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Saibre

Saibre Saibre Saibre Saibre

A visionary  business dedicated to developing and 

commercialising biologically inspired machine learning 

Saibre

Saibre Saibre Saibre Saibre

A visionary  business dedicated to developing and 

commercialising biologically inspired machine learning 

About Saibre

About Saibre

Our Activities

About Saibre

Saibre is a visionary business dedicated to developing and commercialising biologically inspired machine learning led by a team of specialists in all aspects of Theoretical Neuroscience and Artificial Intelligence, including Dr.Simon Stringer, who is a Senior Research Fellow and current Lecturer at Oxford University





Our Aim

Our Activities

About Saibre

 Saibre will seek to tackle technical challenges across a range of areas including  Safety & Security | Waste Management | Social Care | Renewable Energy & Data Management | Smart Manufacturing | Real Estate | Environmental.


Saibre is committed to fostering collaboration by bringing together an AI business ecosystem with the aim of developing new AI technologies and start-up businesses.

Our Activities

Our Activities

Our Activities

Research & Development. We are committed to building on 25 years of research & development to understand how the human brain works and replicate it in biologically inspired machine learning.

Commercialisation. We will seek out opportunities where our cutting edge technology can make significant improvements over and above current solutions and develop them in to commercial entities.

Business creation. We create standalone businesses, source best in class people to continue developing and commercialising the business proposition.

Some Research

Dr Simon Stringer has been a research mathematician at Oxford University for the past 30 years. Dr Stringer is also Editor-in-Chief of the leading neural network journal Network: Computation in Neural Systems. Dr Stringer’s research has demonstrated how biologically realistic ‘spiking’ neural network models of brain function provide a way to solve the classic ‘binding problem’ in theoretical neuroscience. This problem concerns how the visual brain can represent not only visual features at every spatial scale across an image, but also the hierarchical binding relationships between these features. These binding mechanisms have been found to significantly enhance the robustness of machine vision systems. The research papers are attached below.

Paper 1 - HFB in spiking neural networks (pdf)Download
Paper 2 - HFB in spiking neural networks (pdf)Download
Paper 3 - HFB in convolutional neural networks (pdf)Download

Our Saibre Partners

We will be announcing our Saibre Partners over the coming weeks. There will a mix of corporate businesses, enterprise organisations, research institutions & groups, industry trade bodies and technology investment funds. 

Our Events

  We are currently curating an events programme which will consist of open events, special invitation dinners and venture meetings. 


Each of the sectors we plan to cover, such as   

security, environment, social care, real estate and transport to social care, waste management & recycling, environment, transport, entertainment, and health & fitness will have a dedicated events programme.


We will publish the events as they become available through the website and via our social media channels.



Contact Us

Questions or Comments?

If you would like to learn more about us please contact stevehutton@saibre.ai 





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