Home Events - OPTIMA OPTIMA Debate – Can machine learning models solve all optimisation problems?

Date

Sep 06 2023

Time

AEST AUSTRALIA
2:00 pm - 3:15 pm

Cost

$0

OPTIMA Debate – Can machine learning models solve all optimisation problems?

Part of Melbourne Connect Innovation Week.

Join a panel of optimisation researchers from diverse disciplines including mathematics, statistics, computer science, engineering and economics in a lively debate on machine learning models and their prowess in solving optimisation problems.

Led by the witty and charismatic Simon Pampena, a comedian, mathematician, and science communicator, discover how experts from various fields approach optimisation challenges, explore the intersection of their methodologies, and witness the fusion of creativity and analytical rigour in finding novel solutions. This entertaining and intellectually stimulating event will spark thought-provoking discussions, shedding light on the multifaceted aspects of optimisation and its applications in the real world.

BOOK TICKETS

Affirmative Team
Gleb Belov
Yi Zhen
Ariel Liebman

Negative Team
Sevvandi Kandanaarachchi
Hendrik Bierlee
Hamideh Anjomshoa

WED 6 September 14:00 -15:15 (AEST, Melbourne Time)

The event is finished.

Date

Sep 06 2023

Location

Melbourne Connect
Level M, 700 Swanston St, Carton
Website
https://goo.gl/maps/aeDo8yauiY1USrKo8
OPTIMA

Advancing an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, who will vanguard a highly skilled workforce of change agents for industrial transformation.

Monash University
Clayton, Victoria, 3080
Australia

University of Melbourne
Parkville, Victoria, 3010
Australia

© 2021 ARC Industrial Transformation Training Centre in Optimisation Technologies, Integrated Methodologies and Applications (OPTIMA)

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Early Bird Tickets for OPTIMA-CON 24 are now on sale until 30th May 2024, unless sold out prior. Do not miss out!
Early Bird Tickets for OPTIMA-CON 24 are now on sale until 30th May 2024, unless sold out prior. Do not miss out!
Register Here Register Here