By using gliff.ai for medical image analysis, the OCTAHEDRON team has saved time in their AI development in four ways….
In Autumn 2021, gliff.ai completed a feasibility study for an anti-counterfeiting imaging artificial intelligence (AI) platform, working in partnership with Durham University and a multinational manufacturer.
The aim of the OCT data project is to create a ground-truth annotated dataset that would be utilised for the future development of fully automated AI tool capable of segmenting and quantifying different features in retina images and scans…
gliff.ai has launched its innovative software platform, specifically designed to assist the development of trustworthy Artificial Intelligence (AI) by addressing the gap for much-needed Machine Learning Operations (MLOps) products.
The use of artificial intelligence in medicine and healthcare is thought to be capable of freeing up large quantities of an expert’s time by undertaking exacting and laborious work, saving significant sums of money, improving diagnostic outcomes and democratising medicine by making the world’s experts available globally inside a computer.
Coded Bias successfully demonstrates why unregulated, ill-thought-out and opaque approaches to developing AI can easily lead to flawed models that may not only discriminate against certain groups of society but also fail drastically to meet the applications’ original objectives.