
Presentation given by Professor Simon Coles on behalf of PSDI for the ChemSpider Webinar Series. This presentation looked at the part AI has played up to now in the Physical Sciences, with a look to the future on how things are going to change moving forward. The recording of this presentation can be downloaded from here: https://blogs.rsc.org/chemspider/2023/09/22/chemspider-webinars-helping-you-embrace-digital-chemistry-data-with-expert-insights/?doing_wp_cron=1703098428.1333420276641845703125
Machine Learning, Chemistry, Artificial Intelligence, AI, Physical Sciences, ML
Machine Learning, Chemistry, Artificial Intelligence, AI, Physical Sciences, ML
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
