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


Whitepaper

患者モニタリングシステムの未来

19th November 2019

患者管理にはモニタリングが不可欠です。モニタリングで得られる断続的かつ継続的な情報は、様々な用途で使用されます。病態を明確にしたり、治療方法を患者さんや関係者に説明したり、その後の治療が順調かどうか判断したりすることができます。

  • 機械学習&AI
  • コネクティビティ&IoT
  • デジタルヘルス
  • デジタルセキュリティー
  • デジタルサービス
  • ヒューマンファクター
  • 製品の実現
  • センシング
  • サービスデザイン
  • ユーザーエクスペリエンス
Press release

Verumを発表:医療提供を新たにするプラットフォーム

27th March 2019

Verumは、遠隔で患者を監視し、AIを活用した病状予測を提供します。ストレスによる影響をなくすことで、臨床試験の効率性を切り開きます。

Press release

Mamut:アグリテック分野の自律型ロボット

26th March 2019

Mamutは農地を調査し、作物の健康と収穫高の詳細情報を大量に収集します。データ収集を自動化することで、Mamutは食物生産を新たに効率化し、生産者は収穫高を予測し、最適化することができます。

Press release

Turbo Clean:業務厨房でもっとも不人気な仕事に取り組む

27th March 2019

Turbo Cleanは、食品トレーの清掃と、汚れた食器の洗浄工程を自動化します。AIとロボット技術を組み合わせたTurbo Cleanは、多国籍配膳業者のために開発されました。

We can help you achieve the impossible