BRN Discussion Ongoing

[Tony Coles]

Renesas is the number three supplier of MCU’s to the automotive sector and well ahead of Bosch which everyone has likely heard of.

However it seems clear that we need a motion at the AGM requiring Brainchip to cancel any IP licences not sold directly by Brainchip.

Apparently there is something wrong with those being sold by MegaChips on Brainchips behalf.

We only want customers buying their IP licences direct from Brainchip so the sales have to be announced on the ASX.

We don’t care about the money we just want the feel good factor.

I think we only need five hundred shareholders to request such a motion.

It’s just not good enough that Brainchip is allowing customers who want confidentiality to sign up via MegaChips.

We want Brainchip to double their sales and engineering staff, even triple them if necessary to make this happen.

The idea of keeping staff numbers low minimising overheads so that profit on IP sales and royalties can run to as high as 97% is a ludicrous idea.

All this sort of business plan will lead to is the payment of dividends early in the commercialisation process and who wants that.

My translation of the consequences of certain opinions only DYOR
FF

AKIDA BALLISTA

I for one agree with you FF, we wouldn’t want that “early dividends”, what a disgrace on behalf of the company, what were they thinking, certainly not about shareholders… where do I sign and vote for the motion.

 

[Fact Finder]

Yes they did and if I remember rightly the top 2 holder had around 150,000,000 shares each give or take a few million.

Which means neither Peter van der Made or Citi Nominees can be lending to shorts because their lent shares are sold to open the short position so they would drop off the shareholder register.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Zedjack33]

Which means neither Peter van der Made or Citi Nominees can be lending to shorts because their lent shares are sold to open the short position so they would drop off the shareholder register.

My opinion only DYOR
FF

AKIDA BALLISTA

May be a dumb question.

So who is lending?

 

[M_C]

Volkswagen announces five-year $193 billion investment plan as electrification gathers pace

More than two thirds of Volkswagen's planned five-year investment will target "electrification and digitalization."

www.cnbc.com

 

[Deena]

Not sure but someone posted the top holders and I remember seeing that close to that number

 

[jtardif999]

Renesas is the number three supplier of MCU’s to the automotive sector and well ahead of Bosch which everyone has likely heard of.

However it seems clear that we need a motion at the AGM requiring Brainchip to cancel any IP licences not sold directly by Brainchip.

Apparently there is something wrong with those being sold by MegaChips on Brainchips behalf.

We only want customers buying their IP licences direct from Brainchip so the sales have to be announced on the ASX.

We don’t care about the money we just want the feel good factor.

I think we only need five hundred shareholders to request such a motion.

It’s just not good enough that Brainchip is allowing customers who want confidentiality to sign up via MegaChips.

We want Brainchip to double their sales and engineering staff, even triple them if necessary to make this happen.

The idea of keeping staff numbers low minimising overheads so that profit on IP sales and royalties can run to as high as 97% is a ludicrous idea.

All this sort of business plan will lead to is the payment of dividends early in the commercialisation process and who wants that.

My translation of the consequences of certain opinions only DYOR
FF

AKIDA BALLISTA

That’s another one for the pool room

 

[Quatrojos]

It seems like we've stacked the cards at the Tiny ML pavilion...

 

[Sirod69]

Teksun IncTeksun Inc
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http://bit.ly/3YFICSw

 

[Bravo]

We’re third on the list Of Top Key Players.

I like this heading which states:

“According to the research report, the global neuromorphic computing market was valued at USD 4.34 billion in 2022 and is expected to reach USD 29.54 billion by 2032, to grow at a CAGR of 21.1% during the forecast period”

Read more: https://www.digitaljournal.com/pr/n...-cagr-of-21-1-from-2023-to-2032#ixzz7vw3qZLtj

 

[Terroni2105]

 

[Violin1]

If I was in Brainchip's shoes, I believe I would want the bulk of the customers signing licences with us through an intermediary such as Megachips. In doing so it eliminates the need to be transparent with the ASX about contract details about the financial specifics of said deal.

If someone has ever been involved in part of a multimillion dollar business deal, they would likely know it is unwise to let other customers / suppliers know the inner workings of a deal as it can work against you in future negotiations with other parties. The revenue however would speak for itself in the quarterlies.

