Connecting the UK community in tiny machine learning, embedded intelligence and low-power AI.
Apply for up to £5,000 to organise a scientific, technical or challenge-led TinyML event in the UK.
Eiman Kanjo and Mustafa Aslanov introduce Node Learning, a decentralised learning paradigm in which intelligence resides at individual edge nodes and develops through selective peer interaction. Nodes learn continuously from local data, retain their own model state and exchange learned knowledge when collaboration is beneficial.
Read the paperA new perspective by Eiman Kanjo and Varuna De Silva examines hybrid digital, analogue, photonic and neuromorphic computing from a system-level viewpoint. It argues that future AI hardware should be assessed through end-to-end deployed-system metrics rather than isolated peak TOPS/W figures. The article will be published soon in Neuromorphic Computing and Engineering and is now available as a preprint.
Read the preprint
Watch out for our launch event in 2026

Embedding AI and smart technologies in green spaces to enhance physical and mental health and wellbeing. A new project will seek to introduce cutting-edge AI and smart technologies to green spaces across the UK, helping to redefine how people engage with nature while enhancing visitors’ wellbeing.NTU Press Release.

Watch out for our launch event in 2026