BRN Discussion Ongoing

[Yak52]

Interesting info contained in the below advertisement from BrainChip. mid march expo.

*Now promoting publicly AKIDA1500
*applications in AloT , industrial, consumer and automotive markets ( still targeting the full range of potential uses)
*high-end video-object detection and ADAS/autonomous systems ( do you need a reminder WHO we are connected to in this area?)
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embeddedworld
March 14-16 , 2023 Nurnberg, Germany​

brainchip
Essential Al

learn more about the AKD1500 and how it can jumpstart the development of always-on, at-sensor applications or other low-power embedded applications in AloT, industrial, consumer, and automotive markets. Akida's fully digital, customizable, event-based Al neural processor can serve intelligent SoC solutions from energy-harvesting sensor solutions or medical devices with years of battery life to high-end video-object detection and ADAS/autonomous systems.

You'll find us at Booth 2-238 and other partner booths. We'll share more details soon!
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Yak52

 

[GazDix]

Ooohh can you share the excel file I'm pretty good at cracking password protected files

Just sent to you. For anyone else, here is the list:

https://www.embedded-world.de/en/exhibitors-products/exhibitors

Cheers,
Gazdix

 

[AARONASX]

Just sent to you. For anyone else, here is the list:

https://www.embedded-world.de/en/exhibitors-products/exhibitors

Cheers,
Gazdix

also

https://mc-e5b0d581-4409-4340-bc8b-9266-cdn-endpoint.azureedge.net/-/media/project/nuernberg-messe/embedded-world/embedded-world/pdfs/hallenplaene/embedded-n-pdf-halle3-20230215.pdf?rev=06df709947c94a96ade39341493e0436

 

[GazDix]

I think a few of us just received an email from Rob Telson about Embedded World 2023 in Germany.
He wrote that we are at booth 2 - 238 and other partner booths.

I downloaded the list of exhibitors to see who are with and beside. 2 - 238 is shared also by Aizip (US), Arduino Pro (Italy), Edge Impulse, Imagimob AB (Sweden), Nota AI (Korean), Syntiant Corp (US), tinyML Foundation (US).

Some of these I recognise by previous dot joining. For the others though, whether we are all partners or not, we are still close proximity together in the exhibition. Any of these ring any bells from previous dot joining?
Would dig myself, but the excel file was password protected to easily search through it so my eyes hurt now. Haha.

Aizip are partners with Renesas.
Imagimob are partners with Renesas and ARM.
Arduino are partners with Intel, but hard to say who the others are.
Nota AI are partners with Arm and Intel.
Syntiant Corp are partners with all the others on the list apart from Nota.

Brainchip are not listed as partners on any of the above websites.
I guess these companies could be the prime suspects for our next announced partners seieng they all deal with different aspects of Iot.

 

[Fullmoonfever]

I think a few of us just received an email from Rob Telson about Embedded World 2023 in Germany.
He wrote that we are at booth 2 - 238 and other partner booths.

I downloaded the list of exhibitors to see who are with and beside. 2 - 238 is shared also by Aizip (US), Arduino Pro (Italy), Edge Impulse, Imagimob AB (Sweden), Nota AI (Korean), Syntiant Corp (US), tinyML Foundation (US).

Some of these I recognise by previous dot joining. For the others though, whether we are all partners or not, we are still close proximity together in the exhibition. Any of these ring any bells from previous dot joining?
Would dig myself, but the excel file was password protected to easily search through it so my eyes hurt now. Haha.

Were you looking for just the total exhibitor list at embedded?

Can get it here from the website if so?

https://mc-e5b0d581-4409-4340-bc8b-9266-cdn-endpoint.azureedge.net/-/media/project/nuernberg-messe/embedded-world/embedded-world/pdfs/ausstellerliste/embedded-world-n-20230126-ausstellerliste-exhibitor-list-20230217.xlsx?rev=58e0dc36397648b1b8b7ee5dc37d9238&hash=71D8745533E9C2F41E3A1FD4A13FE258

 

[Techinvestor17]

Right??

I'm not sure when it became ok to confuse cash receipts with revenue and suddenly declare no sales.
Are people just regurgitating things without checking it's true?

Yea this has been a frustration point of mine. Poeple don’t seem to appreciate the difference.

 

[GazDix]

Were you looking for just the total exhibitor list at embedded?

Can get it here from the website if so?

https://mc-e5b0d581-4409-4340-bc8b-9266-cdn-endpoint.azureedge.net/-/media/project/nuernberg-messe/embedded-world/embedded-world/pdfs/ausstellerliste/embedded-world-n-20230126-ausstellerliste-exhibitor-list-20230217.xlsx?rev=58e0dc36397648b1b8b7ee5dc37d9238&hash=71D8745533E9C2F41E3A1FD4A13FE258

No, Rise From the Ashes was before to see if he could password crack it so we can search through the data easier.
I manually went through the data and found out which companies are at our booth with us. But I may have missed one.

 

[Fullmoonfever]

No, Rise From the Ashes was before to see if he could password crack it so we can search through the data easier.
I manually went through the data and found out which companies are at our booth with us. But I may have missed one.

This might help from my post last Thur?

BRN Discussion Ongoing

I would invest in THEZEEBOTHERALD IPO.....!!!

thestockexchange.com.au

I checked out the Embedded World site and appears BRN not appearing on their own as an Exhibitor yet (couldn't find them in a search) but I guess piggy backing with partners (existing...new?) or a late registration maybe?

You can check the floorplan and Exhibitor Listings in these links.

