Independent AI Engineer Karthik Rao Aroor presents the “Improved Data Sampling Techniques for Training Neural Networks” tutorial at the May 2024 Embedded Vision Summit. For classification problems in which there are equal numbers of samples in each class, Aroor proposes and presents a novel mini-batch sampling approach to train neural… “Improved Data Sampling Techniques for […]
Lin Chen, Chief Scientist at Wyze, presents the “Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras” tutorial at the May 2024 Embedded Vision Summit. In this talk, Chen explains how Wyze delivers robust visual AI at ultra-low cost for millions of consumer smart cameras, and how his company is rapidly… “Cost-efficient, High-quality AI for Consumer-grade
Matthew Pietrzykowski, Principal Data Scientist at Wabtec, presents the “Edge AI Optimization on Rails—Literally” tutorial at the May 2024 Embedded Vision Summit. In this talk, Pietrzykowski shares highlights from his company’s adventures developing computer vision solutions for the rail transportation industry. He begins with an introduction to the types of… “Edge AI Optimization on Rails—Literally,”
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Jacob Marks, Senior ML Engineer and Researcher at Voxel51, presents the “How Large Language Models Are Impacting Computer Vision” tutorial at the May 2024 Embedded Vision Summit. Large language models (LLMs) are revolutionizing the way we interact with computers and the world around us. However, in order to truly understand… “How Large Language Models Are
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Guy Lavi, Managing Partner at Vision Elements, presents the “Continual, On-the-fly Learning through Sequential, Lightweight Optimization” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Lavi shows how techniques of sequential optimization are applied to enable continual learning during run-time, as new observations flow in. The lightweight nature… “Continual Learning thru Sequential, Lightweight
Aishwarya Jadhav, Software Engineer in the Autopilot AI Team at Tesla, presents the “Improved Navigation Assistance for the Blind via Real-time Edge AI,” tutorial at the May 2024 Embedded Vision Summit. In this talk, Jadhav presents recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation… “Improved Navigation Assistance for the
Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics” tutorial at the May 2024 Embedded Vision Summit. At a high level, sport analytics systems can be broken into two components: sensory data collection and analytical models that turn sensory… “Using Vision Systems, Generative Models
Ramit Pahwa, Machine Learning Scientist at Rivian, presents the “Removing Weather-related Image Degradation at the Edge” tutorial at the May 2024 Embedded Vision Summit. For machines that operate outdoors—such as autonomous cars and trucks—image quality degradation due to weather conditions presents a significant challenge. For example, snow, rainfall and raindrops… “Removing Weather-related Image Degradation at
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Raghava Kashyapa, CEO of Qualitas Technologies, presents the “Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Kashyapa explores how advanced image acquisition techniques reveal previously unseen information, improving the ability of algorithms to provide valuable insights.… “Seeing the Invisible: Unveiling Hidden
Heather Couture, Founder and Computer Vision Consultant at Pixel Scientia Labs, presents the “Data-efficient and Generalizable: The Domain-specific Small Vision Model Revolution” tutorial at the May 2024 Embedded Vision Summit. Large vision models (LVMs) trained on a large and diverse set of imagery are revitalizing computer vision, just as LLMs… “Data-efficient and Generalizable: The Domain-specific
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