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Robots are improving at an increasing pace - due to improvements in hardware; simulation environments; and machine learning approaches at many levels : What if your Agents could take physical form?

Talks (subject to updates...):

"Building Robots + Systems in Singapore" - Yip Jia Qi
Since Jia Qi last talked at our meetup in 2023, he has been working at Menlo Research - who have recently open-sourced the Asimov humanoid robot (https://asimov.inc/diy-kit). In his talk, Jia Qi will talk about what has already been accomplished, and outline Menlo's (even more ambitious) goals.

"World [Action] Models" - Martin Andrews
Martin will be giving a high-level description of the World Model landscape (including GEPA) while also comparing them to other approaches for robotics applications.

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.

Related topics

Events in Singapore, SG
Artificial Intelligence
Artificial Intelligence Applications
Deep Learning
Machine Learning
Humanoid Robots

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