Edge AI and Vision Alliance

“Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare and Beyond,” an Interview with Stanford University

Walter Greenleaf, Neuroscientist at Stanford University’s Virtual Human Interaction Lab, talks with Tom Vogelsong, Start-Up Scout at K2X Technology and Life Science for the “Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare and Beyond” interview at the May 2025 Embedded Vision Summit. In this wide-ranging interview, Greenleaf… “Virtual Reality, Machine Learning and […]

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“Understanding Human Activity from Visual Data,” a Presentation from Sportlogiq

Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Understanding Human Activity from Visual Data” tutorial at the May 2025 Embedded Vision Summit. Activity detection and recognition are crucial tasks in various industries, including surveillance and sports analytics. In this talk, Javan provides an in-depth exploration of human activity understanding,… “Understanding Human Activity from Visual

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“Multimodal Enterprise-scale Applications in the Generative AI Era,” a Presentation from Skyworks Solutions

Mumtaz Vauhkonen, Senior Director of AI at Skyworks Solutions, presents the “Multimodal Enterprise-scale Applications in the Generative AI Era” tutorial at the May 2025 Embedded Vision Summit. As artificial intelligence is making rapid strides in use of large language models, the need for multimodality arises in multiple application scenarios. Similar… “Multimodal Enterprise-scale Applications in the

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“Real-world Deployment of Mobile Material Handling Robotics in the Supply Chain,” a Presentation from Pickle Robot Company

Peter Santos, Chief Operating Officer of Pickle Robot Company, presents the “Real-World Deployment of Mobile Material Handling Robotics in the Supply Chain” tutorial at the May 2025 Embedded Vision Summit. More and more of the supply chain needs to be, and can be, automated. Demographics, particularly in the developed world,… “Real-world Deployment of Mobile Material

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Edge AI and Vision Insights: October 1, 2025

OPTIMIZING DEEP LEARNING MODEL EFFICIENCY Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review The deployment of large language models (LLMs) in resource-constrained environments is challenging due to the significant computational and memory demands of these models. To address this challenge, various quantization techniques have been proposed to reduce the model’s resource

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“Developing a GStreamer-based Custom Camera System for Long-range Biometric Data Collection,” a Presentation from Oak Ridge National Laboratory

Gavin Jager, Researcher and Lab Space Manager at Oak Ridge National Laboratory, presents the “Developing a GStreamer-based Custom Camera System for Long-range Biometric Data Collection” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Jager describes Oak Ridge National Laboratory’s work developing software for a custom camera system… “Developing a GStreamer-based Custom Camera

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“Sensors and Compute Needs and Challenges for Humanoid Robots,” a Presentation from Agility Robotics

Vlad Branzoi, Perception Sensors Team Lead at Agility Robotics, presents the “Sensors and Compute Needs and Challenges for Humanoid Robots” tutorial at the September 2025 Edge AI and Vision Innovation Forum.

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“Scaling Artificial Intelligence and Computer Vision for Conservation,” a Presentation from The Nature Conservancy

Matt Merrifield, Chief Technology Officer at The Nature Conservancy, presents the “Scaling Artificial Intelligence and Computer Vision for Conservation” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Merrifield explains how the world’s largest environmental nonprofit is spearheading projects to scale the use of edge AI and vision… “Scaling Artificial Intelligence and Computer

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“A Lightweight Camera Stack for Edge AI,” a Presentation from Meta

Jui Garagate, Camera Software Engineer, and Karthick Kumaran, Staff Software Engineer, both of Meta, co-present the “Lightweight Camera Stack for Edge AI” tutorial at the May 2025 Embedded Vision Summit. Electronic products for virtual and augmented reality, home robots and cars deploy multiple cameras for computer vision and AI use… “A Lightweight Camera Stack for

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“Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models,” a Presentation from LinkedIn Learning

Alina Li Zhang, Senior Data Scientist and Tech Writer at LinkedIn Learning, presents the “Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models” tutorial at the May 2025 Embedded Vision Summit. Imagine a world where AI systems automatically detect thefts in grocery stores, ensure construction site safety and identify patient… “Unlocking Visual Intelligence: Advanced Prompt

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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