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
캠브리지 컨설턴트와 웨이맵은 대중교통 중심지와 같은 복잡한 실내 공간 안에서 시각 장애인들에게 길을 안내하는 혁신적인 스마트폰 서비스를 개발하였다.
첨단 운전자 보조 시스템 ADAS는 자동화 시장에서 가장 빠르게 성장하고 있는 기술 분야 중 하나로서, 자율주행 자동차 시대의 포문을 열었습니다. ADAS의 가장 핵심 기술 요소인 인공지능(AI)은 실시간 인지, ...
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캠브리지 컨설턴트는 최대 규모의 위성 기술 향상 프로젝트의 일환으로서 지상 기반의 장치 및 인프라의 핵심 기술을 개발하는 등 이리디움의 오랜 기술 파트너사로 활약하고 있다.
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.
We can help you achieve the impossible