Videos on Edge AI and Visual Intelligence
We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.
Alliance Website Videos
“Three Big Topics in Autonomous Driving and ADAS,” an Interview with Valeo
Frank Moesle, Software Department Manager at Valeo, talks with Independent Journalist Junko Yoshida for the “Three Big Topics in Autonomous Driving and ADAS” interview at the May 2025 Embedded Vision Summit. In this on-stage interview, Moesle and Yoshida focus on trends and challenges in automotive technology, autonomous driving and ADAS.… “Three Big Topics in Autonomous
“Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles,” a Presentation from Valeo
Frank Moesle, Software Department Manager at Valeo, presents the “Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles” tutorial at the May 2025 Embedded Vision Summit. ADAS (advanced-driver assistance systems) software has historically been tightly bound to the underlying system-on-chip (SoC). This software, especially for visual perception, has been extensively optimized for… “Toward Hardware-agnostic ADAS Implementations for
“Object Detection Models: Balancing Speed, Accuracy and Efficiency,” a Presentation from Union.ai
Sage Elliott, AI Engineer at Union.ai, presents the “Object Detection Models: Balancing Speed, Accuracy and Efficiency,” tutorial at the May 2025 Embedded Vision Summit. Deep learning has transformed many aspects of computer vision, including object detection, enabling accurate and efficient identification of objects in images and videos. However, choosing the… “Object Detection Models: Balancing Speed,
“Depth Estimation from Monocular Images Using Geometric Foundation Models,” a Presentation from Toyota Research Institute
Rareș Ambruș, Senior Manager for Large Behavior Models at Toyota Research Institute, presents the “Depth Estimation from Monocular Images Using Geometric Foundation Models” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Ambruș looks at recent advances in depth estimation from images. He first focuses on the ability… “Depth Estimation from Monocular Images
“Introduction to DNN Training: Fundamentals, Process and Best Practices,” a Presentation from Think Circuits
Kevin Weekly, CEO of Think Circuits, presents the “Introduction to DNN Training: Fundamentals, Process and Best Practices” tutorial at the May 2025 Embedded Vision Summit. Training a model is a crucial step in machine learning, but it can be overwhelming for beginners. In this talk, Weekly provides a comprehensive introduction… “Introduction to DNN Training: Fundamentals,
“Introduction to Depth Sensing: Technologies, Trade-offs and Applications,” a Presentation from Think Circuits
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,
“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture
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
“Transformer Networks: How They Work and Why They Matter,” a Presentation from Synthpop AI
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
“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
“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
