Edge AI and Vision Alliance

“Introduction to Computer Vision with Convolutional Neural Networks,” a Presentation from eBay

Mohammad Haghighat, Senior Manager for CoreAI at eBay, presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2024 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then… “Introduction to Computer Vision with […]

“Introduction to Computer Vision with Convolutional Neural Networks,” a Presentation from eBay Read More +

“Building Meaningful Products Using Complex Sensor Systems,” a Presentation from DEKA Research & Development

Dirk van der Merwe, Autonomous Robotics Lead at DEKA Research & Development, presents the “Building Meaningful Products Using Complex Sensor Systems” tutorial at the May 2024 Embedded Vision Summit. Most complex sensor systems begin with a simple goal—ensuring safety and efficiency. Whether it’s avoiding collisions between vehicles or predicting future… “Building Meaningful Products Using Complex

“Building Meaningful Products Using Complex Sensor Systems,” a Presentation from DEKA Research & Development Read More +

“Latest Trends in AI Semiconductors,” an Interview with D2D Advisory

Jay Goldberg, CEO and Founder of D2D Advisory, talks with Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision Alliance, for the “Latest Trends in AI Semiconductors” interview at the May 2024 Embedded Vision Summit. In this wide-ranging, insightful… “Latest Trends in AI Semiconductors,”

“Latest Trends in AI Semiconductors,” an Interview with D2D Advisory Read More +

“Entering the Era of Multimodal Perception,” a Presentation from Connected Vision Advisors

Simon Morris, Serial Tech Entrepreneur and Start-Up Advisor at Connected Vision Advisors, presents the “Entering the Era of Multimodal Perception” tutorial at the May 2024 Embedded Vision Summit. Humans rely on multiple senses to quickly and accurately obtain the most important information we need. Similarly, developers have begun using multiple… “Entering the Era of Multimodal

“Entering the Era of Multimodal Perception,” a Presentation from Connected Vision Advisors Read More +

“Federated ML Architecture for Computer Vision in the IoT Edge,” a Presentation from Cisco

Akram Sheriff, Senior Manager for Software Engineering at Cisco, presents the “Federated ML Architecture for Computer Vision in the IoT Edge” tutorial at the May 2024 Embedded Vision Summit. In this talk, Sheriff begins by introducing federated learning (FL) for computer vision in IoT edge applications. Federated learning is an… “Federated ML Architecture for Computer

“Federated ML Architecture for Computer Vision in the IoT Edge,” a Presentation from Cisco Read More +

“Innovative Applications of Computer Vision for Power Utility Infrastructure Inspection,” a Presentation from Buzz Solutions

Vikhyat Chaudhry, Co-Founder, Chief Technology Officer and Chief Operating Officer of Buzz Solutions, presents the “Innovative Applications of Computer Vision for Power Utility Infrastructure Inspection” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Chaudhry delves into an innovative application of computer vision for power utility infrastructure inspection.… “Innovative Applications of Computer Vision

“Innovative Applications of Computer Vision for Power Utility Infrastructure Inspection,” a Presentation from Buzz Solutions Read More +

Edge AI and Vision Insights: September 11, 2024

LETTER FROM THE EDITOR Dear Colleague, In a field as rapidly evolving as computer vision and edge AI, the exchange of diverse perspectives is crucial. That’s why, for the first time, we’re delighted to offer a limited number of free guest seats to the quarterly in-person Edge AI and Vision Forum for qualified individuals. It’s

Edge AI and Vision Insights: September 11, 2024 Read More +

“Better Farming through Embedded AI,” a Presentation from Blue River Technology

Chris Padwick, Director of Computer Vision Machine Learning at Blue River Technology, presents the “Better Farming through Embedded AI” tutorial at the May 2024 Embedded Vision Summit. Blue River Technology, a subsidiary of John Deere, uses computer vision and deep learning to build intelligent machines that help farmers grow more… “Better Farming through Embedded AI,”

“Better Farming through Embedded AI,” a Presentation from Blue River Technology Read More +

“Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI,” a Presentation from BenchSci

István Fehérvári, Director of Data and ML at BenchSci, presents the “Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI” tutorial at the May 2024 Embedded Vision Summit. Multimodal large language models represent a transformative breakthrough in artificial intelligence, blending the power of natural language processing with visual… “Unveiling the Power of Multimodal

“Unveiling the Power of Multimodal Large Language Models: Revolutionizing Perceptual AI,” a Presentation from BenchSci Read More +

“Making Alexa More Ambiently Intelligent with Computer Vision,” a Presentation from Amazon

Michael Giannangeli, Senior Manager of Product Management for Alexa Devices at Amazon, presents the “Making Alexa More Ambiently Intelligent with Computer Vision,” tutorial at the May 2024 Embedded Vision Summit. This presentation takes a behind-the-scenes look at the development and launch of adaptive content on Alexa Devices, which uses computer… “Making Alexa More Ambiently Intelligent

“Making Alexa More Ambiently Intelligent with Computer Vision,” a Presentation from Amazon Read More +

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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top