Understanding AI bias is essential in ensuring accurate operation of machine learning models.
Hear from our Chief Scientific Officer, Steve Taylor, as he talks at the Medical Imaging Convention Virtual event about the use of artificial intelligence and medical imaging to understand disease.
More than a third renting in the 12 months will be first timers Zegami joint venture with Ebbon Group pioneers
We are excited to introduce our new feature – Automated image and data clustering! Besides offering a fascinating representation of the data, it provides some immediate practical benefits such as efficient labelling and rapid outlier detection.
Zegami, the Oxford University data visualisation spin-out, has joined an international team of medical researchers to try and find the
SEA TECHNOLOGY MAGAZINE Great white sharks enjoy what can only be described as a complex relationship with humankind. On one
FINANCIAL TIMES Zegami, a data visualisation spinout from Oxford University, has developed a machine learning tool that aims to diagnose
13th May, 11:00-11:40 BST Zegami has built a tool that could help speed up diagnosis of COVID-19, using a combination
Zegami has developed a new machine learning model using x-rays of Covid-19 infected lungs, artificial intelligence techniques and data visualisation tools that could help medical professionals identify corona virus cases more effectively
Zegami has been appointed by Oxford University researchers at the Oxford Cardiovascular Clinical Research Facility to accelerate research into cardiovascular disease.
Zegami has been collaborating with MRC Weatherall Institute for Molecular Medicines to help clean its data and assist with the training of its machine learning models, specifically around developing a better understanding of which proteins in genes bind, and where they do this in the genome.
TechTribe Oxford talks to co-founder and chief technology officer Roger Noble about Zegami’s recent growth, scale-up plans and Twitter activity during the UK general election.