3D Printing Melbourne
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Physical AI Meetup - Melbourne
Tue, Aug 18, 7:30 AMJoin ANZ's largest community of practitioners building where AI meets hardware. The Physical AI Meetup Melbourne brings together researchers, engineers, and industry practitioners working across artificial intelligence, robotics, embedded systems, sensing, and edge computing. **Important: Please grab your** **[FREE Eventbrite ticket](https://www.eventbrite.com.au/e/1997136185091) here** **to attend. Registration is required, and tickets will be checked at the door** Hear 3 expert talks, take the mic for an AI / hardware demo or announcement, and connect over pizza & drinks. A special thanks to Deakin University for hosting us, in collaboration with the Deakin Software Engineering Club (DSEC) — a student-run club enriching the student experience through social events, professional development, and industry networking that connects engineering students with peers and professionals. Take the mic at our Community Open Mic! Bring your demo, prototype, or announcement — whether it is AI, hardware, robotics, embedded systems, sensing, or edge computing. All welcome. **Agenda** **5:30 – 6:00 pm \| Check\-in\, Pizza & Networking\.** Please have your Eventbrite ticket ready at check-in – then enjoy pizza and drinks from Avnet and AMD – and connect with other attendees. **6:00 - 6:10 pm: Event introduction.** Hear a short welcome from the event hosts and an introduction to the Physical AI Meetup community. **6:10 – 6:40 pm \| Talk 1 – Continuous3D: Physical AI for Zero\-Code Robotic Manufacturing and Maintenance** **Overview:** Dr Peter King will introduce Continuous3D, a zero-code Physical AI solution that combines 3D sensing, automated toolpath generation and robotic control. It enables robots to perceive and adapt to worn components, irregular surfaces and unique damage—bringing intelligent automation to complex manufacturing and maintenance tasks. **Speaker:** Dr Peter King, Senior Research Scientist in CSIRO **Bio:** Dr Peter King is a Senior Research Scientist in CSIRO’s Robotic Manufacturing Team. His work focuses on digital technologies for large-format robotic additive manufacturing, automated component repair, metal 3D printing and robotic toolpath planning. He has led the development of cold-spray applications across naval component repair, aerospace manufacturing, printing-roller coatings and marine biofouling protection. Peter is also a driving force behind Continuous3D, a technology designed to make industrial robots easier to deploy for complex manufacturing and maintenance tasks—particularly one-off jobs in which every component, defect or repair is different. **6:40 – 7:10 pm \| Talk 2 – From Perception to Safe Action:** Multimodal Reasoning for Robots in Dynamic Environments **Overview:** Physical AI systems need to go beyond detecting objects. They must understand relationships, reason about changing scenes, and translate that understanding into timely and safe actions. This talk will present research on robot visual perception and multimodal reasoning in dynamic, human-crowded environments, including social scene understanding, spatial reasoning, and visual reasoning. It will then discuss how these capabilities connect to embodied AI and real-world robot decision-making, where latency, uncertainty, safety, and reliability become critical challenges. **Speaker:** Dr Simindokht Jahangard, Research Fellow at Monash University **Bio:** Dr Simindokht Jahangard is a Research Fellow in the Department of Data Science and AI at Monash University. Her research lies at the intersection of computer vision, robotics, visual and spatial reasoning, multimodal AI, embodied intelligence, and AI safety. Her work focuses on enabling robotic systems to understand complex, human-crowded environments and make reliable and safe decisions in the physical world. **7:10 – 7:40 pm \| Talk 3 – Powering Physical AI:** **From Perception to Action with AMD Kria AI** **Overview:** Physical AI requires more than AI inference—it must sense, reason, decide and act safely in real time. Eu Geen will introduce AMD’s Physical AI architecture and the Kria AI SOM and Robotics Developer Platform, which combine CPU, GPU, NPU and FPGA computing to support AI perception, deterministic control and next-generation autonomous robotics. **Speaker:** Eu Geen Chew, Senior Field Applications Engineer at AMD **Bio:** Eu Geen Chew is a Senior Field Applications Engineer at AMD with expertise in electronics, CPU/MCU/SoC architectures, RTL design and firmware development. He helps customers apply AMD’s heterogeneous and adaptive computing technologies to advanced embedded and Physical AI systems. **7:40 – 8:00 pm \| Community Open Mic** Take the mic and share with the group — from hardware demos and embedded prototypes to quick AI-at-the-edge announcements, project showcases, calls for collaboration, and more. **Wrap-up & Social** Any further Q&As and chats will happen here. Last reminder: Please make sure to register on Eventbrite for your free ticket — it is required for entry.
