Impact


Machine learning is at the core of a new wave of artificial intelligence applications limited only by our imagination.

New algorithmic approaches, recent jumps in processing power and large training data sets generated by internet users mean that, for the first time, machines can learn to solve useful problems without explicit programming.

Infinite possibilities

We’re working at the frontier of this vital, transformative technology, developing systems that leverage deep learning techniques to achieve unprecedented performance in a huge range of applications.

From detecting anomalies and attacks in networks and learning to control legacy systems to high-performance audio and image processing and interpretation, optimising infrastructure deployment and natural communication with humans, the possibilities are endless.

Welcome to the Digital Greenhouse

The Digital Greenhouse is a purpose-built facility designed for discovering, developing and testing machine learning approaches in a fast, secure environment.

Inspired by botanical sciences, our team ‘grows’ hundreds of strains of models to understand where the richest pickings are to be found – beyond the confines of ordinary software development methodologies. New algorithmic hopefuls are assessed against long-standing commercial and industrial challenges, such as optimising the deployment of cellular infrastructure or detecting anomalies on a manufacturing line.

State-of-the-art compute resource

The Digital Greenhouse runs on high-performance computing based around NVIDIA’s DGX-1 Deep Learning Supercomputer and other GPU- and FPGA-accelerated servers, providing petaflop-scale compute on-site.

This links to petabyte-scale local storage, project-specific clouds and our continuous integration systems. When our organically grown machine learning is ready, we can export models easily to customers’ own compute facilities or the cloud.

Experience


Versatility and breadth

Our machine learning expertise spans older, established techniques such as Bayesian inference and support vector machines, through to the latest advances in deep learning, generative networks, natural language processing and unsupervised learning.

We can design, develop and deploy sophisticated bespoke machine learning systems from the ground up or work with third-party services and platforms. Particular specialities include real-time/low-latency processing at the network edge, lower power silicon design for machine learning and tools that allow deep learning to be trained effectively with much smaller datasets than is typically believed possible.

Interested in joining us? 

Tech, tools & facilities


Digital Greenhouse
 

Digital Greenhouse

The Digital Greenhouse is our purpose-built AI research facility, specifically designed to discover, develop and test machine learning approaches in a fast, secure environment. The facility features an NVIDIA DGX-1 Deep Learning Supercomputer, a bank of machine learning computers, petabyte local storage and many teraflops of dedicated compute power.

Case studies


Case study

Analog devices smart car park monitoring

Paving the way for low-cost, real-time sensing for smart buildings and smart cities, using machine vision and a low-cost processing platform

 

Pick of the bunch

Nature doesn’t provide blueprints, which are why our robot system can cope with handling all kinds of different fruit – and can even sort red apples from green ones.

 

The Aficionado

We set ourselves the challenge of creating a machine learning system that could address the infinitely complex world of music. The result is The Aficionado.

News & insights


Whitepaper

The future of vertical farming: the intelligent ecosystem

12th March 2019

Vertical farming promises a step change in production density, providing significant efficiency savings with the additional benefit of improved product quality. Vertical farming also presents the only viable option for growing crops within urban environments...

  • Innovation management
  • Machine learning & AI
  • Mechanical engineering
  • Robotics
  • Sensing
Report

Link quality prediction: delivering better service performance and improved network efficiency with predictive network and service characterisation

26th February 2019

We have developed an independent view of the potential use cases for Intel’s Link Quality Prediction (LQP) technology. Intel’s Link Quality Prediction (LQP) technology uses machine learning techniques and a rich set of historical and real-time data feeds...

  • Data science & analytics
  • Machine learning & AI
  • Radio systems
  • Strategic advice
Report

Identifying breakthrough innovations that will transform the supply chain

22nd February 2019

Products are incorporating increasingly complex technology, putting greater pressure on the supply chain. As a result, gaps are forming and the risk to reputations and revenues is growing through issues such as...

  • Connectivity & IoT
  • Data science & analytics
  • Electronics & ASICs
  • Machine learning & AI
  • Robotics
  • Sensing
  • Tracking & location
Whitepaper

Extracting value from e-waste

24th July 2018

Year on year we’re producing more and more waste electronics – e-waste. Recovering the valuable materials embedded in e-waste will become significantly more important. At present this is a highly manual process...

  • Innovation management
  • Machine learning & AI
  • Sensing

Events


Event

TU Automotive Detroit

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Suburban Collection Showplace, Novi, Detroit, USA

TU-Automotive Detroit is the world's largest auto tech conference and exhibition, shaping the future of connected auto mobility.

Event

Silicon Valley AgTech Conference

13th May 2019
Santa Clara Convention Center, CA, USA

We’re pleased to be gold sponsors of the Silicon Valley AgTech Conference; we’ll be showcasing our latest developments in AI-enhanced machine vision and our autonomous data collection platform.

Event

Connected Britain 2019

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Business Design Centre, London, UK

Experts from across Cambridge Consultants will be leading discussions at Connected Britain - the largest gathering of connectivity professionals in the UK.

Event

Pharmaceutical R&D Informatics Summit 2019

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TBC, Vienna, Austria

For the second year in a row we will attend and be part of the Pharmaceutical R&D Informatics Summit programme. At this year’s event, Jaquie Finn, Head of Digital Health, will present the upcoming transformation of clinical trials and how this can be achieved.

We can help you achieve the impossible