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
DeGirum Demonstration of Streaming Edge AI Development and Deployment
Konstantin Kudryavtsev, Vice President of Software Development at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Kudryavtsev demonstrates streaming edge AI development and deployment using the company’s JavaScript and Python SDKs and its cloud platform. On the software front, DeGirum
Cadence Demonstrations of Generative AI and People Tracking at the Edge
Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Borkar demonstrates two applications running on customers’ SoCs, showcasing Cadence’s pervasiveness in AI. The first demonstration is of
“A Survey of Model Compression Methods,” a Presentation from Instrumental
Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, presents the “Survey of Model Compression Methods” tutorial at the May 2023 Embedded Vision Summit. One of the main challenges when deploying computer vision models to the edge is optimizing the model for speed, memory and energy consumption. In this talk, Feyzkhanov… “A Survey of Model Compression
“Reinventing Smart Cities with Computer Vision,” a Presentation from Hayden AI
Vaibhav Ghadiok, Co-founder and CTO of Hayden AI, presents the “Reinventing Smart Cities with Computer Vision” tutorial at the May 2023 Embedded Vision Summit. Hayden AI has developed the first AI-powered data platform for smart and safe city applications such as traffic enforcement, parking and asset management. In this talk, Ghadiok presents his company’s privacy-preserving
“Learning for 360° Vision,” a Presentation from Google
Yu-Chuan Su, Research Scientist at Google, presents the “Learning for 360° Vision,” tutorial at the May 2023 Embedded Vision Summit. As a core building block of virtual reality (VR) and augmented reality (AR) technology, and with the rapid growth of VR and AR, 360° cameras are becoming more available and more popular. People now create,
“90% of Tech Start-Ups Fail. What the Other 10% Know,” a Presentation from Connected Vision Advisors
Simon Morris, Executive Advisor at Connected Vision Advisors, presents the “90% of Tech Start-Ups Fail. What Do the Other 10% Know?” tutorial at the May 2023 Embedded Vision Summit. Morris is fortunate to have led three tech start-ups with three successful exits. He received a lot of advice along the way from venture investors, co-founders,
“Efficient Many-function Video ML at the Edge,” a Presentation from Cisco Systems
Chris Rowen, Vice President of AI Engineering for Webex Collaboration at Cisco Systems, presents the “Efficient Many-function Video ML at the Edge,” tutorial at the May 2023 Embedded Vision Summit. Video streams are so rich, and video workloads are so sophisticated, that we may now expect video ML to supply many simultaneous insights and transformations.
“Introduction to Optimizing ML Models for the Edge,” a Presentation from Cisco Systems
Kumaran Ponnambalam, Principal Engineer of AI, Emerging Tech and Incubation at Cisco Systems, presents the “Introduction to Optimizing ML Models for the Edge” tutorial at the May 2023 Embedded Vision Summit. Edge computing opens up a new world of use cases for deep learning across numerous markets, including manufacturing, transportation, healthcare and retail. Edge deployments
“Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-aware Algorithms,” a Presentation from Arizona State University
Jae-sun Seo, Associate Professor at Arizona State University, presents the “Efficient Neuromorphic Computing with Dynamic Vision Sensor, Spiking Neural Network Accelerator and Hardware-aware Algorithms” tutorial at the May 2023 Embedded Vision Summit. Spiking neural networks (SNNs) mimic biological nervous systems. Using event-driven computation and communication, SNNs achieve very low power consumption. However, two important issues
“Item Recognition in Retail,” a Presentation from 7-Eleven
Sumedh Datar, Senior Machine Learning Engineer at 7-Eleven, presents the “Item Recognition in Retail” tutorial at the May 2023 Embedded Vision Summit. Computer vision has vast potential in the retail space. 7-Eleven is working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems to fully automated cashierless stores.
