Description

We are the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery). The Network+ is funded by EPSRC and hosted by the University of Southampton and aims to bring together researchers looking to show how cutting edge artificial and augmented intelligence technologies can be used to push the boundaries of scientific discovery. We launched in December 2018, and this conference marks the end of our first year. This is a two day event with a mixture of keynote talks from experts in the different areas of AI for Scientific Discovery, and discussions around different research areas. There will be dedicated time for networking and we will be implementing a smart badge system whereby attendees can mark their badges according to whether they are looking for a collaborator, employment, job candidates, PhD students etc. We will report on the activities of AI3SD over the last year, including the workhops and hackathons we have run and attended, and there will be an opportunity to hear from the projects we funded in AI3SD-FundingCall1. On the evening of the 18th there will be drinks and networking in the Winchester Science Centre followed by a pre dinner talk by famous Science Communicator Steve Mould! This will be followed by a formal conference dinner at the Holiday Inn.

For details on keynote speaker biographics and abstracts please see the AI3SD Network+ Conference 2019 Webpage.

If you wish to submit a poster (for presentation in Session 4) or a talk (for presentation in Session 6) please fill in our AI3SD 2019 Poster Submission Form or our AI3SD 2019 Abstract Submission Form. The deadline for oral submissions is the 6th October at Midnight, and for posters the 1st November at midnight and we will send out notification of the accepted talks by the 7th October, and the accepted posters by the 2nd November.

Invited Keynote Speakers

• Dr Andrew Senior - DeepMind

• Professor Tim Albrecht - University of Birmingham

• Professor Nigel Clarke - University of Sheffield

• Dr Lucy Colwell - University of Cambridge

• Dr Olga Egorova - University of Southampton

• Professor Juan P. Garrahan - University of Nottingham

• Dr Roohollah Hafizi - University of Southampton

• Professor Brian Hayden - University of Southampton

• Professor Ross King - University of Manchester

• Dr Reinhard Maurer - University of Warwick

• Professor John Shawe-Taylor - University College London

• Professor Matthew Todd - University College London

• Dr Richard Tomsett - IBM

• Professor David Yaron - Carnegie Mellon University

Selected Submitted Speakers:

• Dr Vitaliy Kurlin - University of Liverpool

• Dr Benedict Irwin - Optibrium

• Miloslav Torda - Leverhulme

• Dr Nicola Knight - University of Southampton

• Dr James Cumby - University of Edinburgh

Draft Programme

Day 1

- Optional Ethics & AI Workshop [Holiday Inn]

• 09:00-09:30: Workshop Registration & Coffee

• 09:30-11:30: Workshop

- Main Conference [Holiday Inn]

• 11:00 – 11:30: Registration & Coffee


• 11:30 – 12:00: Introduction & Welcome


• 12:00 – 12:30: Session 1 - AI3SD Network Retrospective – What have we done in 2019 - Professor Jeremy Frey


• 12:30 – 13:30: Lunch + Networking


• 13:30 – 14:00: Keynote - Professor John Shawe-Taylor

• 14:00 - 15:30: Session 2: AI, Molecules & Materials

• 14:00 – 14:30: Data driven models that predict protein function from sequence - Dr Lucy Colwell


• 14:30 – 15:00: Materials Development in the Energy and Electronics Sectors through Combinatorial Synthesis, High-Throughput Screening and Machine Learning – Professor Brian Hayden


• 15:00 – 15:30: Discussion Session


• 15:30 - 15:45: Tea & Coffee + Networking

• 15:45 – 17:00: Session 3 - Network funded projects interim reports


• 15:45 – 16:10: Predicting the Activity of Drug Candidates where there is No Target - Professor Matthew Todd


• 16:10 – 16:35: 'Next-next' Generation Quantum DNA Sequencing with Chemical Surface Design and Capsule Nets - Professor Tim Albrecht


• 16:35 – 17:00: Deep Learning Enhanced Quantum Chemistry: Pushing the limits of Materials Discovery - Dr Reinhard J. Maurer


- Evening Activities [Winchester Science Centre]

• 17:15 – 19:00: Drinks & Networking in the Science Centre

• 19:00 – 20:00: Illusions & How the brain works by Steve Mould

- Dinner [Holiday Inn]

• 20:15 – 22:00: Dinner

• 22:00: End of Day 1

Day 2 [Holiday Inn]

• 08:30 - 09:00 Tea & Coffee

• 09:00 – 09:30: Review of AI across UKRI – Dr Anna Angus-Smyth


• 09:30 - 10:00: Explainable AI and Scientific Discovery - Dr Richard Tomsett

• 10:00 – 10:30: AlphaFold: Improved protein structure prediction using potentials from deep learning - Dr Andrew Senior

• 10:30 – 11:00: Tea & Coffee Break + Networking


• 11:00 – 11:30: Non-equilibrium Physics and Machine Learning – Professor Juan P. Garrahan

• 11:30 – 12:00: Deep Machine Learning of Quantum Chemical Hamiltonians – Professor David Yaron

