Digital Asset Management and AI for Sustainability Monitor
Kent academics explored a range of options for a data asset management system that could utilise machine learning to simplify and automate some business processes.
AI-driven role matching: linking candidates to jobs using machine learning in big structured data
HR GO worked with Kent academics to explore how AI and deep learning could be used to solve the problem of role matching contract staff.
A three day event to engage students to think creatively about issues businesses are facing and develop their employability skills.
Applying Machine Learning Techniques to Improve Seabed Mapping Speed
Producing machine learning algorithms and software to improve existing filter-based software for more automatic seabed mapping.
Understanding User Journeys in the Rentals Market
Lettings agency Dunn&Co worked with UEA academics to research user journeys of an online platform for both agents, landlords and tenants to connect.
Digital Creative Internship with Smart NE
The objective of this internship was to assist SmartNE in the development of marketing materials and capabilities to raise brand awareness.
Fruit to Fuels: Using local fruit waste as a feedstock for biofuel production
Academics from the University of Kent are researching whether locally sourced fruit waste can be used as a sustainable feedstock for the production of butanol.
Graduate start-up business Occumi awarded microfinance grants to expand business reach
Kent start-up, Occumi were awarded EIRA microfinance grants in order to attend industry conferences and increase market reach to gain sales leads.
Assessing Inappropriate Fire Interest Using Virtual Reality Technology
Safe virtual environment technology for assessing dangerous inappropriate interests with fire
Netpark Augmented Reality App
Arts organisation Metal are developing an AR-based artwork to be used in NetPark, the world’s first Digital Art Park based in Chalkwell Park.
Machine learning applied to satellite and weather forecast data
This project investigated the potential of AI techniques, such as machine learning, to improve the forecasting services that could be offered to customers.