AI for Science: Leveraging LLM Agents for Scientific Discovery

Google Sydney - One Darling Island, One Darling Island Road, Pyrmont, 2009

GDG AI for Science - Australia

This talk explores the potential of Large Language Models (LLMs) to revolutionize scientific research. We'll delve into the design and implementation of LLM agents that can assist scientists in tasks such as literature review, summarization, and information extraction.

Nov 26, 11:00 PM – Nov 27, 1:00 AM (UTC)

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AIBuild with AIGeminiMachine Learning

About this event

This is joint Google / CSIRO presentation.  This talk explores the potential of Large Language Models (LLMs) to revolutionize scientific research. We'll delve into the design and implementation of LLM agents that can assist scientists in tasks such as literature review, summarization, and information extraction. The focus will be on addressing the challenges of integrating domain-specific knowledge, handling complex research topics, and ensuring contextual accuracy. A demonstration of Gemini 1.5 Pro will showcase its capabilities in addressing these challenges and assisting in scientific discovery.

  • Dr. Qinghua Lu is a principal research scientist and leads the Responsible AI science team at CSIRO's Data61. She is the winner of the 2023 APAC Women in AI Trailblazer Award. She is part of the OECD.AI’s trustworthy AI metrics project team. She received her PhD from University of New South Wales in 2013. Her current research interests include responsible AI, software engineering for AI/GenAI, and software architecture. She has published 150+ papers in premier international journals and conferences. Her recent paper titled “Towards a Roadmap on Software Engineering for Responsible AI” received the ACM Distinguished Paper Award. Her book, “Responsible AI: Best Practices for Creating Trustworthy AI Systems”, has been published by Pearson Addison-Wesley in Dec 2023.
  • Dr. Sarvnaz Karimi is a principal research scientist at CSIRO’s Data61, Language Technology Team. She has nearly two decades of experience working in NLP (Natural Language Processing) and Search and Information Retrieval (IR) domains. She applies her expertise at the intersection of IR, NLP, and Machine Learning on different real-world projects in domains such as health, climate adaptation and agriculture. She has led multiple projects in the NLP/IR space over the years. Sarvnaz is active in the research community at large, in Australia and internationally. She is the Director of Publicity at the Association for Computational Linguistics (ACL), the main international professional body for NLP. She was the President of the Australasian Language Technology Association (ALTA), and an executive committee member. She has served as chair, senior area chair, area chair, and Programme Committee member of several major national and prestigious international conferences and journals. Sarvnaz completed a PhD in NLP in 2008 (RMIT University).
  • Dr. Stefan Harrer is an executive manager-turned scientist in AI and Neuroscience. After 13 years with IBM Research in the US and Australia as IBM Senior Technical Staff Member and Global Lead of Brain-Inspired Computing, and 3 years as Chief Innovation Officer of DHCRC Ltd., Australia’s largest incubator and funder of deep-tech innovation in Digital Health, he joined Australia’s National Science Agency CSIRO in his current role as Director AI for Science. He was featured in WIRED Magazine and Forbes. His framework for the ethical use of AI in the health and life sciences was published by The Lancet in 2023 and has been on its most-read list ever since.
  • Jasper Wang is a Google GenAI Blackbelt Specialist and the Lead Customer Engineer for Research and Higher Edu accounts with Google Cloud and he is also a member of Google global solution team focusing on research. He works with customers to help them derive maximum value from Google Cloud.Jasper has over 23 years experience in the IT industry. He has been working with cutting-edge Cloud technologies and AI solutions for the last 8 years and many years working on large scale Enterprise IT solutions before that. He is passionate about applying the best-suited Cloud AI technologies to customer business problems in order to return values and insights to organizations.
When

When

November 26 – 27, 2024
11:00 PM – 1:00 AM (UTC)

Agenda

10:30 PMArrival Tea & Coffee for those attending in-person
11:00 PMSession Starts
1:00 AMSession Ends

Speakers

  • Qinghua Lu

    CSIRO

    Principal Research Scientist

  • Sarvnaz Karimi

    CSIRO

    Principal Research Scientist

  • Stefan Harrer

    CSIRO

    Director, AI for Science

  • Jasper Wang

    Google

    Lead Customer Engineer for Research and Higher Education

Host

  • Astitva Chopra

    Google

    AI for Science Program Manager

Partner

CSIRO logo

CSIRO

Organizers

  • Susan Wei

    University of Melbourne

    Organizer

  • Pablo Rozas Larraondo

    Haizea Analytics

    Organizer

  • Marcel Scharth

    The University of Sydney

    Organizer

  • Lifi Huang

    Monash University

    Organizer

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