The Alan Turing Institute

This event is open to all, regardless of role, gender or seniority, and will be of particular interest to those working at the intersection of AI and cyber security. In-person spaces are limited and allocated on a first-come, first-served basis. Spotlight speakers If you'd like to present in the spotlight session, please prepare a short abstract describing your talk (up to 200 words) and submit using the registration form below by 21 September.

We are at a moment of technological and geopolitical challenge for the UK. AI is both a source of this challenge and, with a properly ambitious national effort, a powerful means of building a new kind of resilience across the nation. As the UK’s National Institute for AI and data science, the Alan Turing Institute is making it its mission to ensure the UK harnesses AI to strengthen national resilience.

The UK faces a narrowing window of opportunity to strengthen its AI future, unless it acts to secure the systems, infrastructure and expertise most critical to national resilience, according to a new policy briefing published by the Centre for Emerging Technology and Security at the Alan Turing Institute.

A new AI model can monitor satellites and spot anomalies in their behaviour, reducing the risk of in-orbit collisions, according to new research published in the journal Expert Systems. The tool, developed by researchers from the Alan Turing Institute’s Defence AI Research Centre (DARe), is the first AI model to predict anomalies and satellite motion by learning from the way light is reflected off objects in space.

A super El Niño is forming and is expected to be the strongest on record, potentially exceeding the 1877-1878 El Nino which caused widespread famine and 50 million deaths. Early signs for 2027 point to a far warmer year on land and the sea surface, fuelling more disruptive extreme weather with impacts that will be felt across the globe.

We are living in an increasingly congested and contested electronic world. From major shipping channels to dense urban centres, the radio frequency (RF) spectrum is saturated with emissions from navigation radars, telecommunications, and communications devices. In this era of unprecedented electromagnetic spectrum congestion, the ability to distinguish between trains of radar emissions is like trying to isolate a single voice in a crowd of thousands.

Research programmes Defence Artificial Intelligence Research (DARe) The Defence AI Research Centre (DARe) provides strategic advantage for UK Defence and National Security; closely partnering with government, industry and academia to support innovation-driven transformation of UK and Allied capabilities, through targeted development of novel, cutting-edge AI technologies. Defence Artificial Intelligence Research (DARe)

From weather and climate to materials discovery and engineering, many scientific domains rely on models of physical systems. These models help us understand how complex systems behave, from how a storm might develop to how a material might respond under different conditions. For these models to be used in real-world settings, accuracy alone is often not enough. When predictions inform decisions, users also need to know how much confidence to place in them.

Research programmes Defence Artificial Intelligence Research (DARe) The Defence AI Research Centre (DARe) provides strategic advantage for UK Defence and National Security; closely partnering with government, industry and academia to support innovation-driven transformation of UK and Allied capabilities, through targeted development of novel, cutting-edge AI technologies. Defence Artificial Intelligence Research (DARe)

Two patients receiving treatment for a particular disease, like lung cancer, can respond in very different ways. One may benefit significantly while another sees little effect. And often there is no way for a doctor prescribing the treatment to predict this in advance. The Turing-Roche partnership set out to address this challenge to understand why patients can respond so differently to the same treatment and what it would take to better predict this.