AI3SD Series: Summer Seminar Series 2020
AI3SD Series: Summer Seminar Series 2020
This is a record of all of the talks from the AI3SD Summer Seminar Series 2020. All of our speakers were invited to be interviewed and where that interview has taken place, the records of the talks listed below also contain links to the related interviews. The following talks took place in this series:
1. Drug Repositioning for COVID-19 - Professor John Overington (Medicines Discovery Catapult) - http://dx.doi.org/10.5258/SOTON/P0046
2. InChI: Measuring the molecules - Professor Jonathan Goodman (University of Cambridge) - https://doi.org/10.5258/SOTON/P0047
3. Design Fiction as a Method, and why we might use it to consider AI - Dr Naomi Jacobs (University of Lancaster) - http://dx.doi.org/10.5258/SOTON/P0048
4. Neural Networks and Explanatory Opacity - Dr Will McNeill (University of Southampton) - http://dx.doi.org/10.5258/SOTON/P0049
5. Dimensionality in Chemistry: Using Multidimensional data for Machine Learning - Dr Ella Gale (University of Bristol) - http://dx.doi.org/10.5258/SOTON/P0050
6. Quantum Computing: A Guide for the Perplexed - Professor Andy Stanford Clark (IBM) - Video available on request (email: info@ai3sd.org)
7. Artificial Intelligence’s new clothes? From General Purpose Technology to Large Technical System - Dr Simone Vannuccini (University of Sussex) & Ms Ekaterina Prytkova (Friedrich Schiller University Jena) - http://dx.doi.org/10.5258/SOTON/P0051
8. Smart Cleaning & COVID-19 - Dr Nicholas Watson (University of Nottingham) - http://dx.doi.org/10.5258/SOTON/P0057
9. The Bluffers Guide to Symbolic AI - Dr Louise Dennis (University of Manchester) - http://dx.doi.org/10.5258/SOTON/P0058
10. Machine Learning for Early Stage Drug Discovery - Professor Charlotte Deane (University of Oxford) - http://dx.doi.org/10.5258/SOTON/P0056
11. Using Artificial Intelligence to Optimise Small-Molecule Drug Design - Dr Nathan Brown (Benevolent AI) - Video not available
12. On the Basis of Brain:Neural–Network–Inspired Changes in General Purpose Chips - Ms Ekaterina Prytkova (Friedrich Schiller University Jena) & Dr Simone Vannuccini (University of Sussex) - http://dx.doi.org/10.5258/SOTON/P0055
13. Supramolecular antimicrobials – the next target for AI/Machine Learning? - Dr Jennifer Hiscock (University of Kent) - http://dx.doi.org/10.5258/SOTON/P0054
14. On the Basis of Brain:Neural–Network–Inspired Changes in General Purpose Chips - Ms Ekaterina Prytkova (Friedrich Schiller University Jena) & Dr Simone Vannuccini (University of Sussex) - http://dx.doi.org/10.5258/SOTON/P0053
15. Supramolecular antimicrobials – the next target for AI/Machine Learning?:Dr Jennifer Hiscock (University of Kent)
16. AI for Science: Transforming Scientific Research:Professor Tony Hey (STFC)
seminar series, AI, Artificial Intelligence, Chemistry, Machine Learning, ML, Drug Discovery, Symbolic AI, Molecules, Antimicrobials, Quantum Computing, Multidimensionality, Data Science, Science, Scientific Research, Neural Networks, Design Fiction, InChI
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
23 September 2020
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Kanza, Samantha
(2020)
AI3SD Series: Summer Seminar Series 2020.
Frey, Jeremy G. and Niranjan, Mahesan
(eds.)
AI3SD Summer Seminar Series 2020, Online, Southampton, United Kingdom.
01 Jul - 23 Sep 2020.
(doi:10.5258/SOTON/AI3SD0181).
