Networks 4 Augmented Chemical Intelligence?
Networks 4 Augmented Chemical Intelligence?
Slides from a conference paper presented at the Machine Learning / Big Data Workshop held at the University of York on 28th July 2021.
Artificial Intelligence, AI, ML, Machine learning, Chemistry, Augmented Intelligence, Networks
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
28 July 2021
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
(2021)
Networks 4 Augmented Chemical Intelligence?
Kanza, Samantha
(ed.)
Machine Learning / Big Data Workshop, Online.
28 Jul 2021.
31 pp
.
(doi:10.5258/SOTON/AI3SD0130).
Record type:
Conference or Workshop Item
(Other)
Abstract
Slides from a conference paper presented at the Machine Learning / Big Data Workshop held at the University of York on 28th July 2021.
Text
York AI Networks
- Version of Record
More information
Published date: 28 July 2021
Additional Information:
Jeremy Frey is a Professor of Physical Chemistry and the head of the Computational Systems Chemistry Group at the University of Southampton. Before working at Southampton, he obtained his DPhil on experimental and theoretical aspects of van der Waals complexes in the Physical Chemistry Labs, Oxford University under the supervision of Professor Brian Howard, followed by a NATO/EPSRC fellowship at the Lawrence Berkeley Laboratory and University of California, with Professor Y. T. Lee. Jeremy’s experimental research probes molecular organisation in environments from single molecules in molecular beams to liquid interfaces using laser spectroscopy from the IR to soft X-rays. He investigates how e-Science infrastructure supports scientific research with an emphasis on the way digital infrastructure can enhance the intelligent creation, dissemination and analysis of scientific data.
Venue - Dates:
Machine Learning / Big Data Workshop, Online, 2021-07-28 - 2021-07-28
Keywords:
Artificial Intelligence, AI, ML, Machine learning, Chemistry, Augmented Intelligence, Networks
Identifiers
Local EPrints ID: 451914
URI: http://eprints.soton.ac.uk/id/eprint/451914
PURE UUID: 560a0648-abb0-4282-b4d3-845c886197de
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Date deposited: 03 Nov 2021 17:32
Last modified: 17 Mar 2024 03:51
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