To help companies create solutions that will drive ML and AI development in the UK, Machine Intelligence Garage has secured a range of partners and collaborators that provide best-in-class computation power as well as a network of support and expertise.

There are three partner and collaborator categories.

Cloud Compute Partners

Delivering leading cloud compute power

Hardware & HPC Partners

Offering access to cutting edge hardware and High Performance Compute facilities

Programme Partners

Providing startups with the knowledge, expertise and connections

Amazon invests deeply in artificial intelligence and has done for over 20 years. Machine learning (ML) algorithms drive many of the organisations internal systems. It’s also core to the capabilities its customers experience – from the path optimisation in the fulfilment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, our drone initiative Prime Air, and Amazons new retail experience Amazon Go. This is just the beginning. Amazons mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.

Google Cloud’s AI provides modern machine learning services, with pre-trained models and a service to generate tailored models. The neural net-based ML service has better training performance and increased accuracy compared to other large scale deep learning systems. Major Google applications use Cloud machine learning, including Photos (image search), the Google app (voice search), Translate, and Inbox (Smart Reply). The Google Cloud platform is now available as a cloud service to bring unmatched scale and speed to business applications.

Graphcore is a semiconductor company that develops accelerators for AI and machine learning and has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for machine intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work that until now were deemed unachievable using current technologies. This new work is intended to drive the next great breakthroughs in general machine intelligence.

The company believes that their IPU technology will become the worldwide standard for machine intelligence compute. The performance of their IPU is going to be transformative across all industries and sectors regardless of whether they are engaged in medical research, robotics or the building of autonomous cars.

NVIDIA is a computing company headquartered in Silicon Valley. In 1999, it invented the graphics processing unit (GPU). The GPU started out as an engine for creating 3D graphics in video games and movies. Since then, it’s been adopted for a range of computing tasks that require large amounts of information to be processed in parallel, including a form of artificial intelligence called deep learning.

Today, NVIDIA’s GPU computing platform is used by researchers, startups and businesses worldwide to simulate human intelligence – bringing AI to consumer and enterprise applications and enabling scientific breakthroughs. GPUs act as the brain of computers, robots and autonomous cars that can perceive and understand the world.

In 2017, NVIDIA was ranked #1 in MIT Review’s list of the world’s 50 Smartest Companies, and NVIDIA CEO Jensen Huang was named Fortune Magazine’s Businessperson of the Year.

SpiNNaker is a human brain-inspired hardware platform. It’s one of the first examples of the emerging field of neuromorphic computing, where the architecture of hardware platforms is inspired by that of the brain, and which aim to address the dual goals of understanding brain function and improving the design of intelligent machines.

SpiNNAker has been 20 years in conception and 10 years in construction. This half-million (soon to be a full million) core machine occupies a dozen 19 inch rack cabinets in a specially-built room in the Kilburn Building at the University of Manchester and is available to anyone requesting to run a large-scale real-time brain modelling simulation. Additional, smaller SpiNNaker systems are sold or loaned to other companies and research groups around the world.

EPCC is one of Europe’s premier HPC centres and was founded in 1990. Since its inception, the centre has acted as a focal point for expertise in high performance and novel computing, and more recently in Big Data and High Performance Data Analytics (HPDA).

EPCC is built on three key foundations:

  • The hosting, provision and management of high performance computing (HPC) and data facilities for British and European academia and business
  • Research and consultancy to support the computing activities of those organisations.
  • A unique project-based consultancy activity that provides bespoke novel and high performance software solutions to academia, industry and commerce.

Their staff of over 80 experts provides a range of software development and training services with an increasing focus on large scale data analytics, artificial intelligence and machine learning technologies.

Hartree Centre is part of the Science and Technology Facilities Council and has over 50 years of experience in working with a diverse range of end users in the scientific community. The centre helps scientists embrace High Performance Computing in order to get the maximum value from the data that they create. It was established to make these skills and facilities available for the business community and is set up to support business users who wish to embrace their specialist computing resources particularly in the area of “Big Data”.  This has rapidly evolved into focus areas of Deep / Machine learning, Natural Language Processing and other areas of Data Science including Cognitive Computing.

The centre has a set of world-class and diverse computing architectures that can be utilised in various ways, plus their teams can provide hands on support to help new users embrace HPC or work with more experienced users to tailor access specific to their needs.

Cray combines computation and creativity so pioneers in science, technology, and industry can look beyond the everyday and engineer the unprecedented. From its founding through today, Cray has stood on the frontier of technological change. For visionaries standing on the frontier of AI, Cray’s comprehensive portfolio of advanced computing, storage, data analytics and artificial intelligence solutions give them the power to run AI-related applications of any size in the fastest time possible. Today, AI leaders are using Cray’s machine and deep learning technologies in areas including autonomous technologies, medical imaging, seismic analysis and severe weather prediction. For those who keep asking what if, why not and what’s next, Cray supercomputing technology powers those who aspire to turn insight into application and discovery into disruption.

Go to www.cray.com for more information.

CAP-AI is London’s first A.I. enabling programme focused on stimulating growth in London’s A.I. cluster. Together with Digital Catapult’s Machine Intelligence Garage, CAP-AI also offers opportunities for SME’s to gain top academic talent, straight from the UK’s leading universities and collaborate or research projects specific to the needs of the company, in order to help you grow.

CAP-AI  powers research through:

  • KEEP Programme: Looking to hire an AI expert to move your company forward?  The CAP-AI KEEP programme will help you to define your research area, then find and match you to the most suitable candidate for the role. We also part fund the salary cost so you can pay a decent wage for the best talent.
  • Innovation Internships / Research Collaborations: Got a 12+ week project you would like a post-grad / post -MSc summer intern or MSc dissertation student to focus on? We fund internship costs and match you with candidates with relevant expertise.

At the heart of the north of England’s burgeoning tech economy, Newcastle University’s School of Computing is one of the longest established university computer science departments in the UK. With a focus on computing in the service of people, society and industry, the school’s is among the highest ranked in the country, especially for industrial and societal impact, and has attracted major recent investments to its new £58m home in the city’s Science Central site.  The school has around 1,200 students and has internationally outstanding expertise in scalable computing, systems engineering, cybersecurity and resilience, complex biosystems and human-computer interaction. Uniquely, the school brings together internationally excellent training, research and innovation in data analytics, recognised by its national doctoral training centre in Cloud Computing for Big Data, its forthcoming membership of the Alan Turing Institute, and the new £30m National Innovation Centre for Data.