NextFin News - World-leading scientists have joined forces at Heriot-Watt University to create the first ever 3D movies of black holes, funded by a £4 million Faraday Discovery Fellowship awarded to Dr Kazunori Akiyama. The TomoGrav project, announced in December 2025, combines expertise from black hole imaging—pioneered by Dr Akiyama as a deputy scientist within the Event Horizon Telescope (EHT) collaboration—and cutting-edge artificial intelligence algorithms developed by Professor Yves Wiaux. The research team includes multidisciplinary partners from across the globe and aims to produce dynamic gravitational tomography, revealing how plasma flows, magnetic fields evolve, and spacetime bends near black holes over time.
The initiative marks a transition from static 2D images such as the iconic 2019 and 2022 snapshots of supermassive black holes M87* and Sagittarius A*, toward time-resolved, high-resolution 3D visualizations that capture the full complexity and physics underlying these cosmic phenomena. Dr Akiyama has moved from MIT’s Haystack Observatory to Heriot-Watt University, capitalizing on the UK’s strengths in computational imaging. Alongside observations from ground-based and forthcoming space-based telescopes—including the proposed Black Hole Explorer mission—the project promises to directly measure black hole spin and map photon rings, enabling stringent tests of general relativity in extreme gravitational environments.
Beyond astrophysics, the same AI-driven imaging technology is expected to accelerate diagnostic MRI scans for heart and liver diseases, reducing patient scan times and healthcare costs. Additionally, it will improve Earth observation systems, particularly for sea level and climate monitoring—highlighting the project’s interdisciplinary impact. Heriot-Watt’s Deputy Principal of Research and Impact, Professor Chris Turney, emphasized how TomoGrav exemplifies leveraging fundamental science to address critical societal challenges through advanced imaging techniques.
This milestone emerges amidst a rapidly evolving field of black hole research, where UK institutions are increasingly central. Another renowned black hole scientist, Professor Sera Markoff, recently joined the University of Cambridge, augmenting collaborative efforts within the UK. By integrating AI’s computational power with international telescope data, TomoGrav is set to shape future instrument design and data interpretation, with new observational campaigns slated within the next few years and space missions planned for the 2030s.
Analyzing this development, it is evident that the ability to create 3D, dynamic movies of black holes represents a qualitative leap in astrophysical imaging. Traditional imaging techniques have relied on assembling incomplete data into largely static representations limited by the sparse, noisy signals from telescopes. Dr Akiyama and Professor Wiaux’s application of AI methodologies to reconstruct detailed time-dependent structures transcends these constraints by inferring the intricate physics of plasma jets and magnetohydrodynamics in real time. This promises a paradigm shift from descriptive imagery to quantitative, functional models of black hole environments.
The implications for fundamental physics are profound. Black holes serve as natural laboratories to test theories of gravity under conditions unattainable on Earth. Access to detailed spin measurements and photon ring mapping could provide unprecedented empirical validation or challenge to Einstein’s general relativity, bolstering or reshaping our understanding of gravity at its most extreme. Furthermore, elucidating the formation mechanisms of colossal plasma jets will clarify their role in galactic evolution, a key question in cosmology with wide-ranging consequences for galaxy formation models and large-scale structure evolution.
Technologically, the convergence of AI and astrophysical imaging accentuates a growing trend of cross-disciplinary innovation. The dual use of AI-driven tomography has direct translational benefits, notably accelerating medical imaging workflows in MRI scanners. Given that both astronomy and medical diagnostics share the technical challenge of reconstructing accurate images from incomplete or noisy inputs, the project’s breakthroughs offer scalable solutions beyond astronomy, enhancing operational efficiency and patient experience while reducing systemic costs.
In Earth observation, enhanced imaging capabilities derived from black hole research algorithms promise improved resolution and accuracy in monitoring critical environmental variables such as sea level rise and Earth's rotational dynamics. This connection underscores a strategic approach to fundamental research that yields concrete societal gains, critical as climate variability and health system pressures intensify.
Looking forward, TomoGrav’s success is likely to catalyze further scientific and institutional momentum in AI-augmented astrophysics. The establishment of a UK-led research community at this interface may attract diverse funding streams, encourage international collaborations, and drive the development of next-generation space telescope designs. Additionally, as 3D black hole movies become available, a broader scientific and public engagement with these cosmic phenomena is expected, reinforcing science communication and education.
Overall, this milestone exemplifies how concentrated investment in specialized AI and imaging capabilities, coupled with international scientific collaboration, can elevate the exploration of the universe’s most enigmatic objects. As the project progresses toward delivering high-resolution, time-resolved visualizations of black hole plasma dynamics, it will unlock new frontiers in astrophysics, validate foundational physical theories, and extend the impact of scientific discovery into critical fields of healthcare and climate science.
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