Edge AI and Vision Alliance

“Introduction to Depth Sensing: Technologies, Trade-offs and Applications,” a Presentation from Think Circuits

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Chris Sarantos, Independent Consultant with Think Circuits, presents the “Introduction to Depth Sensing: Technologies, Trade-offs and Applications” tutorial at the May 2025 Embedded Vision Summit. Depth sensing is a crucial technology for many applications, including robotics, automotive safety and biometrics. In this talk, Sarantos provides an overview of depth sensing… “Introduction to Depth Sensing: Technologies, […]

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“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture

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Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches… “Lessons Learned Building and Deploying

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“Transformer Networks: How They Work and Why They Matter,” a Presentation from Synthpop AI

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Rakshit Agrawal, Principal AI Scientist at Synthpop AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2025 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential… “Transformer Networks: How They Work

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

Edge AI and Vision Alliance, Medical, Summit 2025, Videos /

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

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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

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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

Edge AI and Vision Alliance, Robotics, Software, Summit 2025, Videos /

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

Edge AI and Vision Alliance, Newsletters /

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

Algorithms, Edge AI and Vision Alliance, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

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

Algorithms, Edge AI and Vision Alliance, Memory, Processors, Robotics, Sensors and Cameras, Software, Tools, Videos /

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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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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