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.

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

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.

 

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.

News & insights


Press release

AI in telecommunications set to secure the ‘Augmented Human’

21st February 2018

Cambridge Consultants today launches a major new report, stating that the telecommunications sector will be an AI pioneer, as many features of 5G and IoT networks will depend on AI to reach maximum potential.

 

Whitepaper

AI: understanding and harnessing the potential

21st February 2018

Our new report provides a recipe for responsible governance of Artificial Intelligence (AI), aimed at combatting fears that deep learning and machine learning are an all-encompassing force taking over industry...

  • Machine learning & AI
  • Robotics
Opinion

Listening to the voice of the consumer

19th February 2018

A person’s voice, with the help of machine learning, can tell us a lot about that person. How can we really understand what the consumer thinks of our product while we are designing it?

  • Data science & analytics
  • Machine learning & AI
  • User Experience (UX)
Opinion

Vlog: AI in farming - personal care for plants

14th February 2018

You may be familiar with the phrase 'Work smarter, not harder', well that applies to agricultural machinery just as much as people... In this video Simon Jordan looks that the technologies that are now making their way...

  • Machine learning & AI
  • Optics
  • Robotics

We can help you achieve the impossible