We work to increase opportunities for companies to interact with researchers from the University – a conversation can often spark new innovative ideas.
Join us for this space technologies webinar. Dive into the latest advancements in space technologies from the universities of Edinburgh, Glasgow and St Andrews. Don't miss out on this chance to explore the final frontier from your own home!
2-3pm, 18 August 2026
MachLab Rocket Test Facility – Patrick Harkness, University of Glasgow.
Soft Robotics for Hard Challenges – Karen Donaldson, University of Edinburgh.
Ultra-compact feedhorn antennas for cubesat microwave payloads – Duncan Robertson, University of St Andrews.
Is your company active in the space sector, and are you facing a
technical challenge that could benefit from academic expertise?
Researchers from five of Scotland’s leading universities are ready to
help you generate innovative solutions at AIMday Space Technologies.
Join us on 27 October at The Studio in Glasgow or online and speak to academics from the University of Edinburgh, University of Glasgow, Heriot-Watt University, University of St Andrews and University of Strathclyde, who have the relevant expertise and are motivated to work on your challenge.
Register by submitting up to three challenges relating to any stage in the value chain: upstream, midstream/ground and in‑orbit services, downstream space‑enabled solutions, or cross‑cutting enabling technologies.
Challenge deadline: 2 September 2026.
Embeddings are continuous vector representations of entities, such as words or nodes, perhaps most widely known for their role in modern AI systems such as large language models. In this webinar from December 2024, Professor Patrick Rubin-Delanchy, Chair of Statistical Learning at the University of Edinburgh, will consider a different goal, which is facilitating statistical analysis, and the creation of knowledge.
An embedding is an instrument which allows us to observe complex, unstructured, or otherwise intractable data, in a way that we can use. In embeddings, classical (e.g. Gaussian) statistical models are tenable; concepts like similarity, or trend, have a ‘shape’; abstract notions such as political opinion, the health of a patient, the function of a cell, can be made geometric and measurable; and we can uncover truths that could have seemed completely absent from the unprocessed data. He will illustrate these points with a new theory connecting statistical models, embeddings and the manifold hypothesis, and with motivating problems in science, security, and recent work with Southmead Hospital at Bristol.
AI, data science and digital technologies are unique areas of strength for the University of Edinburgh. The University was the first place to conduct AI research in Europe and today hosts one of the largest Computing departments in Europe and the UK’s leading centre of supercomputing and data science expertise.
In this webinar from October 2024, Professor Themis Prodromakis, Regius Chair of Engineering, and Emily Lekkas, Program Director in AI at Edinburgh Innovations, share some of the leading developments in this field, with a deep dive into AI and semiconductors. Dr Robert Nicol from STMicroelectronics shares his experience of partnering with the University.
Almost 200 people from industry and academia came together on 13 June 2024 for Edinburgh Innovations’ annual Industry Showcase and Dinner, on the theme of health technologies.
The Digital Frontiers Showcase celebrates the fact that 2023 marks the sixtieth anniversary of Computer Science and Artificial Intelligence activities at the University of Edinburgh.
The Sustainability and Circular Economy Showcase highlighted the University of Edinburgh’s world-class expertise. Keynote speakers presented the latest research from across the Schools of Engineering, Chemistry, Biological Sciences and the Business School. Here are the highlights of the day!