Car dealers would be operating under very slim margins if they had to sell each car model at the absolute BEST price they have ever negotiated with a customer. In the real world - you earn more on some deals, you earn less on others.

The downside of this behind closed doors approach of course, is that we don't get the bragging rights and the skyrocketing SP based on a potential household name signing the dotted line in an official announcement. Instead, we would get appropriate SP re-rates based on revenue increases each quarter. The vibe I get from Tony Dawe's replies that some posters who have generously shared on this forum, is that he would personally like to see an IP licence announced officially as soon as possible. Maybe the company's executives share his view, maybe they don't. I don't care which way they play it to be honest, both seem favorable to me.

Yep. Nice one Dollars. And I trust our team to make the choice. There is absolutely zero, repeat zero, doubt that they are aligned with shareholder interests long-term and they have made good calls for us so far - otherwise we'd never have heard of LDA and would have been snapped up in the 6 cent range! 2023-24 gonna be good I think.

 

[Diogenese]

I think everyone must understand that Lithium Ion Batteries Have a an inherent quality that, conditions providing, will have a situation called Thermal Run-Away (Internal Shorting). This is a problem with most EVs. Not just Teslas. EV scooters, bikes, cars, buses. Fire Safety Services are now recommending that people do NOT charge devices in house due to fire risk. Read the News, regular reports of EV Battery fires. Any EV, until we find a reliable and efficient alterative to Lithium Ion Batteries at Economic Scale. Tech is coming, Batteries are improving and watch this space

Yes. I usually charge my phone in a ceramic bowl, even though they have very reliable charger controls.

 

[TechGirl]

Awesome T, thanks for sharing.

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

Come Find Edge Impulse at Embedded World 2023

Embedded World is happening from March 14–16, and Edge Impulse is excited to once again be participating with a range of AI activities.

www.edgeimpulse.com

BLOG POST

Come Find Edge Impulse at Embedded World 2023​

EMBEDDED DEVICES
Mike Senese
8 March 2023

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.

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.

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.)

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.

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.

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.

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.

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
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.

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.

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)

 

[Diogenese]

Thoughts from the tech heads?

View attachment 32117

NXP
View attachment 32118

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

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!

 

[Jasonk]

@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.

 

[goodvibes]

Day 1 at Embedded World - off to a great start with Alf Kuchenbuch Nandan Nayampally Gilles Bézard #tinyml BrainChip

Chris Stevens on LinkedIn: #tinyml

Day 1 at Embedded World - off to a great start with Alf Kuchenbuch Nandan Nayampally Gilles Bézard #tinyml BrainChip

www.linkedin.com

 

[stockduck]

At Embedded World 2023, Dolphin Design showcases AI-based vision applications at sub-mW level that fit in less than 1MB RAM

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...

www.design-reuse.com

".....
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.

......."

Embedded World 2023 - Accelerate Energy Efficient SoC designs - Dolphin Design

Powering the next generation of Edge AIoT devices with configurable and energy efficient Power Management, Processing and Audio Platforms

www.dolphin-design.fr

Could it be Akida IP in it?
??

Quectel showcases industrial smart color sorter solution with edge intelligence at Embedded World 2023

Quectel Wireless Solutions, a global IoT solutions provider, today announces how its latest smart module with machine compute and edge intelligence ca

www.businesswire.com

"......
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?

 

[Sirod69]

Anil Mankar likes



Sally Ward-FoxtonSally Ward-Foxton(She/Her) Senior Reporter at EE TimesSenior Reporter at EE Times
1 Std. • vor 1 Stunde
Called by Renesas Electronics booth to see first demo of AI running on Arm Cortex-M85 (on as-yet unannounced product). Running Plumerai
people detection/ tracking model in 77ms/5.9fps overall. #embeddedworld2023 #cortexm85 #ai

 

[Deleted member 118]

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

 

[M_C]

Nordic Thingy:53 IoT prototyping platform

The Thingy:53 is a multi-sensor prototyping platform designed for rapid wireless IoT and embedded machine learning development

www.nordicsemi.com