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TechGirl

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Awesome T, thanks for sharing.

Below is link to tweet Blog, we are first on the list (y)


BLOG POST

Come Find Edge Impulse at Embedded World 2023​

EMBEDDED DEVICES
Mike Senese
8 March 2023

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Each year, all the big names in embedded computing gather at Embedded World in Nuremberg, Germany to show off their latest innovations and developments, to meet with partners and customers, and to learn about new advancements in their fields. This year, Embedded World is happening from March 14–16, and Edge Impulse is excited to once again be participating with a range of activities.

embedded world | …it's a smarter world
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First held in 2003, Embedded World is known as possibly the largest show in the world for the embedded industry. The exhibition focuses on products and services related to embedded systems, including hardware, software, and tools for developing and testing. The conference portion of the event features presentations and workshops from industry experts on a variety of topics, such as security, connectivity, and real-time operating systems. There’s a lot there for everyone.
With our machine learning toolkit that is ideally optimized for embedded applications, Edge Impulse and Embedded World are a perfect match. Here are some of the different places you will be able to find us and what we’ll be getting up to in each spot.
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Edge Impulse Booth
Hall 2, Booth 2-238
This year we will be hosting our own space in the TinyML Pavilion. Our booth will have a demo from BrainChip, showing off our FOMO visual object-detection algorithm running on the BrainChip Akida AKD1000, featuring their neuromorphic IP.
Also at the booth: Meet BrickML, the first product based on the Edge Impulse “Industrial Monitoring” reference design, focused on providing machine learning processing for industrial/machine monitoring applications. Built in collaboration with Reloc and Zalmotek, BrickML can be used to track numerous aspects of industrial machinery performance via its multitude of embedded sensors. We’ll be showing it in a motor-monitoring demonstration. BrickML is fully integrated into the Edge Impulse platform which makes everything from data logging from the device, to ML inference model deployment on to the device a real snap. (Our Industrial Monitoring reference design includes hardware and software source code to rapidly design your own product, available for Edge Impulse enterprise customers.)
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We’ll additionally be showing off devices from companies we work with, including Oura, the health-monitoring wearable that is discreetly embedded in a ring you wear on your finger, and NOWATCH, a wrist-based wearable that tracks your stress levels and mental well-being.
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Texas Instruments
Hall 3A, Booth 3A-215
In the TI booth you’ll find our Edge Impulse/Texas Instruments demo. This will show TI’s YOLOX-nano-lite model. The model was trained on a Kaggle dataset to detect weeds and crops. The dataset was loaded to Edge Impulse and the YOLOX model was trained via the “Bring Your Own Model” extensions to Edge Impulse Studio. The train model was then deployed to run on the TI Deep Learning framework.
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Advantech
Hall 3, Booth 3-339
Scailable will be displaying their Edge Impulse FOMO-driven object detection implementation at the Advantech booth. It uses the Advantech ICAM camera to distinguish small washers, screws, and other items on several different trays. They’ll be demonstrating different trays and different models for the demo, and showing how to train new models at the booth.
File:AVSystem logo.jpg - Wikimedia Commons

AVSystem
Demo at the Zephyr booth: Hall 4, Booth 4-170
AVSystems’ Coiote is a LwM2M-based IoT device-management platform, providing support for constrained IoT devices at scale. It integrates with a tinyML-based vibration sensor and can detect and report anomalies in vibrations. This demo is based on the Nordic Thingy:91, which runs the Zephyr OS, and uses the Edge Impulse platform.
The Things Conference

Arduino
Hall 2, Booth 2-238
Check out the “vineyard pest monitoring” vision demo, running on the Arduino Nicla Vision and MKR WAN 1310, built by Zalmotek and using Edge Impulse for machine learning.

Avnet: Quality Electronic Components & Services

Avnet
Hall 1, Booth 1-510
Come meet the new RASynBoard from Avnet, built in collaboration with Renesas, Syntiant, TDK, and Edge Impulse. “RASynBoard targets industrial and consumer applications needing battery powered, always-on, smart sensing capabilities, such as sound recognition, command recognition, vibration sensing and environmental sensing. Its small (30mm x 25mm) size makes it ideal as an add-on sensor module for existing products, or its design can be customized and integrated in a larger system for enhanced sensing needs.”
You'll also be able to find RASynBoard at the Abacus booth (3A-125) and the Silica booth (3A-111); the Silica booth will additionally show the Avnet RZBoard V2L, another excellent piece of hardware for which Edge Impulse is proud to offer support.
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Alif
Hall 4, Booth 4-544
Alif will also be hosting an Edge Impulse-powered demo to the show. It is viewable in their private conference room by appointment; contact kirtana@edgeimpulse.com to set up a meeting.
Press Kit | Synaptics

Synaptics panel, featuring Edge Impulse
Tuesday, 3/14 @ 3PM (local time)
Hall 1, Booth 500
Edge Impulse co-founder/CEO Zach Shelby will be a participant in the “Rapid Development of AI Applications on the Katana SoC” panel, brought to you by one of our partner companies, Synaptics, and moderated by Rich Nass from Embedded Computing Design.
Come find us!
In addition to these locations and scheduled events, we’ll have numerous staff members from Edge Impulse on site and ready to answer any questions you may have about our tools and use cases. Be sure to stop by to say hi.
(And if you can’t make it in person, you can always drop us a note: hello@edgeimpulse.com)
 
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Diogenese

Top 20
just did a dumpster dive into NXPs patents.

