WEBINAR: A practical guide to AI tools for life scientists
Date: 8 May 2024 @ 12:00 - 13:00
Timezone: Melbourne
Duration: 1 hour
The widespread availability and application of AI tools like ChatGPT have fundamentally transformed our approach to work, creativity, learning, and communication. In the realm of scientific research, the impact of AI extends far beyond mere promises, already catalysing significant advances and discoveries.
This talk will explore how AI is reshaping scientific exploration and innovation. We explore how AI can accelerate research processes, from data analysis and code writing to hypothesis development. We will present some of the available and emerging AI and how we might effectively leverage these tools while acknowledging their limitations.
Speakers: Dr Michael Kupier, Principal Research Scientist in Computational Biology and acting Group Leader of the Computational Modelling (CM) group at Data61 of CSIRO.
Date/Time: 8 May 2024, 12 - 1pm AEST / 11:30am - 12:30 pm ACST / 10 - 11am AWST
Who the webinar is for:
This webinar is for life scientists and bioinformaticians who are curious about how to use AI tools to accelerate their research. No prior experience of AI or machine learning is required.
How to join:
This webinar is free to join but you must register for a place in advance.
A recording of this webinar will be shared on the Australian BioCommons YouTube channel.
Contact: [email protected]
Keywords: AI, Artificial Intelligence, ChatGPT
City: Online
Country: Australia
Learning objectives:
By the end of the webinar you should be able to:
- Outline how AI is reshaping scientific exploration and innovation.
- Outline AI can accelerate research processes, from data analysis and code writing to hypothesis development.
- List some of the available and emerging AI and how we might effectively leverage these tools while acknowledging their limitations.
Organizer: Australian BioCommons
Eligibility:
- First come first served
Capacity: 500
Cost basis: Free to all
Scientific topics: Machine learning
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