EIRA caught up with Outfield Technology and the University of East Anglia to find out how access to funding brought about a unique collaboration to develop a colour imaging pipeline for crop management services.
Artificial Intelligence
Collaboration between University of Essex and Profusion creates leading edge AI for targeted marketing
The University of Essex and Profusion test the usability of a smart AI powered marketing product to enable greater repeat business for charities and retailers.
Using Machine Learning to discover what healthcare professionals really think
EIRA supports academics from the University of Kent on the development and use of a machine learning prototype to improve productivity and accuracy in the cleansing of conversations of Health Care Provider profiles on Twitter to gain insights into issues related to health care.
Applying artificial intelligence to predict faults in offshore high voltage network
UEA academics are exploring AI techniques, based on high resolution IED data, to identify anomalies and predict potential cable faults in high voltage windfarm networks.
Colour Imaging Pipeline for Orchard Aerial Surveys
Outfield Technologies is an agri-tech startup based in Cambridge that is developing applications for drone and imagery recognition systems in managing fruit crops.
Innovation Month: Artificial Intelligence – First steps to productivity
This AI webinar will focus on a range of case studies across some broad topics including Health & Education, Environmental Projects and Research & Innovation.
Artificial Intelligence for Visual Arts and Media – a Creative Industries Showcase
Join Digital Catapult at this online creative industries showcase as they demonstrate the impact and learnings that AI offers the sector.
Manufacturing Technology Centre’s Virtual Conference on Artificial Intelligence
The Manufacturing Technology Centre (MTC) will be exploring what the future holds for artificial intelligence and business intelligence.
Applying machine learning algorithms for the ‘Mature Movers’ physical health, exercise and wellbeing framework
Vitality Hub worked with an academic from the University of Kent to identify a machine learning algorithm that could automate the grouping of Mature Movers clients to design personalised programmes for them.
Automated Detection of Gesture and Facial Expression
AMA worked with UEA academics to develop AI tools that can automatically detect facial expressions and gestures for use in online learning.