At CEF we think it's important to give back to the community.
As part of our commitment to inclusivity we have a specially targeted portfolio of activities to ensure that pupils have the opportunity for support, regardless of their background or situation. By working closely with teaching staff, we are able to focus that support specifically where it is needed through our dedicated outreach programmes. We deliver our activities externally in schools and colleges.
STEM@Home
During the 2020 summer lockdown we got together and filmed several lessons for children aged between 8 and 11. We uploaded the videos to our YouTube channel and promoted them to local schools.
In October, our activity was noted by the Royal Academy of Engineering and subsequently shared with over 200 national schools.
Nanotechnology – St John's Primary School
In 2019 we visited St John's Primary school to teach an action packed lesson in Nanotechology and hopefully inspire the scientists of the future.
You can also watch this video on YouTube.
AI Taxonomy
AI taxonomy describes the AI superstructure in terms of layers of abstraction, in order to manage the complexity of coordination across such a vast field.
The development of Artificial intelligence (AI) is a strategic priority for the UK government. This has been accompanied by significant investment in AI capabilities including the creation of the Office for Artificial Intelligence, establishing a National Artificial Intelligence Laboratory, increasing AI skills capabilities and funding for the UKRI Strategic Priority Fund on Trustworthy Autonomous Systems.
Across all of these initiatives, investments are targeting different components of the AI landscape. To maximise the rate of discovery across AI, efforts in all components have to be coordinated and co-optimised.
In order to manage the complexity of coordination across such a vast field, an AI taxonomy that describes the AI superstructure in terms of layers of abstraction is proposed. The aim is that this enables researchers, developers, and policymakers to understand where they are intervening within the wider system and encourages consideration of the implications of design decisions at other layers. The taxonomy is designed to provide a common language and awareness of the key, coarse-grain facets of AI to enable clearer communication across the system.
