
This record includes training materials associated with the Australian BioCommons webinar ‘Deciphering AI for the Life Sciences'. This webinar took place on 18 March 2025. Event description Curious about how Artificial Intelligence (AI) is transforming life sciences? AI is reshaping life sciences by enabling researchers to analyze complex datasets, automate workflows, and gain deeper insights into biological processes. This introductory webinar will break down AI concepts, clarify key terminology, and showcase real-world examples of AI applications in the life sciences. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Lead Trainer: Dr Benjamin Goudey, AI Technical Lead, Australian BioCommons Host: Dr. Giorgia Mori, Australian BioCommons Training materials Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. DOME_Webinar (PDF): A PDF copy of the slides presented during the webinar. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://www.youtube.com/watch?v=ijFg3VbO2VM
FOS: Computer and information sciences, Artificial intelligence, Artificial Intelligence, Bioinformatics, Life Sciences
FOS: Computer and information sciences, Artificial intelligence, Artificial Intelligence, Bioinformatics, Life Sciences
| 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 |
