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.

News & insights


見解

テクノロジーで住宅部門におけるCO2削減を加速

26th May 2020

英国政府は2020年代半ばまでに年間30万戸の住宅建設に取り組んでいますが、気候変動法は2030年までに新しい建物による温室効果ガス排出量を半減しなければならないと定めています。

  • 機械学習&AI
  • 流体力学&熱力学
見解

AIを活用した産業用IoTへの道のり

15th May 2020

データ・AI・IoTは、多くの産業で大きなメリットをもたらしますが、ビジネスにおいて、どこで、またどのように価値を最大化できるのでしょうか。

  • 機械学習&AI
  • クラウド/スケーラビリティ
  • コネクティビティ&IoT
  • デジタルサービス
見解

新型コロナウイルス - 生産性とウエルネスを支えるツール

13th May 2020

『WFH(Work From Home / 在宅勤務)』は今やお馴染みの言葉となりました。しかしパンデミックが起こる前から、リモートワークは増加傾向にありました。2019年には英国における従業員の約5%が主に在宅で仕事をしており、30%は在宅勤務を経験しています。リモートワークのメリットとして、生産的な作業時間の増加、オフィスでありがちな仕事を中断する割り込みの減少、柔軟性の向上などが挙げられます。

  • 機械学習&AI
  • デジタルサービス
  • ヒューマンファクター
  • イノベーションマネジメント
  • 戦略的アドバイス
見解

新型コロナウイルスの論点 ~パンデミック後の革新的な世界への対応策を具体化

2nd June 2020

世界は危機に瀕しています。国、政府、企業、家族のある方、独身の方、また引きこもりの状態にある方でも、明日生きていることは誰にとっても最優先事項です。しかし、いつの世でも必要は発明の大いなる母です。

  • 機械学習&AI
  • デジタルサービス
  • ヒューマンファクター
  • イノベーションマネジメント
  • 戦略的アドバイス

We can help you achieve the impossible