Skip to content

Details

Hear expert talks, break out into groups, and take the mic for an AI/hardware demo or announcement, and connect over pizza & drinks.

Entry information: A free Eventbrite Registration is required – tickets will be checked at the door.

A big thanks to our venue partner, Cicada Innovations. Cicada Innovations is a Sydney-based incubator providing full life-cycle support for Australia’s most ambitious deep tech ventures as they discover solutions to some of the world’s most pressing problems.

Take the mic at our community open mic.
Share a quick demo, prototype, or announcement – whether it's AI, hardware, or something you're building. All welcome.

05:30 PM - 06:00 PM Check-in, Pizza & Networking
Please have your Eventbrite ticket ready at check-in – then enjoy pizza, drinks, and time to connect with other attendees.

06:00 PM - 06:15 PM Opening Message: Our Sponsor and Host
Hear a short welcome from CruxML, a resident of Cicada Innovations.
Note: Each talk is about 20 minutes, with 10 minutes of breakout sessions for roundtable discussions.

06:15 PM - 06:45 PM
Talk 1: Lessons from investing in physical AI companies
Speaker: Danielle Haj-Moussa (Investment Manager at Main Sequence Ventures)

06:45 PM - 07:15 PM
Talk 2: From (A)mbition to (I)nnovation
Speaker: Dr. Joe Peng (Senior RSM for ANZ, AMD)

07:15 PM - 07:45 PM Panel Discussion
We will be inviting back onstage our sponsors and speakers to field your questions across the Physical AI ecosystem - from investment, to hardware, to applications.

07:45 PM - 08:00 PM Community Open Mic
Take the stage to share what your break-out group discussed, or short informal shares – demo, prototype, or quick announcement (hiring, collaboration, project updates). 1-2 minutes each.

08:00 PM onwards - Wrap-up & Networking
Any further chats will happen here.

Join ANZ's largest community of practitioners building where AI meets hardware. Tickets at this link.
https://physicalaimeetup.com/

Related topics

Events in Eveleigh, AU
Artificial Intelligence
Machine Learning
Embedded Systems
Hardware
Professional Networking

You may also like