This one is interesting because it refers to semantic segmentation.



US2021406674A1 System and Method for Sensor Fusion System Having Distributed Convolutional Neural Network

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An early fusion network is provided that reduces network load and enables easier design of specialized ASIC edge processors through performing a portion of convolutional neural network layers at distributed edge and data-network processors prior to transmitting data to a centralized processor for fully-connected/deconvolutional neural networking processing. Embodiments can provide convolution and downsampling layer processing in association with the digital signal processors associated with edge sensors. Once the raw data is reduced to smaller feature maps through the convolution-downsampling process, this reduced data is transmitted to a central processor for further processing such as regression, classification, and segmentation, along with feature combination of the data from the sensors. In some embodiments, feature combination can be distributed to gateway or switch nodes closer to the edge sensors, thereby further reducing the data transferred to the central node and reducing the amount of computation performed there.

That's pretty ugly!
 
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Jasonk

Regular
@Fact Finder, @Diogenese , thanks for the response. I'll try and do more homework. Unfortunately, I dont think many will openly slap an "akida inside" label on the product... Few more people looking may uncover something more substantial than a release date, NPU and Arm being mentioned.
 
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goodvibes

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stockduck

Regular

".....
Grenoble --March 14, 2023. Dolphin Design, a leader in silicon IPs for Very Edge Computing embedding AI, is demonstrating at Embedded World 2023 its total solution for AI-based vision SoCs, which comprises a scalable and highly energy-efficient NN accelerator IP, an easy-to-use SDK, up to a library of efficient and ultra-compact AI models. The technology breakthrough from Dolphin Design is showcased through a device-like smart camera demonstrator called CamCube. It proves feasible to run AI-based vision applications, such as gesture recognition and tracking of people and hands, at a record-breaking budget of less than 1 mW with 20 frames per second, while fitting in less than 1MB of on-chip memory.
......
It embeds a demonstration chip specifically designed by Dolphin Design to prove, on silicon, the possibility of achieving unprecedent energy-efficiency through the combination of the company’s silicon IPs. The gesture recognition demonstration, which fits on the 1 MB RAM on-chip memory, runs within sub-mW power budget at 20 inferences per second. This is also made possible through the partnership with Neovision, an AI Engineering Consulting company, specializing in Deep Learning & Computer Vision. Neovision provides a new class of ultra-compact, but efficient, deep learning models for vision that leverages the unique capabilities of Raptor, the Dolphin Design’s NN accelerator IP.

......."

Could it be Akida IP in it?
??



"......
Quectel’s SG560D is a powerful smart module equipped with a Qualcomm® Kryo™ 670 CPU built on Arm v8 Cortex technology and a Qualcomm® Adreno™ 642L GPU. It also features 2 x HVX high-performance digital signal processing (DSP), which bring superior computing power to enable fast, high-quality data processing and make quicker, data-driven decisions. Tests indicate that the SG560D module can achieve computing performance of up to 14 trillion operations per second (TOPS).
......"


Is it possible that".....up to 14 trillion operations per second (TOPS)" works in an energy efficient way without Akida IP?
 
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Sirod69

bavarian girl ;-)
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D

Deleted member 118

Guest
Some random bloke going around embedded world today, visiting various stalls

 
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M_C

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BaconLover

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stuart888

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23E58C1E-E710-4F71-9E1A-4C2CB1638A12.jpeg
 
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chapman89

Founding Member
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Still five unnamed EAPs to go at least from the 2020 advice to shareholders:


“The company has partnered with several companies, including Toshiba, Cisco, and Linaro, to integrate its technology into their products.” -Teksun

My opinion only DYOR
FF

AKIDA BALLISTA
 
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equanimous

Norse clairvoyant shapeshifter goddess
 
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Still five unnamed EAPs to go at least from the 2020 advice to shareholders:


“The company has partnered with several companies, including Toshiba, Cisco, and Linaro, to integrate its technology into their products.” -Teksun

My opinion only DYOR
FF

AKIDA BALLISTA
I think it’s timely to remind shareholders of this:

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My opinion only DYOR
FF

AKIDA BALLISTA
 
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I wonder if chatGPT wrote that? Surely Teksun wouldn’t have been so careless in naming names in behalf of Brainchip.

We did have a podcast with the founder of Linaro back in early 2022 from memory.
And since the joint research centre initiative between Cisco and Brainchip Cisco seemed inevitable particularly where intelligent router security was concerned.

Toshiba has occasionally been a dot and at one point in the distant past I think Tech hinted at Toshiba as a possibility.

I personally would be surprised if Teksun used CHATGpt as they would know Brainchip is partnered with ARM, SiFive and Intel and why would you not check the content and it would stick out like the proverbial that they were not included.

I personally have no reason to doubt Teksun.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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I wonder if chatGPT wrote that? Surely Teksun wouldn’t have been so careless in naming names in behalf of Brainchip.

We did have a podcast with the founder of Linaro back in early 2022 from memory.
Sent an email to Tony, asking if the Company can comment 👍
 
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