• 12:00 – 12:30: Session 4: Flash Talks for Online Posters


• Ontologies for Chemistry – Dr Colin Batchelor

• The Physical Sciences Data-Science Service (PSDS) – Dr Nicola Knight

• Translation Level Regulation of Cellular Protein Concentrations – Pratheeba Jeyananthan

• Machine Learning with Coarse-Grained Molecules to Determine Thermodynamic Properties – Kezheng Zhu

• Saliency Map on Cnns for Protein Secondary Structure Prediction – Guillermo Romero Moreno

• 12:30 - 13:30: Lunch & Networking


• 13:30 – 15:00: Session 5 – Talks from EPSRC AI Feasibility studies


• 13:30 – 14:00: Machine Learning for Modelling Microstructure Evolution – Professor Nigel Clarke


• 14:00 – 14:30: The Automation of Science: Robot Scientists for Chemistry and Biology – Professor Ross King

• 14:30 – 15:00: Multi-fidelity Statistical Learning Approach for Organic Molecular Crystal Structure Prediction - Dr Roohollah Hafizi & Dr Olga Egorova


• 15:00 – 15:30: Tea & Coffee Break + Networking


• 15:30 – 17:10: Session 6 – Contributed Talks


• 15:30 – 15:50: Isometric classifications of periodic crystals - Dr Vitaliy Kurlin

• 15:50 – 16:10: Practical applications of deep learning to imputation of drug discovery data: Dr Benedict Irwin

• 16:10 – 16:30: Dense periodic packings in the light of crystal structure prediction - Miloslav Torda

• 16:30 - 16:50: Data Science and the Physical Sciences Data-Science Service - Dr Nicola Knight

• 16:50 – 17:10: Ellipsoids as a new descriptor for materials - Dr James Cumby

• 17:10 – 17:30: Summing up and end of conference


Evening Activities on the 18th

Our evening activities will begin with drinks and networking in the Winchester Science Centre. There will be a free drink on arrival, and the top floor of the science centre has been reserved for conference attendees to view and interact with the displays. This will be followed by a fascinating pre dinner talk by famous Science Communicator Steve Mould who will be talking on Illusions and How the Brain works. This will be followed by a formal conference dinner back at the Holiday Inn.

Accommodation

We have reserved a number of rooms on the nights of the 17th and 18th of November at the Winchester Holiday Inn for conference attendees at a rate of £100. You will be able to ring up and book one of these rooms up to the 7th October, upon which they will be released and anybody looking to book a room after this point will be quoted the current selling rate. Please quote the University of Southampton and the 18th November when you ring up to book. The details for the Winchester Holiday Inn can be found here.

Travel

• By Car - The Winchester Holiday Inn Website has driving directions detailed here, and there is complimentary onsite parking for all guests.
  

• By Plane - The nearest Airport is Southampton Airport, and the driving directions on the Winchester Holiday Inn Website include directions from the airport.

• By Train - The nearest Train Station is Winchester Train Station and the hotel is a 10 minute taxi or 20 minute Bus from the Station.

• By Bus - From the Train Station the Kings City 1, 3 and 5 Busses will take you to the Bus Station where you can get the 64 Bus going to Alton (from The Broadway Stand 5) which will take you directly to the Winchester Science Centre which is just across from the Winchester Holiday Inn.

Mailing List

To become part of the AI3SD Network+, join our mailing list by sending an email to: listserv@jiscmail.ac.uk

Subject: Subscribe
Message: SUBSCRIBE AI3SD Firstname Lastname
Or go to https://www.jiscmail.ac.uk/AI3SD

Network Social Media

• Email - info@ai3sd.org

• Twitter - @AISciNet

• LinkedIn - https://www.linkedin.com/in/ai3sd
  

• LinkedIn Interest Group - AI3 Science Network Interest Group

1. Who should attend?
   Anyone with an interest in Artificial Intelligence, Augmented Intelligence, Automated Investigations, Machine Learning, Scientific Discovery, Materials Discovery, and the Philosophical and Ethical Implications of Artificial Intelligence. AI3SD includes members from academia, industry and government and we welcome new members from each of these sectors to add to our growing Network+ so that we can form new interdiscplinary partnerships and work together to futher the field of scientific discovery using AI techniques.

2. What will I get out of it?
   You will be able to network with likeminded people who have research interests that complement yours. You will find out about the work our Network+ has done over the past year (including funded projects, conferences, workshops, and hackathons) and hear about the opportunities we have available for 2020.

3. What are the aims of the Conference?
   This conference is aiming to help the Network+ to drive progress in the areas of AI for Scientific Discovery and facilitate collaboration by introducing people to make new interdisciplinary teams, and to produce new grant applications. To achieve this we may commission literature reviews, papers, or small scale investigations to test out new ideas. We welcome ideas and suggestions about how to go forward in this area and how best to achieve our aims. This conference will also report on the progress the Network+ has made over the last year so that current and new members can see what has been achieved and contribute to discussions about the activities of the Network+ in 2020.

4. What are the themes of the Conference?
   The main themes addressed in this conference are AI, Molecules, & Materials, and the current state and recent advancements in AI and Machine Learning. Alongside these will be contributed talks on research relevant to AI3SD, and reports on pilot projects funded by or relevant to AI3SD.