Saibre
A visionary business dedicated to developing and
commercialising biologically inspired machine learning
Saibre
A visionary business dedicated to developing and
commercialising biologically inspired machine learning
A visionary business dedicated to developing and
commercialising biologically inspired machine learning
A visionary business dedicated to developing and
commercialising biologically inspired machine learning
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
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.
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.
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.
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.
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.