Technical Insights

“How Transformers are Changing the Direction of Deep Learning Architectures,” a Presentation from Synopsys

Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit. The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other […]

“How Transformers are Changing the Direction of Deep Learning Architectures,” a Presentation from Synopsys Read More +

“Embedded Vision in Robotics, Biotech and Education,” a Conversation with Dean Kamen

Dean Kamen, Founder of DEKA Research and Development, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Embedded Vision in Robotics, Biotech and Education” fireside chat at the May 2022 Embedded Vision Summit. In his 2018 keynote presentation at the Embedded Vision Summit, legendary inventor and technology visionary Dean Kamen

“Embedded Vision in Robotics, Biotech and Education,” a Conversation with Dean Kamen Read More +

“Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate,” an Alliance Interview with XY Sense

Luke Murray, Co-Founder and CTO of XY Sense, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate” interview at the May 2021 Embedded Vision Summit. In the U.S. alone, commercial buildings contain roughly 70 billion square feet of

“Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate,” an Alliance Interview with XY Sense Read More +

“Applying the Right Deep Learning Model with the Right Data for Your Application,” a Presentation from Vision Elements

Hila Blecher-Segev, Computer Vision and AI Research Associate at Vision Elements, presents the “Applying the Right Deep Learning Model with the Right Data for Your Application” tutorial at the May 2021 Embedded Vision Summit. Deep learning has made a huge impact on a wide variety of computer vision applications. But while the capabilities of deep

“Applying the Right Deep Learning Model with the Right Data for Your Application,” a Presentation from Vision Elements Read More +

“An Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision,” a Presentation from the University of Wisconsin – Madison

Sebastian Bauer, Postdoctoral Student at the University of Wisconsin – Madison, presents the “Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision” tutorial at the May 2021 Embedded Vision Summit. The single-photon avalanche diode (SPAD) is an emerging image sensing technology with unique capabilities relevant to computer vision applications. Originally designed for

“An Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision,” a Presentation from the University of Wisconsin – Madison Read More +

“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung

Patrick Bangert, Vice President of AI at Samsung, presents the “Highly Data-Efficient Deep Learning Approach” tutorial at the May 2021 Embedded Vision Summit. Many applications, such as medical imaging, lack the large amounts of data required for training popular CNNs to achieve sufficient accuracy. Often, these same applications suffer from an imbalanced class distribution problem

“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung Read More +

“Challenges in Vision-based Adaptive Traffic Control Systems,” a Presentation from Sahaj Software Solutions

Venkatesh Wadawadagi, Solution Consultant at Sahaj Software Solutions, presents the “Challenges in Vision-based Adaptive Traffic Control Systems” tutorial at the May 2021 Embedded Vision Summit. Adaptive traffic control systems (ATCSs) adjust traffic signal timing based on demand. Wadawadagi begins by presenting the main building blocks of a vision-based ATCS, including pre-processing, vehicle detection, vehicle classification

“Challenges in Vision-based Adaptive Traffic Control Systems,” a Presentation from Sahaj Software Solutions Read More +

“Deploying PyTorch Models for Real-time Inference On the Edge,” a Presentation from Nomitri

Moritz August, CDO at Nomitri GmbH, presents the “Deploying PyTorch Models for Real-time Inference On the Edge” tutorial at the May 2021 Embedded Vision Summit. In this presentation, August provides an overview of workflows for deploying compressed deep learning models, starting with PyTorch and creating native C++ application code running in real-time on embedded hardware

“Deploying PyTorch Models for Real-time Inference On the Edge,” a Presentation from Nomitri Read More +

“Secure Hardware Architecture for Embedded Vision,” a Presentation from NeuroBinder

Jonathan Cefalu, CEO and founder of NeuroBinder, presents the “Secure Hardware Architecture for Embedded Vision” tutorial at the May 2021 Embedded Vision Summit. Security is a problem for every IoT system, but due to privacy concerns, security is particularly worrisome for embedded vision systems. In this talk, Cefalu covers how to design your embedded device

“Secure Hardware Architecture for Embedded Vision,” a Presentation from NeuroBinder Read More +

“Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing,” a Presentation from Nedra

Alexander Belugin, Computer Vision Product Manager at Nedra, presents the “Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing” tutorial at the May 2021 Embedded Vision Summit. Deploying computer vision-based solutions in very remote locations (such as those often found in mining and oil drilling) introduces unique challenges. For example, it

“Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing,” a Presentation from Nedra 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