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Plasma-jet movie is astronomy’s summer blockbuster

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Why This Matters

The development of the AI-driven algorithm 'kine' marks a significant advancement in astrophysics, enabling more detailed and dynamic analysis of relativistic jets around black holes. This breakthrough not only enhances our understanding of these extreme phenomena but also demonstrates the growing impact of artificial intelligence in scientific research, potentially accelerating discoveries across the tech industry and space exploration. For consumers, this means future improvements in astronomical imaging and data interpretation, bringing us closer to unraveling the mysteries of the universe.

Key Takeaways

Black holes can’t emit light but the region around them can be extremely bright, ejecting beams of glowing plasma at more than 98% of the speed of light1. When studying these ‘relativistic jets’, astronomers must typically work with a small number of observations, so studying the jets’ dynamics is similar to trying to understand the plot of a film from several still images. But now, writing in Nature, Foschi et al.2 report an artificial-intelligence-driven algorithm called kine that changes the game.

doi: https://doi.org/10.1038/d41586-026-02522-4

References Hovatta, T. & Lindfors, E. New Astron. Rev. 87, 101541 (2019). Foschi, M. et al. Nature https://doi.org/10.1038/s41586-026-10988-5 (2026). Högbom, J. A. Astron. Astrophys. Suppl. 15, 417–426 (1974). Cohen, M. H. et al. Nature 268, 405–409 (1977). Marscher, A. P. & Gear, W. K. Astrophys. J. 298, 114–127 (1985). Lister, M. L. et al. Astrophys. J. Suppl. Ser. 234, 12 (2018). Download references

Competing Interests The author declares no competing interests.

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