We would like to invite all of our first year and direct entry students for snacks and refreshments in the Jack Cole Coffee Area tomorrow ( Wednesday 11th September) from 5-6pm.
This is a great opportunity to meet staff and fellow students.
School of Computer Science
WICS Coffee Break is back!
Women in Computer Science is back and are excited to invite you to the first coffee break of the academic year. This is a perfect opportunity for incoming students and returning students to meet each other and academic staff in the School.
Event Details:
- Date: Wednesday 11th September
- Time: 14:00-15:00
- Where: Jack Cole Coffee Area
Chat, coffee and snacks available!
Orientation 2024
We look forward to welcoming all our students to the School for the new academic year.
Details of the events for staff and students scheduled for the week commencing 9th September are in the Computer Science Orientation Programme.
More information on the University Orientation and Induction Events provides students with an overview of the University, and important dates to mark in your calendar.
GAP Days Summer 2024 @ St Andrews
The School of Computer Science hosted this years Summer GAP Days between 26th August and 30th August.
GAP Days are workshops where developers and users with programming experience are invited to influence the future development of [GAP] by initiating and contributing to discussions and coding sprints.
These GAP Days have been special as we celebrated 10 years of the [Digraphs] package as well as 10 years of [GAP Days] (to the week!).
We had a great selection of speakers and attendees from varied backgrounds, which cumulated in the release of the re-vamped GAP webpage, and over 30 new versions of packages!
PhD Viva Success: Di Wu
On behalf of the school, we would like to congratulate Di Wu supervised by Blesson Varghese, who has passed his PhD viva with minor corrections.
Thanks to Professor Graham Kirby who was internal examiner and Dr Chris Anagnostopoulos from Glasgow as external examiner.
Distinguished Lecture series 2024
This years Distinguished Lecture series was delivered yesterday ( Tuesday 12th March) by Professor Neil Lawrence, University of Cambridge
In his talk on, ‘The Atomic Human Understanding Ourselves in the Age of AI’ he gave an overview of where we are now with machine learning solutions, and what challenges we face both in the near and far future. These include the practical application of existing algorithms in the face of the need to explain decision-making, mechanisms for improving the quality and availability of data and dealing with large unstructured datasets.
CS EDI International Snack event
Today the School of Computer Science Equality, Diversity, and Inclusion Committee held an International Snack event. This event aimed to bring together our international staff and students for an informal gathering and share some snacks from around the globe.
100m boost in AI research will propel transformative innovations
£100m boost in AI research will propel transformative innovations – UKRI
We are delighted to participate in the National Edge AI Hub that is funded by UKRI. The Hub comprises 12 universities and numerous industry and public sector organisations. The vision of the Hub is to develop the underlying research to secure the edge of the network using Artifical Intelligence / Machine Learning (AI/ML).
The St Andrews team led by Dr Blesson Varghese will develop fundamental research on making AI/ML algorithms and models to work on extremely small devices in challenging environments for critical decision making.
Dr Varghese said, “We are delighted to be a part of this national initiative and contribute to the vision of making Edge AI a reality for times when it is most needed – mitigating cyber threats on our digital infrastructure”.
Dr Varghese directs the Edge Computing Hub at the University of St Andrews.
Doors Open @ CS, 11th April (10am-4pm)
On 11th April, the School of Computer Science at St Andrews will host our Doors Open event. We will be thrilled to welcome any and all visitors from outwith the School, whether you are locally based, from elsewhere in the UK, or from overseas.
As a rapidly growing school, we are looking to build relationships with new partners and are keen to find out how we can help you, your companies, and/or organisations to solve problems and improve processes.
Our Doors Open Day will have over 60 individual exhibits and activities. Our presenters will be our staff and students, with representation from 1st year undergrad through to PhD students, academic and technical members of staff.
Please register here if you would like to attend to enable us to order sufficient food!
Distinguished Lecture Series: The Atomic Human: Understanding Ourselves in the Age of AI
- Tuesday 12 March
- Booth Lecture Theatre, Medical Sciences Building.
We look forward to welcoming Prof Neil Lawrence, Cambridge who will talk about ‘The Atomic Human: Understanding Ourselves in the Age of AI’.
A vital perspective is missing from the discussions we are having about Artificial Intelligence: what does it mean for our identity?
Our fascination with AI stems from the perceived uniqueness of human intelligence. We believe it is what differentiates us. Fears of AI not only concern how it invades our digital lives but also the implied threat of an intelligence that displaces us from our position at the centre of the world.
Atomism, proposed by Democritus, suggested it was impossible to continue dividing matter down into ever smaller components: eventually, we reach a point where a cut cannot be made (the Greek for uncuttable is ‘atom’). In the same way, by slicing away at the facets of human intelligence that can be replaced by machines, AI uncovers what is left: an indivisible core that is the essence of humanity.
By contrasting our own (evolved, locked-in, embodied) intelligence with the capabilities of machine intelligence through history, The
Atomic Human reveals the technical origins, capabilities, and limitations of AI systems, and how they should be wielded. Not just
by the experts, but by ordinary people. Either AI is a tool for us, or we become a tool of AI. Understanding this will enable us to choose
the future we want.
This talk is based on Neil’s forthcoming book to be published with Allen Lane in June 2024. Machine learning solutions, in particular
those based on deep learning methods, form an underpinning of the the current revolution in “artificial intelligence” that has dominated
popular press headlines and is having a significant influence on the wider tech agenda.
In this talk, I will give an overview of where we are now with machine learning solutions, and what challenges we face both in the
near and far future. These include practical application of existing algorithms in the face of the need to explain decision-making,
mechanisms for improving the quality and availability of data, dealing with large unstructured datasets.