Built by Kaz, a Durham University Computer Science student, with academic guidance from a professor specialising in Machine Learning. Inverim bridges cutting-edge AI research and real-world practical application.
Born from a Computer Science project at Durham University, developed by Kaz with academic guidance from a Machine Learning advisor.
Making AI literacy accessible to everyone — from 10-year-old students to retirees.
Every lesson ends with something you can do. Real tools, real projects, real businesses.
Our AI teaching engine turns complex topics into engaging genre stories — a Durham University final project, reviewed by an academic advisor in machine learning.
Associate Professor, Department of Computer Science, Durham University · IEEE Senior Member · MRC Innovation Fellow
Dr Long supported the development of Inverim's story-based learning system and reviewed our course material. His research bridges computer vision and machine learning, with a focus on scalable, interpretable AI for healthcare, education and beyond — and over 100 peer-reviewed publications in venues including IEEE TPAMI, CVPR and AAAI.
Bond-Taylor, S., Leach, A., Long, Y., & Willcocks, C. G. (2021). Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 7327–7347. doi.org/10.1109/tpami.2021.3116668
We teach what AI can do AND what it can't. No hype, no false promises.
Every lesson ends with something you can use. A tool learned, a project built, or a skill gained.
No jargon. No gatekeeping. If you can use a smartphone, you can learn AI. Ages 10 to 100.