Our Chief Architect, Olly, talks us through a gap we found when improving our Pachyderm integration in the Adarga Data Science Workbench, and the open-source code we created to plug it; all part of our infrastructure that enables high-velocity Data Science and the creation of our AI software.

Here at Adarga, we make extensive use of Pachyderm within our R&D environment. Our team of data scientists uses it to experiment with new models and flows, as well as running the usual batch of training jobs, etc. Pachyderm gives us confidence that we are keeping careful track of the data we…


Today, Wednesday 23 June, is Reserves Day which every year recognises and honours the work of the Reserve Forces. #SaluteOurForces

©UK MOD Crown Copyright 2020

We currently have four Reservists and a further five Veterans working for the company, so we enthusiastically recognise the valuable contribution that Reservists make to the Armed Forces, to their communities and to the civilian workplace — including Adarga.

For these reasons, we support our staff who are Reservists with time off for public duties, paid leave for Reservist training to enable them to complete their annual training commitment, an in-house Armed Forces Network and an Armed Forces Champion.

We’re…


We have interns working with us each summer at Adarga, but what’s it really like to go from University to working at an AI company?

During my time as a Computer Science student at Bristol University, I’d spent a fair amount of time programming and studying machine learning, and Adarga’s focus on weaving state-of-the-art research into practical applications appealed to me. So, in the summer of 2018, I spent three months as an intern at Adarga’s Bristol office.

It was clear to me from the beginning that this was an opportunity to develop the skills that I wanted to learn…


What are the benefits of network analysis in modelling relationships?

Network analysis is a versatile technique for modelling the relationships within a collection of people, places, or really just about anything.

Networks come in all shapes and sizes, and there are many possible reasons to study them. Depending on the situation, our goal may be to grow and strengthen a network, to disrupt one, or simply to gather information from one to make better informed decisions.

An extremely common use for network-based algorithms is in recommendation systems. Say you have a service where users can watch movies, and you want…


While the potential for natural language processing (NLP) to bring about significant, positive disruption across industries has been widely recognised and its potential impact now much better understood, examples of successful commercial deployments remain surprisingly limited

We would like to explore one of the main reasons for this in this post: delivering successful NLP projects to real-world customers requires expertise and patience.

In 2019, NLP “pipelines” — systems that read and understand textual data, have never been easier to build. …


Machine learning as a discipline has existed since the early 40s with computer scientists using inspiration from neural biology to design rudimentary models that theoretically could be used to imitate the brain. However, these models were restricted by the limited computational power available at the time. Although single neurons could be modelled, any complex neural architecture could not.

Due to advances in computing through Moore’s law, computational power has grown exponentially. This allowed for advancement in many fields of science and computing including machine learning. …


Adarga is thrilled to announce that we have kicked off our Data Science Summer Internship Programme 2021.

Early this year, we opened our internship application process and attended virtual careers fairs at the University of Exeter and the University of Edinburgh, building on our excellent existing academic partnerships, to speak to students across the UK. Despite the challenges of the past year, our outreach led to over 200 applications, and an overwhelming response from the emerging talent coming out of academia today.

For the next 12 weeks, four interns will be joining our world-class product teams to focus on key…


The adoption of a microservices architecture during the early stages of the design of Adarga’s AI products has largely proven to be the right thing to do. It has provided us with many benefits over the more traditional monolithic software development approach, including the ability to clearly separate concerns of our system and to organise our development resources and expertise accordingly. It has also allowed us to integrate disparate technologies and languages using well known network-based protocols rather than often awkward cross-language library-based integrations. Many of these benefits have undoubtedly enabled our development team to deliver faster. These are the…


Deep learning is credited for significant breakthroughs in natural language processing (NLP) tasks such as named entity recognition or coreference resolution. Deep learning techniques have undeniably progressed the state of the art of NLP in the last few years, which makes it very exciting to work in this field. The progress of deep learning approaches has also been supported by the development of software libraries such as TensorFlow or PyTorch, which provide the basic building blocks that make it easy to reproduce research papers and build upon them.

One of the appeals of deep learning is that the machine figures…


Professor John P. Cunningham, Professor of AI at Columbia University and Chair of the Adarga Advisory Board, reflects on a fundamental question: what is true artificial intelligence, and where are we on the path towards it?

As the world celebrates the potential of artificial intelligence and in equal measure fears its potential dangers, it is worthwhile to reflect on a fundamental question: what is true artificial intelligence, and where are we on the path towards it?

Here I will argue that, despite some popular media claims to the contrary, we have made rather little progress towards to the utopian (or…

Adarga Staff

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store