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Joint Canberra branch and Canberra data scientists online meeting on AI and Innovation

  • 6 Oct 2022 2:53 PM
    Reply # 12944327 on 12937425
    Francis Hui (Administrator)

    Hiya folks,

    A gentle reminder of the online seminar next Tuesday from the SSA Canberra branch, including updates for talk title and abstract.

    Thank you!

    -----------------------------------------  

    Please forward to those who may be interested.

    SSA Canberra Branch will be holding a joint meeting with Canberra Data Science Group on Tuesday 11th October via Zoom. For those in Canberra, there will be the opportunity to informally meet for dinner afterwards in Civic.

    We now have the title and abstract from the author. So the full information is below. Hope you can attend.

    Zoom link:

    Details given at the end of the email.

    Date: Tuesday 11 October 2022

    Time: 6:00pm – 7:00pm AEDT (Zoom link will open at 5.30pm for pre-mingling)   

    Speaker: Dr Cheng Soon OngCSIRO Data61, Canberra

    Topic: What is a scientific instrument?

    Abstract:

    The process of scientific discovery is an interplay between going from data to knowledge and vice versa. Advances in machine learning and artificial intelligence have changed the way we analyse data, and hence can be considered a kind of scientific instrument that helps us observe natural phenomenon. This talk looks at some examples of research at CSIRO, illustrating the different ways machine learning is an instrument for scientific discovery. We will focus on high level ideas, and there will be no theorems presented. 

    Biography:

    Cheng Soon Ong is a principal research scientist at the Machine Learning Research GroupData61, CSIRO, and is the director of the machine learning and artificial intelligence future science platform at CSIRO. He is also an adjunct associate professor at the Australian National University. His PhD in Computer Science was completed at the Australian National University in 2005. He was a postdoc at the Max Planck Institute of Biological Cybernetics and the Fredrich Miescher Laboratory in Tübingen, Germany. From 2008 to 2011, he was a lecturer in the Department of Computer Science at ETH Zurich, and in 2012 and 2013 he worked in the Diagnostic Genomics Team at NICTA in Melbourne. Since 2014, Cheng Soon is researching ways to enable scientific discovery by extending statistical machine learning methods with the Machine Learning Research Group in Data61, CSIRO in Canberra. Prior to his PhD, he researched and built search engine and Bahasa Malaysia technologies at Mimos Berhad, Malaysia. He obtained his B.E. (Information Systems) and B.Sc. (Computer Science) from the University of Sydney, Australia.

     

    Canberra Data Scientists meetup group link:

    https://www.meetup.com/en-AU/canberradatasci/events/287343034/

     

    Dinner: After the talk we will be holding a dinner at Madam Lu Malaysian Restaurant, 20/42 West Row, Melbourne Building, Civic. (Madam Lu Malaysian Restaurant | Facebook).  If you are interested in attending the dinner, please let me know by 4pm Monday 10 October by entering your details at attendance sheetor contacting me (warren.muller@csiro.au; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text me (0407 916 868).

    NOTE: We are offering discounts to SSA ECSSC members who attend dinner! Specifically, dinners will be a fixed charge of $10 for student members and $20 for early career members. Others will pay their share of the bill, after SSA applies a small subsidy. Typically this is $30-$40. Please bring cash if possible."

     

    Zoom link: 

    Topic: SSA Canberra branch meeting
    Time: Oct 11, 2022 05:30 PM Canberra, Melbourne, Sydney

    Join Zoom Meeting
    https://anu.zoom.us/j/89622389367?pwd=b0ErSDdGdHdISVpVVHJvMmwrcnFLdz09

    Meeting ID: 896 2238 9367
    Password: 179217
    One tap mobile
    +61861193900,,89622389367#,,,,0#,,179217# Australia
    +61871501149,,89622389367#,,,,0#,,179217# Australia

    Dial by your location
            +61 8 6119 3900 Australia
            +61 8 7150 1149 Australia
            +61 2 8015 6011 Australia
            +61 3 7018 2005 Australia
            +61 7 3185 3730 Australia
    Meeting ID: 896 2238 9367
    Password: 179217
    Find your local number: https://anu.zoom.us/u/kei9QsxlYN

    Or an H.323/SIP room system:
        Dial: +61262227588 (AUCX)
        or 89622389367@zoom.aarnet.edu.au
        Meeting ID: 89622389367
        H323/SIP Password: 179217

    Join by Skype for Business

    https://anu.zoom.us/skype/89622389367


  • 30 Sep 2022 7:04 PM
    Message # 12937425
    Francis Hui (Administrator)

    Hiya folks,

    Please forward to those who may be interested.

