From CNNs to LVMs, explore visual AI's evolution - including a live 3D tracking demo that brings cutting-edge vision tech to life.
Speakers
Tabitha Day
Linlin Yu
Agenda
18:00 doors open; refreshments and nibbles
18:30 presentation begins
19:45 Q and A
20:00 pizza, refreshments and networking for those present in person
20:45 end of event
Synopsis
Join us for an illuminating exploration of how computer vision has evolved - from handcrafted algorithms to today's Large Vision Models (LVMs) that interpret and reason about the world around us.
We'll trace this remarkable journey, from the early breakthroughs of convolutional neural networks to the transformer revolution that bridged language and vision. Along the way, we'll unpack how open-source innovation has fuelled rapid progress and democratised access to world-class models.
The session will examine the miniaturisation trend that's making visual AI more accessible than ever, with lightweight models running efficiently on mobile and edge devices.
Expect a mix of insight and inspiration, with a series of live demonstrations showcasing the power of open-source tools - culminating in a spectacular 3D tracking demo that brings theory to life.
Whether you're an AI practitioner, developer, or simply curious about how machines are learning to see, this talk offers a front-row view into the technologies shaping the next wave of intelligent vision.
About the speakers
Tabitha Day is a Data Engineer at Zühlke with a background in Computer Science and expertise in building data pipelines, data visualisation, and AI solutions.
Linlin Yu is a Principal Data Scientist at Zühlke with a PhD in Economics and AWS certified machine learning specialty. He has over a decade of experience applying machine learning, computer vision, and generative AI to create impactful data-driven solutions across finance, IT, and consulting. Cybele Wong is an experienced data professional with a background in leading, advising, and delivering over 100 digital products and projects globally, spanning areas including data management, analytics, artificial intelligence, and patent acquisition, dedicated to advancing digital and AI/ML adoption to create a smart and sustainable future.
With over a decade of experience working as Data Scientist, she has spearheaded the development of digital solutions globally, focusing on the built environment across sectors including buildings and infrastructure, water, transport, city planning, energy, portfolio risks and public health
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