Edge AI and Vision Insights: April 9, 2025

LETTER FROM THE EDITOR

Dear Colleague,

Where can you see all the latest vision and AI building-block technologies in one place? At the Technology Exhibits at the 2025 Embedded Vision Summit, May 20-22 in Santa Clara, California! A past attendee says it best:

“Normally, you’re insulated by several layers of bureaucracy from contacting the people who are actually building and shaping things as they’re happening. The Summit has been a fantastic forum to talk directly to the people who are making things happen and learn from them.”

-Pete Warden, CEO, Useful Sensors

We have an incredible lineup of exhibitors and sponsors at the forefront of AI and computer vision. It’s a unique opportunity to explore the latest processors, cameras, algorithms, libraries and tools—to see them yourself, learn how they work and get your questions answered by the designers themselves!

Brian Dipert
Editor-In-Chief, Edge AI and Vision Alliance

CLOUD-TO-EDGE DEVELOPMENT AND DEPLOYMENT

Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency

A cloud-to-edge deep learning pipeline is a fully automated conduit for training and deploying models to the edge. This enables quick model retraining and makes the solution more robust toward data shifts. Cloud-to-edge pipelines are pivotal for many applications, from autonomous vehicles to smart city infrastructure. One of the main challenges with cloud-to-edge deep learning pipelines is ensuring that there is no discrepancy between edge and cloud model performance. In this 2024 Embedded Vision Summit presentation, Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, introduces cloud-to-edge deep learning pipelines. He then delves into key techniques for testing cloud-to-edge deep learning pipelines. He explores the architecture of these pipelines, emphasizing the synergy between cloud processing and edge-based inference. Key focuses include tailored testing strategies (unit, integration, system testing); balancing simulated and real-world scenarios; and evaluating performance metrics beyond accuracy, such as latency and resource utilization. Aimed at professionals, this presentation offers practical insights for developing robust, efficient ML systems. (Want to learn more about migrating designs from the cloud to the edge? Attend the 2025 Embedded Vision Summit! Check out the program here.)

Using Computer Vision-powered Robots to Improve Retail Operations

In this recent Edge AI and Vision Innovation Forum presentation from Durgesh Tiwari, VP of Hardware Systems and R&D at Simbe Robotics, you’ll learn how Simbe Robotics’ AI- and CV-enabled robot, Tally, provides store operators with real-time intelligence to improve inventory management, streamline operations, and provide better shopper experiences. Tiwari explores key challenges his company has overcome in building multimodal shelf intelligence, now deployed chain-wide across three continents and five industries.(Interested in learning more about computer vision for retail and other robotics applications? Check out the 2025 Embedded Vision Summit program here, and then register today!)

TECHNOLOGY SUPPLIER AND DEVELOPER INSIGHTS

Latest Trends in AI Semiconductors

In this wide-ranging, insightful and lively 2024 Embedded Vision Summit discussion between Jay Goldberg, CEO and Founder of D2D Advisory, and Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision Alliance, you’ll hear unique perspectives on the latest trends in the AI semiconductor industry. Goldberg has years of experience covering semiconductors and has written on topics ranging from China to chiplets. He and Lapsley cover, for example, the impact of AI at the edge, how transformer networks change everything, Intel’s hopes and Qualcomm’s dreams. (For more insights on processors, sensors and other computer vision and AI building blocks, attend the 2025 Embedded Vision Summit! Check out the program here.)

May 2024 Embedded Vision Summit Vision Tank Competition Finalist Presentations

The Vision Tank session at the 2024 Embedded Vision Summit introduced startup companies that incorporate visual intelligence in their products in an innovative way and who are looking for investment, partnerships, technology, and customers. In a lively, engaging, and interactive format, Patrick Lohman, CEO and Co-Founder of Cloneable, Nasim Sahraei, Chief Product Officer at Edgehog Advanced Technologies, Brad Chisum, CEO of eyepop.ai, Kwabena Agyeman, President and CEO of OpenMV, and Gor Hakobyan, CTO of Waveye, competed for awards and prizes as well as benefiting from the feedback of an expert panel of judges: Vin Ratford, CEO of Piera Systems and Executive Director of the Edge AI and Vision Alliance, Shweta Shirvastava, Senior Product Leader at Waymo, Forrest Iandola, AI Research Scientist at Meta, and John Feland, Master of Ceremonies and Data Whisper and Design Thinker. (To meet with companies like these, big and small alike, visit the Technology Exhibits at the 2025 Embedded Summit! Check out the Sponsor and Exhibitor Directory here, and then register today!)

UPCOMING INDUSTRY EVENTS

Embedded Vision Summit: May 20-22, 2025, Santa Clara, California

More Events

FEATURED NEWS

VeriSilicon Launches ISP9000, Its Next-generation AI-embedded ISP for Intelligent Vision Applications

NVIDIA Announces the Isaac GR00T N1 Open Humanoid Robot Foundation Model and Simulation Frameworks

AMD Unveils 5th Generation EPYC Embedded Processors Delivering Performance, Efficiency and Long Lifecycles for Industrial Edge and Other Markets

Intel Accelerates AI at the Edge Through an Expanded Open Hardware and Toolset Ecosystem

Synaptics Extends Its Edge AI Portfolio with High-Performance Adaptive MCUs for Multimodal Context-aware Computing

More News

EMBEDDED VISION SUMMIT SPONSOR SHOWCASE

Attend the Embedded Vision Summit to meet these and other leading computer vision and edge AI technology suppliers!

Network Optix

Network Optix is revolutionizing the computer vision landscape with an open development platform that’s far more than just IP software. Nx Enterprise Video Operating System (EVOS) is a video-powered, data-driven operational management system for any and every type of organization. An infinite-scale, closed-loop, self-learning business operational intelligence and execution platform. An operating system for every vertical market. Just add video.

Qualcomm

Qualcomm is enabling a world where everyone and everything can be intelligently connected. Our one technology road map allows us to efficiently scale the technologies that launched the mobile revolution—including advanced connectivity, high-performance, low-power compute, on-device intelligence and more—to the next generation of connected smart devices across industries. Innovations from Qualcomm and our family of Snapdragon platforms will help enable cloud-edge convergence, transform industries, accelerate the digital economy and revolutionize how we experience the world, for the greater good.

EMBEDDED VISION SUMMIT PARTNER SHOWCASE

EE Times

EE Times is a leading online resource and trusted voice in the world of electronics and technology. Dedicated to serving engineers, developers, and tech enthusiasts, EE Times delivers cutting-edge news, expert analysis, and in-depth coverage of the latest innovations, trends, and breakthroughs in the global tech industry.

EDN

EDN is an online community tailored for electronics design engineers. It serves as a hub for industry news, trends, and practical content for engineers and engineering managers worldwide.

Embedded.com

Embedded.com is a publication dedicated to embedded systems designers and developers, covering all aspects of embedded systems design and development, including hardware, software, and programming.

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
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