    SSA Canberra Branch will be holding a joint meeting with Canberra Data Science Group on Tuesday 11th October via Zoom. For those in Canberra, there will be the opportunity to informally meet for dinner afterwards in Civic.

    At this time we have not received a title or abstract from the author. We anticipate receiving this next week and will then resend this notice with full details.

    Zoom link: Details given at the end of the email.

    Date: Tuesday 11 October 2022

    Time: 6:00pm – 7:00pm AEDT (Zoom link will open at 5.30pm for pre-mingling)    

    Speaker: Dr Cheng Soon OngCSIRO Data61, Canberra

    Topic: Something on AI and Innovation – title TBA

    AbstractTBA

    Biography: Dr. Cheng Soon Ong is a principal research scientist at the Machine Learning Research GroupData61, CSIRO, and is the director of the machine learning and artificial intelligence future science platform at CSIRO. He is also an adjunct associate professor at the Australian National University. His PhD in Computer Science was completed at the Australian National University in 2005. He was a postdoc at the Max Planck Institute of Biological Cybernetics and the Fredrich Miescher Laboratory in Tübingen, Germany. From 2008 to 2011, he was a lecturer in the Department of Computer Science at ETH Zurich, and in 2012 and 2013 he worked in the Diagnostic Genomics Team at NICTA in Melbourne. Since 2014, Cheng Soon is researching ways to enable scientific discovery by extending statistical machine learning methods with the Machine Learning Research Group in Data61, CSIRO in Canberra. Prior to his PhD, he researched and built search engine and Bahasa Malaysia technologies at Mimos Berhad, Malaysia. He obtained his B.E. (Information Systems) and B.Sc. (Computer Science) from the University of Sydney, Australia.

    Canberra Data Scientists meetup group link: https://www.meetup.com/en-AU/canberradatasci/events/287343034/

     

    Dinner: After the talk we will be holding a dinner at Madam Lu Malaysian Restaurant, 20/42 West Row, Melbourne Building, Civic. (Madam Lu Malaysian Restaurant | Facebook).  If you are interested in attending the dinner, please let me know by 4pm Monday 10 October by entering your details at attendance sheetor contacting me (warren.muller@csiro.au; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text me (0407 916 868).

    NOTE: We are offering discounts to SSA ECSSC members who attend dinner! Specifically, dinners will be a fixed charge of $10 for student members and $20 for early career members. Others will pay their share of the bill, after SSA applies a small subsidy. Typically this is $30-$40. Please bring cash if possible.

     

    ---------------------------

    Zoom link:

    Topic: SSA Canberra branch meeting
    Time: Oct 11, 2022 05:30 PM Canberra, Melbourne, Sydney

    Join Zoom Meeting
    https://anu.zoom.us/j/89622389367?pwd=b0ErSDdGdHdISVpVVHJvMmwrcnFLdz09

    Meeting ID: 896 2238 9367
    Password: 179217
    One tap mobile
    +61861193900,,89622389367#,,,,0#,,179217# Australia
    +61871501149,,89622389367#,,,,0#,,179217# Australia

    Dial by your location
            +61 8 6119 3900 Australia
            +61 8 7150 1149 Australia
            +61 2 8015 6011 Australia
            +61 3 7018 2005 Australia
            +61 7 3185 3730 Australia
    Meeting ID: 896 2238 9367
    Password: 179217
    Find your local number: https://anu.zoom.us/u/kei9QsxlYN

    Or an H.323/SIP room system:
        Dial: +61262227588 (AUCX)
        or 89622389367@zoom.aarnet.edu.au
        Meeting ID: 89622389367
        H323/SIP Password: 179217

    Join by Skype for Business

    https://anu.zoom.us/skype/89622389367

    ---------------------



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