To create a sentiment analysis and information extraction platform which will be used as an interpretation device over social media. The goal of the platform is to analyse data to effectively create and predict audience reaction and engagement to Ostereo’s content and release strategies.

To develop and embed an automated end-to-end text mining system based on deep learning and machine learning to automatically assess risk in claim compensations and support consumer legal services by cutting costs and human time while adding value to business intelligence.

To develop, embed and exploit deep video analysis and machine learning to deliver vision based capability for application in waste recycling plants.

"The Innovate funded Prometheus project will develop a fully autonomous robot capable of geo-technical surveys in unknown voids for use in the mining, water infrastructure monitoring and offshore industries. This robot will be able to be automatically deployed and recovered through a standard restricted access bore of 150mm diameter, significantly increasing potential use cases over existing systems. Key demonstrations will be carried out during the project in conjunction with Network Rail - to explore and map mine workings that extend under existing rail infrastructure. Further, applications are also within the water industry with aging water infrastructure. This is presenting major issues to societies, in terms of leakages, burst water mains, flooding, contamination, etc. This is resulting in significant costs to infrastructure providers in terms of fines, legal fees, and complex repairs. The system itself will be designed, built and tested by a consortium led by Headlight -- an SME working with leading edge sensor and data processing technologies. Partners include Callen-Lenz, an SME with expertise in airborne robotic systems development and deployment. They will work closely with the Universities of Manchester, Royal Holloway and Bristol to integrate the latest sensors, control and manufacturing techniques into a truly novel and highly capable platform. This will include sensors and adaptive sensing software provided by both Thales and Headlight. The joint requirements of fully autonomous operation beyond visual line of sight (BVLOS), combined with deployment through a limited access 150-diameter borehole will be demonstrated both in a university lab environment and at key milestone demonstrations in conjunction with Network Rail. This will be an excellent illustration of robotics, autonomy and AI in extreme environments with widespread application. The final system will demonstrate a step change in autonomous capability, highly flexible operation and deployment, meeting a real and existing industrial need for rapid inspection of areas that are difficult to access and complex to navigate."

To develop, embed and exploit advanced manufacturing and collaborative robotics technology for increased productivity and operation of a Manufacturing Plant.

To develop, embed and exploit a novel integrated strategy to design, manufacture and test prototype polymeric components using technological processes and thermosetting materials with tailored properties, for car components with reduced weight and noise characteristics.

To improve spontaneous fermentations, iteration and evolution of all our products, increase production output, refine and target lab analysis for faster and more accurate quality feedback, develop new products with novel yeast strains, and quantify and improve flavour profiles.

To develop, embed and exploit deep learning based waste object detection and recognition capabilities to significantly enhance waste management reporting.

To develop, embed and exploit advanced mathematical modelling and simulation capability to enhance forecasting accuracy and strategic decision making.

Fuel Architecture and Systems Technology (FAST) is a significant collaboration that will develop future Fuel System Technology The collaboration with Eaton, UTC Aerospace, Cobham, Zodiac, Parker, Stanhope-Seta, Cardiff University, Manchester University, The University of Sheffield and Swansea University brings together most of the key worldwide Aviation Fuel System experts. The Project will focus on key Fuel system technologies to meet demanding aircraft and environmental performance targets. The key customer will be the Wing of the Future where the fuel system forms a key part of the wing design and performance target and has critical interdependencies. The project will foster close collaboration between Airbus, Academia and the wider UK supply chain to focus efforts within the UK on developing industry leading aerospace fuel system technology.

Converting and storing renewable energy is one of the most fundamental issues facing our society today. One of the most promising alternatives to fuel fossils is methanol. This fuel can be cheaply and renewably produced from agricultural or municipal waste and as so, it would allow the UK and Europe to reduce its dependence on foreign fuel supplies. But in order to exploit this fuel renewably, we need a new generation of materials that can cheaply and resiliently convert this ful into electrical power. At the centre of new technologies always lie new materials. And so, graphene – a Nobel Prize winning material – is set make a profound impact on the energy market. The project will aim to use graphene in energy conversion and storage with the goal of achieving the holy grail of energy: clean, renewable, scalable and high capacity.