From How AI Works to How AI Changes Everything
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Talks by Gen-C (Generative AI Learning Community) - Oct 2026 edition
💡 Join us for talks about Generative AI on 24 Oct 2026 (Sat)! Seats are limited so please register early to avoid disappointment! 🙂
❗ IMPORTANT: Registration is only tracked through the "Begin Registration" button found within this link: https://nlb.libcal.com/event/5975971. Please sign up by clicking the "Begin Registration" button.
🏠 LOCATION: Level 5 Programme Room, Punggol Regional Library, 1 Punggol Drive One, S828629
Below is the schedule,
🧱 10.30am - 11.10am : From Noise to Data: Understanding Modern Generative Models
This sharing session explores the fundamental ideas behind modern generative models through three perspectives: Diffusion, Score Matching, and Flow Matching. We will see how each approach transforms a simple distribution into a complex data distribution — by denoising, navigating, or transporting probability. We then connect these ideas to practical image-generation architectures, exploring why modern models often generate in latent space rather than directly in pixel space, how Variational Autoencoders (VAEs) provide compact and structured representations, and how Diffusion Transformers (DiT) use attention to model relationships within these representations.
About the Speaker:
Sun Eng Pooi is a Banking Application Specialist with expertise in real-time online programming for digital banking systems used by major banks in Singapore and Malaysia. Her experience spans a range of critical banking platforms, including ATMs, internet banking, and debit/credit card systems.
11.10am - 11.30am : Q&A session
🤖 11.30am - 12.10pm : What Happens When Everyone Has AI?
As AI tools become available to almost everyone, simply having access to them is no longer a competitive edge. Moving beyond prompts and demos, we will explore how AI is changing the way we work, compete and create value, including the productivity paradox (being faster doesn’t necessarily mean working less), what AI can and still can’t replace, and why judgment, context, domain expertise and human skills may matter more than ever. We will look at how AI could reshape jobs, teams and organisations, which skills will count when everyone has an AI assistant, and how individuals can still stand out in an AI-enabled world.
About the Speaker:
Mike Sin Sin Chee is a technology leader with over 18 years of experience building and scaling global engineering organisations. He currently leads Global Travel Engineering at Chubb, driving technology strategy, engineering delivery, platform reliability, and innovation for travel insurance solutions across more than 50 markets worldwide.
12.10pm - 12.30pm : Q&A session