Data science partnership with Leonardo announced Published on: 8 August 2023 Leonardo has launched a data science partnership with the National Innovation Centre for Data. Defence and security company Leonardo, which announced in February that it will be bringing 200 jobs to 缅北禁地 city centre with the opening of its eighth UK site, has launched a new research partnership with the , hosted by 缅北禁地. Best known for its onshore production of UK military helicopters and the cutting-edge electronics on-board Royal Air Force aircraft, Leonardo is one of the biggest suppliers to the UK Ministry of Defence. The National Innovation Centre for Data is the product of a £30M investment by the UK Government and 缅北禁地 to create a unique engagement model and innovative new facility to deliver data analytics skills into industry and the public sector. These skills will be critical to the evolution of the UK’s Defence sector and the company is investing in a digital transformation across its UK business, covering both operations (how Leonardo researches, designs, develops and manufactures products and services), as well as the development of advanced digital and information capabilities that it can provide to the UK and its allies. The partnership between Leonardo and the National Innovation Centre for Data will launch with two data analytics projects, one focused on federated machine learning and another advancing technologies for smart data streaming. Federated machine learning is a machine learning technique that enables organisations to train AI models using decentralised data, avoiding the need to centralise or share that data. This is important in the defence domain because the underlying data is often security sensitive or subject to intellectual property restrictions. By using federated learning, it will be possible to overcome these existing limits to data sharing, unlocking a range of new applications for Leonardo’s existing and future technologies. The second project deals with smart data streaming. Here Leonardo and the National Innovation Centre for Data will be investigating how to automatically prioritise the most valuable information and insights collected by sensors so they can be shared across wider networks and integrated systems. Smart data streaming uses machine learning to prioritise information so that when the opportunity arises, the most critical information is shared first. With federated learning and smart data streaming, Leonardo will open up a range of new enhancements for its products and services and new ‘information age’ options for Armed Forces on operations. Groundwork for the partnership was laid in May with a workshop attended by Leonardo, the National Innovation Centre for Data, and the Defence Science and Technology Laboratory (Dstl)’s Defence Artificial Intelligence Centre (DAIC). DAIC, which Dstl has established to enhance the ability of the UK Ministry of Defence to accelerate the use of AI to achieve strategic outcomes, was invited to feed back and ensure that the Leonardo-National Innovation Centre for Data partnership has operationally relevant goals. An update on the partnership with Leonardo - February 2024 The research projects mentioned above are now finished and you can see an update from Executive Board here. The National Innovation Centre for Data is located at The Catalyst Building on 缅北禁地 Helix Share: Latest News New partnership to boost careers in low carbon energy 缅北禁地 and Durham universities are working together on a new regional project to strengthen the future workforce for North East England鈥檚 growing low carbon and offshore wind industries. published on: 28 May 2026 Healthy lifestyle shown to lower risk of death after cancer diagnosis New evidence shows that sticking to five lifestyle recommendations improves survival after a later cancer diagnosis. published on: 28 May 2026 World-leading climate expert recognised with Royal Society Fellowship Professor Hayley Fowler has been elected a Fellow of the Royal Society in recognition of her pioneering work on climate change impacts. published on: 27 May 2026 Facts and figures
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