Edge AI and Vision Insights: July 8, 2020 Edition

On Thursday, July 23 at 9 am PT, platform.ai will deliver the free webinar “AI Training Data Image Labeling and Few-Shot Learning: Under the Hood with Platform.ai” in partnership with the Edge AI and Vision Alliance. The time it takes to accurately and comprehensively label training images remains one of the biggest problems in AI. Outsourcing the labeling effort is particularly ineffective in cases where subject
matter expertise is necessary to label the images or the images are confidential. Label accuracy in cases involving small training sets also remains a challenge. In this online presentation, platform.ai will discuss how the company employs a diversity of AI techniques to visualize image sets, facilitating mass expert labeling, as well as how it applies new few-shot learning approaches to solve for low-data cases. For more information and to register, please see the event page.

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!

At the upcoming Embedded Vision Summit, taking place online September 15-25, you’ll of course find top-quality talks on the practical aspects of image-based AI for real-world products. But that’s not all. These days, AI is being applied not only to image data, but also to many other types of sensor data: audio, vibration, radar, lidar and many others. In addition to vision-centric topics, at the Summit, you’ll also learn techniques and gain insights that will help you use AI effectively on other types of sensor data. Check out the already announced talks 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!

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

Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets
In this presentation, John Lorenz, Market and Technology Analyst at Yole Développement, shares his company’s latest analysis on the evolution of SoCs for imaging, vision and deep learning.

How To Choose the Best AI Processor for the Edge
We are in the middle of one of the largest technological revolutions in history, notes Fabrizio Del Maffeo, Head of Artificial Intelligence at Bitfury, in this essay. The growing popularity of the Internet of Things, combined with significant advances in artificial intelligence, will culminate in a wave of digital disruption, changing (and improving) many aspects of our online and offline worlds. But for this future to take hold, the way we design hardware will need to change as well — namely, shifting from the cloud to the edge and from traditional computing designs to AI architectures. Del Maffeo summarizes the latest trends and changes in computing related to AI and IoT, as well as providing some essential metrics for companies seeking to build solutions for AI/IoT devices.

PyTorch Deep Learning Framework: Status and Directions
In this presentation, Joseph Spisak, Product Manager at Facebook, gives an update on the Torch deep learning framework and where it’s heading.

How to Get Started with Deep Learning Frameworks
Developers don’t want to start from scratch every time they build a deep learning neural network, NVIDIA suggests in this guide to the top deep learning frameworks for AI research. Deep learning models are large and complex, so instead of writing every function from the ground up, programmers rely on frameworks and software libraries to create neural networks efficiently. Frameworks provide highly optimized, GPU-enabled code that is specific to deep neural network computations.

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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iniVation Dynamic Vision Platform (Best Camera or Sensor)
iniVation’s Dynamic Vision Platform is the 2020 Vision Product of the Year Award Winner in the Cameras and Sensors category. The Dynamic Vision Platform is the world’s most advanced complete neuromorphic vision system, enabling solution developers to create systems with unprecedented performance. It combines patented sensor technology with a high-performance software toolkit. The sensor emulates key aspects of the human retina, transmitting only pixel-level changes at microsecond time resolution and low system-level power.

Please see here for more information on iniVation and its Dynamic Vision Platform. 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!

Arrow Electronics
A global provider of products, services, and solutions, Arrow aggregates electronic components and enterprise computing solutions for customers and suppliers in industrial and commercial markets. The company maintains a network of more than 336 locations worldwide.

Avnet
Avnet is a global technology solutions provider with an extensive ecosystem delivering design, product, marketing and supply chain expertise for customers at every stage of the product lifecycle. Avnet transforms ideas into intelligent solutions, reducing the time, cost and complexities of bringing products to market.

BDTI
BDTI is the industry’s trusted source for analysis, advice, and engineering for embedded processing technology and applications. For over 25 years, BDTI has helped companies develop, choose, and use signal processing technology. BDTI has deep experience in computer vision and deep learning.

Intel
Intel is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, Intel continuously works to advance the design and manufacturing of semiconductors to help address its customers’ greatest challenges.

Perceive
Perceive develops breakthrough neural network inference solutions that push the performance-accuracy-power envelope, while protecting the security and privacy of consumers. Perceive enables device makers to deliver smarter products that understand their environment and respond intelligently.

Synopsys
Synopsys is the Silicon to Software partner for innovative companies developing electronic products and software applications. Synopsys has a long history of being a global leader in EDA and semiconductor IP and is also growing its leadership in software security and quality solutions.