could cut concrete’s carbon footprint by more than 20 percent, as well as the development of an analog optical computer that uses light instead of traditional electronics to perform energy-efficient AI computations.

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