Record type:
Conference or Workshop Item
(Other)
Abstract
This is a record of all of the talks from the AI3SD Summer Seminar Series 2020. All of our speakers were invited to be interviewed and where that interview has taken place, the records of the talks listed below also contain links to the related interviews. The following talks took place in this series:
1. Drug Repositioning for COVID-19 - Professor John Overington (Medicines Discovery Catapult) - http://dx.doi.org/10.5258/SOTON/P0046
2. InChI: Measuring the molecules - Professor Jonathan Goodman (University of Cambridge) - https://doi.org/10.5258/SOTON/P0047
3. Design Fiction as a Method, and why we might use it to consider AI - Dr Naomi Jacobs (University of Lancaster) - http://dx.doi.org/10.5258/SOTON/P0048
4. Neural Networks and Explanatory Opacity - Dr Will McNeill (University of Southampton) - http://dx.doi.org/10.5258/SOTON/P0049
5. Dimensionality in Chemistry: Using Multidimensional data for Machine Learning - Dr Ella Gale (University of Bristol) - http://dx.doi.org/10.5258/SOTON/P0050
6. Quantum Computing: A Guide for the Perplexed - Professor Andy Stanford Clark (IBM) - Video available on request (email: info@ai3sd.org)
7. Artificial Intelligence’s new clothes? From General Purpose Technology to Large Technical System - Dr Simone Vannuccini (University of Sussex) & Ms Ekaterina Prytkova (Friedrich Schiller University Jena) - http://dx.doi.org/10.5258/SOTON/P0051
8. Smart Cleaning & COVID-19 - Dr Nicholas Watson (University of Nottingham) - http://dx.doi.org/10.5258/SOTON/P0057
9. The Bluffers Guide to Symbolic AI - Dr Louise Dennis (University of Manchester) - http://dx.doi.org/10.5258/SOTON/P0058
10. Machine Learning for Early Stage Drug Discovery - Professor Charlotte Deane (University of Oxford) - http://dx.doi.org/10.5258/SOTON/P0056
11. Using Artificial Intelligence to Optimise Small-Molecule Drug Design - Dr Nathan Brown (Benevolent AI) - Video not available
12. On the Basis of Brain:Neural–Network–Inspired Changes in General Purpose Chips - Ms Ekaterina Prytkova (Friedrich Schiller University Jena) & Dr Simone Vannuccini (University of Sussex) - http://dx.doi.org/10.5258/SOTON/P0055
13. Supramolecular antimicrobials – the next target for AI/Machine Learning? - Dr Jennifer Hiscock (University of Kent) - http://dx.doi.org/10.5258/SOTON/P0054
14. On the Basis of Brain:Neural–Network–Inspired Changes in General Purpose Chips - Ms Ekaterina Prytkova (Friedrich Schiller University Jena) & Dr Simone Vannuccini (University of Sussex) - http://dx.doi.org/10.5258/SOTON/P0053
15. Supramolecular antimicrobials – the next target for AI/Machine Learning?:Dr Jennifer Hiscock (University of Kent)
16. AI for Science: Transforming Scientific Research:Professor Tony Hey (STFC)
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More information
Published date: 23 September 2020
Venue - Dates:
AI3SD Summer Seminar Series 2020, Online, Southampton, United Kingdom, 2020-07-01 - 2020-09-23
Keywords:
seminar series, AI, Artificial Intelligence, Chemistry, Machine Learning, ML, Drug Discovery, Symbolic AI, Molecules, Antimicrobials, Quantum Computing, Multidimensionality, Data Science, Science, Scientific Research, Neural Networks, Design Fiction, InChI
Identifiers
Local EPrints ID: 453248
URI: http://eprints.soton.ac.uk/id/eprint/453248
PURE UUID: c25190a6-d05d-467d-8128-c6c824845201
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Date deposited: 11 Jan 2022 17:46
Last modified: 17 Mar 2024 03:51
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Editor:
Mahesan Niranjan
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