About us
The group's aim is to enable people to create and deploy their own Deep Learning models built using TensorFlow, PyTorch and JAX. We will look at a combination of both beginner and intermediate models to learn key skills - as well as going to the next level with presentations about cutting edge papers and techniques.
Ideally, each event will contain something for every level of experience - without having to explain neural networks 3-times over - and present models and code that you can play around with. Essentially, we plan on simplifying Deep Learning & other types of Machine Learning into usable skills for the real world.
Last, but not least, we're very proud to have the venue sponsored by Google.
Upcoming events
1
AI Engineer Gemini Event
Google Developers Space, Singapore, 80 Pasir Panjang Rd, Singapore, SGAI Engineer is coming to Singapore - and Google DeepMind (as a sponsor of the event) also wants to contribute to its general aura of awesomeness!
Talks (subject to updates...):
"Prototyping fast in Antigravity" - Ivan Leo
Ivan has been using Google Antigravity to rapidly build and prototype systems-level Zig libraries like teul and gil. He’ll walk through his actual day-to-day workflow and share the biggest lessons he's learned about steering AI when writing low-level code. Before joining Google DeepMind, Ivan worked on building agents at Manus AI (SG) before its acquisition by Meta in 2026, and so brings a practical view on what it takes to turn agent capabilities into products developers can actually use."Robotics Planning with Gemini" - Chaitanya Jadhav & Anurag Roy
Seizing the opportunity to do a lightning talk at the intersection of Robotics (the subject of the April MeetUp) and Gemini, Anurag and Chaitanya will demonstrate how Gemini's multimodal and reasoning capabilities can power a pipeline that converts photos of an indoor space into a map and generates executable task plans for robots with different embodiments."Something cool with TTS" - Martin Andrews
In this lightning talk, Martin has been playing with the Gemini Flash TTS models - and will demo both its regular API, and how it can be incorporated into various workflows."From Lab to Laundry: Scaling Robot Autonomy in the Real World" - Daniel Ng & Siddharth Krishnan
Google DeepMind’s ALOHA accelerated robot learning and model development, yet a gap remains between successful lab demos and robots working reliably in production. Daniel and Siddharth share their experience deploying ALOHA-based teleoperated robots in real work environments to bridge this autonomy gap; and explain why teleoperation will play key role in autonomous deployment. Apparently, there will be hardware!
FOOD UPDATE : Google has told us that there WILL BE pizza at the event
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Talks will start at 7:10pm (entry at 6:45pm) and end at around 9:00pm, at which point attendees can come up to the front for a bit of a chat with each other, and the speakers.
Due to some recent security incidents at the venue please take note of the new DevSpace security procedures https://bit.ly/devspace-security
Attendees will not be admitted later than 15min after the talks have started.As always, we're actively looking for more speakers - both '30 minutes long-form', and lightning talks. For the lightning talks, we welcome folks to come and talk about something cool they've done with keras, PyTorch, JAX and/or Deep Learning for 5-10mins (so, if you have slides, then #max=10). We believe that the key ingredient for the success of a Lightning Talk is simply the cool/interesting factor. It doesn't matter whether you're an expert or an enthusiastic beginner: Given the responses we have had to previous talks, we're sure there are lots of people who would love to hear what you've been playing with. If you're interested in talking, please just introduce yourself to Martin at one of the events.
240 attendees
Past events
75
Group links
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