Monday night badminton @ Beyond Badminton Centre - Clayton
Mon, Aug 17, 8:30 AM
When Maps Aren’t Enough: Using Spatial AI to Measure the Green We See
Tue, Aug 18, 8:00 AMThe MLAI Meetup is a community for AI researchers and professionals which hosts monthly talks on exciting research. Our format is: * 6:00 - 6:20: Socializing * 6:20 - 6:40: Announcements and AI news * 6:40 - 7:40: Talk(s) and Q&A * 7:40 - 8:00 Networking * 8:00: Head to the nearest pub for dinner **Shinjita Das: When Maps Aren’t Enough: Using Spatial AI to Measure the Green We See** **Talk description:** A tree can cool a street, appear clearly on a map – and still be completely invisible from someone’s window. That gap between what exists in a city and what people actually see and experience has shaped much of my research journey. When I first started working with geospatial science, I was fascinated by the idea that spatial data could reveal patterns in cities that are difficult to notice on the ground. During my Master’s research, I used deep learning to detect individual urban trees and examined their contributions to urban cooling. That was my first real encounter with machine learning, and it changed the way I thought about maps: they were no longer just tools for showing where things are, but platforms for asking what else we could learn from the environment. That curiosity led me further into GeoAI. If machine learning could help identify trees and quantify their environmental role, could similar computational approaches help us understand how people actually experience greenery? This question followed me into my PhD, where my toolkit expanded from 2D GIS and spatial statistics to 3D city modelling, computer vision and emerging GeoAI approaches. At the same time, the research question became more human. Instead of simply asking “Where is the green?”, I began asking, “Who can actually see it and how does the view impact mental health?” In this talk, I’ll trace that journey through examples from my research: from detecting trees and measuring their cooling effects to reconstructing urban environments in 3D and modelling greenery from the perspective of apartment residents. Along the way, I’ll explore how GeoAI, computer vision and spatial modelling can help us move beyond mapping cities from above and start understanding them from the perspective of the people who live within them. **Speaker bio:** Shinjita Das is a PhD candidate in the School of Global, Urban and Social Studies and the Department of Mathematical and Geospatial Sciences at RMIT University. Her ARC-funded High Life Study research examines apartment living, urban greenery and mental health using 3D GIS modelling and spatial statistics. Her interest in machine learning began during her Master’s research, where she used Faster R-CNN to detect urban trees and investigate their cooling effects. As a member of RMIT’s GISail research group, her broader research interests lie in GeoAI, spatial machine learning, 3D urban modelling, urban heat vulnerability, environmental exposure assessment, health-integrated spatial analysis, and the use of emerging geospatial technologies to support healthier, more sustainable, and liveable cities. She is also a tutor and aims to cultivate critical thinking and innovation in spatial science, helping foster the next generation of geospatial professionals equipped to address complex urban and environmental challenges.
Sunday Night Badminton @ Mt Waverley Badminton Centre
Sun, Aug 23, 10:00 AM
Squishface Monthly Drawing Night AUGUST @ SQUISHFACE
Wed, Aug 26, 9:00 AMLAST WEDNESDAY OF THE MONTH so **IT'S DRAWING NIGHT AT SQUISHFACE** Join us at Squishface's studio space in South Melbourne: Studio Hall, on the grounds of St Kilda South Port Uniting Church on Dorcas St. There are FOUR TRAMS you can catch from the city. **58, 96, 12** or the **1!** It is even walkable from the city. Bring your sketch books, bring your pens, bring a friend. It's not a class - it's a drawing hang out. All skill levels welcome. Always lots of regulars, always newies. Be socially awkward, be confident as heck. This is informal, it's just a free drawing session. Go ahead and bring snacks. But no nuts please! Our venue is wheelchair accessible, as are the very toilets. Minors are welcome but will need an accompanying adult. Contact us on 0400 356 922 if any issues or you get lost. Please follow us both on instagram, for comic and zine related news and events. 👉 [Squishface Studio](http://www.instagram.com/Squishfacestudio) Here's an [instagram video](https://www.instagram.com/reel/C4J5GiOPLxc/) showing where Studio Hall is. You simply enter from the street, walk up toward the big bluestone church, then go left to the car park and you will find Studio Hall!
Friday Night Badminton @ Mt Waverley Badminton Centre
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