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.
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.
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
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
베럼(Verum)은 환자 상태를 원격 모니터링하고 인공 지능(AI) 기반의 질병 예측 서비스를 제공한다. 또한 스트레스 요인이 임상 시험에 미치는 영향을 제거함으로써 임상 시험의 효율성을 배가 시킬 수 있다.
마무트(Mamut)은 작물 재배지를 탐구하여 방대한 양의 작문을 상태 및 수확량에 대한 세부적인 데이터를 수집합니다. 데이터 캡처를 자동화함으로써 마무트 (Mamut)은 작물 생산에 새로운 효율성을 가져다 줄 것이며 재배자는 수익률을 예측하고 최적화 할 수 있습니다.
터보 클린(Turbo Clean)은 쟁반위를 청소하고 더러운 접시를 씻는 과정을 자동화합니다. 인공 지능과 로봇 공학을 결합한 터보 클린(Turbo Clean)은 다국적 케이터링 회사를 위해 개발되었습니다.
양방향산란분포함수(Bidirectional Scatter Distribution Function, 이하 BSDF)를 이용한 세계 최초 피부 정밀 분석 앱이 연구소에서 진행한 수준의 피부 정밀 분석을 제공한다. 리플렉션은 피부의 “광택도”를 측정하여 개인 맞춤형 뷰티 제품을 추천한다.
We can help you achieve the impossible