Stockholm AI, Machine Learning and Computer Vision Meetup
Dec 18, 2024 | 5:30 to 8:30 PM
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Date, Time and Location
Date and Time
Dec 18, 2024 from 5:30 PM to 8:30 PM
Location
The Meetup will take place at Fotografiska, Stadsgårdshamnen 24
Autonomous Trucking and the AI Revolution
George Dibben
Scania Group
The challenges of L4 & L5 autonomous trucking has driven technological advancement in automation for many years. At present, development is evolving from hand-crafted algorithms and small-scale AI development towards all-in on AI. In this presentation we explore the machinery behind this that has been driven by advances in data, computer vision, perception and machine learning as we approach the AI revolution.
About the Speaker
George Dibben is a seasoned engineer, with a decade of experience working with autonomous heavy vehicles development at Scania, with multi-disciplinary experience across autonomous system and software development
How to Unlock More Value from Self-Driving Datasets
Dan Gural
Voxel51
AV/ADAS is one of the most advanced fields in Visual AI. However, getting your hands on a high quality dataset can be tough, let alone working with them to get a model to production. In this talk, I will show you the leading methods and tools to help visualize as well take these datasets to the next level. I will demonstrate how to clean and curate AV datasets as well as perform state of the art augmentations using diffusion models to create synthetic data that can empower the self driving car models of the future,
About the Speaker
Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data.
Adapting Object Detection Models for Construction Sites Using Federated Learning
Mohammadreza Mohammadi
Research Institute of Sweden
Federated Learning helps us to improve object detection models for autonomous construction equipment. Traditional adversarial training methods often fail in dynamic construction environments due to the lack of diverse real-world data and privacy concerns. By leveraging FL, we address these challenges, enabling continuous online learning without direct data exchange. Our approach enhances model robustness, adaptability, and privacy preservation, making it ideal for diverse and evolving construction sites.
About the Speaker
Mohammadreza Mohammadi is a an AI R&D Engineer at the RISE – Research Institute of Sweden. His research focus is on Distributed machine learning, privacy preserving data sharing, LLMs, and blockchain.
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The goal of the AI, Machine Learning, and Computer Vision Meetup network is to bring together a community of data scientists, machine learning engineers, and open source enthusiasts who want to share and expand their knowledge of AI and complementary technologies. If that’s you, we invite you to join the Meetup closest to your timezone.
