Edge AI and Vision Insights: June 24, 2020 Edition

What do these five things have in common?

1. Augmented reality glasses for macular degeneration
2. A gigapixel microscope that captures detail over hundreds of square centimeters
3. An AI-powered data platform that helps with parking
4. 3D thermal imagers to help autonomous things, day or night
5. Algorithms that help robots see

They’re innovations by the five computer vision and visual AI start-ups that will be competing to win the coveted Judges’ Award (along with the Audience Choice award) in the Vision Tank Start-Up Competition, a live event taking place online from 9-10 am PT on July 16, 2020, sponsored by the Edge AI and Vision Alliance. This is your chance to watch as the finalists pitch their companies and products to a panel of judges in an effort to win the Judges’ Award. Then, cast your vote to help your favorite start-up win the Audience Choice award. And after the competition, talk with the finalists in live Q&A sessions. To learn more about the finalists, watch their pitch videos. And then register (for free!) to attend the Vision Tank Start-Up Competition on July 16 at 9 am PT!

Huge advances in computer vision and visual AI technologies are inspiring the launch of thousands of businesses. Sadly, most of these ventures will likely fail. In the Business Insights track at the upcoming Embedded Vision Summit, taking place online September 15-25, you’ll learn from experienced professionals who have launched, built and sold companies. They¹ll share what they¹ve learned—not only about what works but also about key challenges and how to address them. Check out the already announced talks in the Business Insights and other tracks for yourself. (We’re adding new talks daily, and it won’t be long before we’ll have nearly 100 talks across four tracks.) And then be sure to register today with promo code EARLYBIRDNL20-V to receive your Early Bird Discount!

For less than $300, you can enjoy a first-rate training created by a Google Developer Expert on how to use TensorFlow and Keras for deep learning on computer vision projects. Originally an in-person class offered at the Embedded Vision Summit, we’ve moved the training to an on-line, on-demand format — but with the same great content, Jupyter Notebook labs, and instructor office hours! Are you an engineer who wants to design intelligent computer vision systems that learn from complex or large-scale datasets? Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, today’s most popular framework for deep learning. See here for more information and to register; use discount code SUMMER20NL until July 31 for an additional 20% discount!

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

Current and Planned Standards for Computer Vision and Machine Learning
In this presentation, Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.

OpenCV: Past, Present and Future
In this talk, Gary Bradski, President and CEO of OpenCV.org, shares the latest developments in the OpenCV open source library for computer vision and deep learning applications, and previews where OpenCV is heading.

Using Blockchain and AI to Fight Deepfakes
The internet’s democratization of information is one of the most significant societal shifts of the last millennium, writes Fabrizio Del Maffeo, Head of Artificial Intelligence at Bitfury, in this essay. This shift, however, has not been without social cost. When anyone can share information, it is often difficult to know if it is accurate. Deepfakes, for example, pose a serious threat to democracies and legitimate governments across the world, not to mention individuals. Del Maffeo discusses various approaches being used to detect deepfakes, as well as those (such as blockchain) employed to label content as fake once identified as such.

Creating, Weaponizing,and Detecting Deepfakes
In this presentation, Shruti Agarwal, Ph.D. Candidate at U.C. Berkeley, explains how to use computer vision to detect “deepfakes.”

2020 Vision Tank Start-Up Final Competition Round: July 16, 2020, 9:00 am PT

Platform.ai Webinar – AI Training Data Image Labeling and Few-Shot Learning: Under the Hood with Platform.ai: July 23, 2020, 9:00 am PT

Embedded Vision Summit: September 15-25, 2020

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The Raspberry Pi Compute Module Goes Embedded with Vision Components’ MIPI Embedded Vision Kit

Qualcomm Launches 5G and AI-Enabled Robotics Platform

SLAMcore Raises $5 Million to Satisfy Spiking Demand for Robust Spatial AI

More News

NVIDIA Jetson Nano (Best AI Processor)
NVIDIA Jetson Nano is the 2020 Vision Product of the Year Award Winner in the AI Processors category. Jetson Nano delivers the power of modern AI in the smallest supercomputer for embedded and IoT. Jetson Nano is a small form factor, power-efficient, low-cost and production-ready System on Module (SOM) and Developer Kit that opens up AI to the educators, makers and embedded developers previously without access to AI. Jetson Nano delivers up to 472 GFLOPS of accelerated computing, can run many modern neural networks in parallel, and delivers the performance to process data from multiple high-resolution sensors, including cameras, LIDAR, IMU, ToF and more, to sense, process and act in an AI system, consuming as low as 5W.

Please see here for more information on NVIDIA and its Jetson Nano. The Vision Product of the Year Awards are open to Member companies of the Edge AI and Vision Alliance and celebrate the innovation of the industry’s leading companies that are developing and enabling the next generation of computer vision products. Winning a Vision Product of the Year award recognizes leadership in computer vision as evaluated by independent industry experts.

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

Lattice Semiconductor
Lattice Semiconductor provides smart connectivity solutions powered by low power, small form factor FPGA, 60 GHz millimeter wave, video ASSP and IP products to the consumer, communications, industrial, computing, and automotive markets worldwide.

VeriSilicon
VeriSilicon Microelectronics (Shanghai) Co., Ltd. (VeriSilicon) is committed to providing customers with platform-based, all-round, one-stop custom silicon services and semiconductor IP licensing services leveraging its in-house semiconductor IP.