In this interview with David Smith, Developer Advocate at Microsoft, our CEO Roger Noble explains how Zegami collaborated with the
Stronger Together interview with Microsoft
Machine Learning
Roger Noble and Steve Taylor interviewed by Oxford Investment Consultants
Join OIC Principal and CFO Tania Wilson interview our CEO Roger Noble and CSO Steve Taylor.
Data firm Zegami joins project to find cure for ME
Zegami, the Oxford University data visualisation spin-out, has joined an international team of medical researchers to try and find the
Webinar: Analysing X-Rays For COVID-19 Using AI
13th May, 11:00-11:40 BST Zegami has built a tool that could help speed up diagnosis of COVID-19, using a combination
Using AI to speed up COVID-19 diagnosis
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
Colour By Column in Zegami
Our new Colour by Column feature is a powerful new dimension to visual data exploration in Zegami, enabling richer views, which reveal more of the underlying patterns in your data.
Oxford’s MRC Weatherall Institute for Molecular Medicines Partners with Data Visualization Firm on Machine Learning
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.
Can you see the blind spots in your machine learning?
Looking back at the pace of innovation over the last 10 years it becomes increasingly difficult to imagine a world
Hyperparameter tuning with Zegami
Reinforcement learning is a type of machine learning often applied to problems involving indirect rewards – that is, in which
Harnessing the data tsunami
When it comes to both business and research, having more data ought to mean having more information, which should in
Machine learning ‘causing science crisis’
The recent post about the reproducibility crisis in science is, to someone who works in science, not big news. Difficulty
Accessible Machine Learning and Annotation with Zegami
There is an exceptionally common problem in business and research. Organisations sit upon vast veins of untapped gold, but lack
