AI, Machine Learning and Computer Vision Meetup
Nov 14, 2024 at 10 AM Pacific
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Human-in-the-loop: Practical Lessons for Building Comprehensive AI Systems
Adrian Loy
Merantix Momentum
AI systems often struggle with data limitations, data distribution shift over time, and a poor user experience. Human-in-the-loop design offers a solution by placing users at the center of AI systems and leveraging human feedback for continuous improvement.
In this talk, we’ll dive deeply into a recent project at Merantix Momentum: A interactive tool for automatic rodent behaviour analysis in videos at a large scale. We’ll discuss the machine learning components, including pose estimation, behavior classification, and active learning and talk about the technical challenges and the impact of the project.
About the Speaker
Adrian Loy has a Msc in IT Systems Engineering and spent the last 5 years at Merantix Momentum planning and executing Computer Vision Projects for a variety of clients. He is currently leading the Machine Learning Engineering Team at Momentum.
Deploying ML models on Edge Devices using Qualcomm AI Hub
Bhushan Sonawane
Qualcomm
In this talk we address the common challenges faced by developers migrating AI workloads from the cloud to edge devices. Qualcomm aims to democratize AI at the edge, easing the transition to the edge by supporting familiar frameworks and data types. This is where Qualcomm AI Hub comes in. Developers can follow along, gaining knowledge and tools to efficiently deploy optimized models on real devices using Qualcomm AI Hub.
We’ll walk through how to get started using Qualcomm AI Hub, go through examples on how to optimize models and bundle the downloadable target asset into your application and talk through iterating on your model and meet performance requirements to deploy on device!
About the Speaker
Bhushan Sonawane has optimized and deployed more than 1000s of AI models on-device on iOS and Android ecosystem. Currently, he is building AI Hub at Qualcomm to make on-device journey on Android and Snapdragon platform as seamless as possible.
Curating Excellence: Strategies for Optimizing Visual AI Datasets
Harpreet Sahota
Voxel51
In this talk Harpreet will discuss common challenges plaguing visual AI datasets, their impact on model performance, and share some tips and tricks for curating datasets to make the most of any compute budget or network architecture.
About the Speaker
Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.
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