eResearch Domain: Artificial Intelligence Conference
Date and time
Location
B40 Darwin Building
United KingdomDescription
eReserarch Domain: UCL Artificial Intelligence Conference
This conference is for UCL researchers who develop and apply artificial intelligence to their research from across all the faculties.
Artificial intelligence and the data-driven economy is a ‘Grand Challenge’ identified in the Government’s Industrial Strategy white paper and we expect major private and public sector investment decisions to be made in this area. This conference takes the broadest definition of artificial intelligence and aims to bring together UCL members involved in Fundamental AI research and those who apply these tools to address research challenges in a wide range of fields. This event will complement the Grand Challenge in Transformative Technology's Town Hall which focuses on the 'Social and Ethical Aspects of AI'.
Fundamental AI research leads to the development of novel concepts and tools that will enable machines to perform tasks that are currently not possible to perform. Such as developing new approaches in:
- machine vision, machine learning, machine reading and knowledge representation;
- theoretical algorithmic development and computational statistics,
- incorporation of concepts identified by neuroscientists, psychology and linguistics in studying intelligence
Researchers across UCL apply AI tools to address their research challenges. This event will also provide a forum for researchers across faculties to come together and learn from each other on how they use the different algorithms and AI approaches in three themes:
- Health and wellbeing
- Our World, Our Universe
- Society and Culture
Join us to:
- Gain new perspectives on fundamental artificial intelligence research
- Learn from colleagues who apply AI to challenges in three parallel sessions: "health and wellbeing', 'our world, our universe' and 'culture and society'
- Build your network of colleagues from across UCL's faculties
Agenda
09:30
Registration
10:30
Welcome
eResearch Domain Co-Chairs: Prof Phil Luthert, Jonathan Tennyson
10:35
Feedback from GCTT TownHall event on social and ethical implications of AI
- Jack Stilgoe, Senior Lecturer in Social Studies of Science, UCL Science and Technology Studies.
10:50
Fundamental Research: Developing new AI concepts and tools
- Maneesh Sahani, Professor of Theoretical Neuroscience and Machine Learning, Gatsby Computational Neuroscience Unit
- Sofia Olhede, Professor of Statistics, UCL Institute of Big Data, Dept of Statistics
- John Shawe-Taylor, Professor of Computing Science, UCL Computer Science
12:30
Lunch
13:30
Applying Machine Learning to research challenges that affect society
Learn from colleagues who apply AI to challenges in three parallel sessions
Health and Wellbeing
Our World, Our Universe
Culture and Society
B40 LT, Darwin
B15, Darwin
B05, Darwin
- Pearse Keane, Institute of Ophthalmology, Brain Sciences
- Spiros Denaxas, Institute of Health Informatics, Population Health Sciences
- Lightning talks
- Kate Jones, Biosciences
- Jan-Peter Muller, Mullard Space Science Laboratory
- Lightning talks
- Alissa Goodman, Centre for Longitudinal Studies
- Sean Hanna, The Bartlett School of Architecture
- Lightning talks
15:00
Coffee
15:30
16:10
Presentation by Deepmind
Townhall Discussion: Next steps for the UCL AI community
Networking and wine
Organised by
The UCL eResearch domain brings together the community across UCL who perform theoretical and applied research into computational and data sciences and digital technologies to enhance UCL’s environment for research and teaching in this field. The Domain will increase integration across UCL and provide opportunities to develop new projects, knowledge and expertise.
The applied eResearch areas include, but are not limited to: digital-information systems and policymaking; human–computer interaction; software-systems engineering; astrophysics and remote sensing; climate change and earth observation; finite element analysis and computational fluid dynamics; optimisation, data analysis and molecular dynamics; epidemiology; high-energy physics; organic and pharmaceutical materials simulation; earth-materials simulation; nanoscience and defects simulation; surface science and catalysis simulation; humanities; mathematical sciences; health; biomedical informatics; computational biology; medical imaging; molecular quantum dynamics and electronic structure; and neuroscience.