Artificial Intelligence (AI) is destined to transform our society, affecting every aspect of our lives. However, a key bottleneck towards the proliferation of the technology is the lack of efficient hardware that will allow us to embed AI everywhere – well beyond the cloud’s reach. Up until now, the processing and storage of data in electronics has relied on assemblies of vast numbers of transistors that have got smaller and smaller to meet the increasing demands of modern societies, but have nowadays reached their physical limits. A novel nanoelectronic technology, known as the memristor, proclaims to hold the key to a new era in electronics and AI, being both smaller and simpler in form than transistors, low- energy, and with the ability to retain data by ‘remembering’ the amount of charge that has passed through them – akin to the behaviour of synaptic connections in the human brain. In this keynote Professor Prodromakis will present the attributes of memristive technologies that make this emerging technology attractive for a variety of applications – ranging from bio-inspired memories to compressing sensing and even embedding “AI on chip”.