There is a sheet load gonna be there.

https://www.embedded-world.de/en/exhibitors-products/exhibitors

https://www.embedded-world.de/en/exhibit/plan-your-stand/floor-plan

Says we are at 2-238 which appears to be this one in Hall 2.

 

[miaeffect]

This might help from my post last Thur?

BRN Discussion Ongoing

I would invest in THEZEEBOTHERALD IPO.....!!!

thestockexchange.com.au

I checked out the Embedded World site and appears BRN not appearing on their own as an Exhibitor yet (couldn't find them in a search) but I guess piggy backing with partners (existing...new?) or a late registration maybe?

You can check the floorplan and Exhibitor Listings in these links.

There is a sheet load gonna be there.

https://www.embedded-world.de/en/exhibitors-products/exhibitors

https://www.embedded-world.de/en/exhibit/plan-your-stand/floor-plan

Says we are at 2-238 which appears to be this one in Hall 2.

You need to look closer

 

[Rise from the ashes]

Ok what do reckon about the legalities of cracking this since it's a file from a business?
After cracking one would be able to modify the document.
I'm going to do the smart thing and just opt out of this.

 

[GazDix]

This might help from my post last Thur?

BRN Discussion Ongoing

I would invest in THEZEEBOTHERALD IPO.....!!!

thestockexchange.com.au

I checked out the Embedded World site and appears BRN not appearing on their own as an Exhibitor yet (couldn't find them in a search) but I guess piggy backing with partners (existing...new?) or a late registration maybe?

You can check the floorplan and Exhibitor Listings in these links.

There is a sheet load gonna be there.

https://www.embedded-world.de/en/exhibitors-products/exhibitors

https://www.embedded-world.de/en/exhibit/plan-your-stand/floor-plan

Says we are at 2-238 which appears to be this one in Hall 2.

Nice one, sorry, I missed your post. Yes, exciting stuff.

 

[DingoBorat]

Mohd Amirrudin Esa​

Technology Leadership | Artificial Intelligence Data Science | UAV Robotics & Automation | Energy Sustainability | R&D | Product Development Smart Manufacturing | IR5.0 Cognitive Solutions

Brain-Inspired | Energy-Efficient | Lightning-Fast | NEUROMORPHIC

What do these pictures share in common?
- neuromorphic chip,
- mimic the structure & function of human brain
- use artificial neurons to process & transmit info
- learn and adapt to new information over time
- can perform computations in parallel,
- which can lead to more efficient processing
- can process sensory data, ie. images & sounds,
- make decisions based on that data
- energy-efficient, using only the necessary to perform a given task.

BrainChip, Intel, IBM and General Vision are among the leading companies developing neuromorphic chips at the moment.

- IBM, Intel, BrainChip, HRL Laboratories, and Applied Brain Research all offer neuromorphic computing hardware or software platforms for developing and testing artificial neural networks.
- IBM, Intel, and HRL Laboratories have each developed their own neuromorphic computing chips with unique features and designs.
- BrainChip's Akida chip is designed for edge computing applications such as image and speech recognition, while General Vision's NeuroMem technology can be used for tasks such as pattern recognition and anomaly detection.
- All of these companies are exploring ways to create more efficient and intelligent computer systems that can perform complex tasks by mimicking the structure and function of the human brain.

Neuromorphic chips are making edge AI better and more applicable by enabling AI algorithms to run directly on small devices, like sensors and drones, without needing to connect to a larger network. This is because neuromorphic chips are designed to process data in a way that is more similar to the human brain, allowing for more efficient and sophisticated computations. With these chips, edge devices can analyze and respond to data more quickly and accurately, which is essential for real-time applications like autonomous vehicles and smart sensors.

What many still do not realize is that these computations using neuromorphic architecture might soon challenge the performance of traditional architecture Supercomputer! but in much smaller size, more energy efficient and easily deployable.

#technology #data #development #energyefficiency #YOLO #python #AISoftware #objectdetection #autonomousmobility #potholes #autonomousdriving #drone #dronetech #smartuav #roadsafety #autonomousvehicles #ai #artificialintelligence #robotics #artificialneuralnetwork #edgecomputing #intelligentautomation #automation #convolutionalneuralnetworks #computervision #machinevision #imagerecognition #objectdetection #datascience #machinelearning #automation #digitaltransformation #innovation #neuralnetwork #InstanceSegmentation #safety #algorithms #future #digital #assetmonitoring #edgecomputing #edgeai #Akidachip #processor #semiconductor #computerchips #MinskyAIengine #lowpower #cognitiveanalytics #computervision #embeddedsystems #iiot #aiot #neuromorphic #internetofthings #autonomoussolution #autonomoussystems #anomalydetection #dronetechnology #5g #industrialautomation #generativeai #generativemodel #oilandgasindustry #powerindustry #industrialrobotics #robotics #distributedcomputing #droneautonomy #machineautonomy #cognitivesolutions

View attachment 30150

Does that many hash tags, increase the visibility of the article?

 

[VictorG]

According to RT, BRN will be located at booth 2-238 at the Embedded World 2023.
According to Embedded World's website, a company called AIZIP is in booth 2-238

AIZIP doesn't list BRN as partners but they do say they have new partnerships to be announced shortly.
Interestingly though AIZIP's link to their partnership with Renesas describes everything Akida does.

Partner Solution - Renesas - Person Access System - Aizip

aizip.ai

 

[M_C]

View attachment 30157

 

[Slade]

Behind the scenes Megachips is bringing Spiking Neural Networks (SNN) to Universities.

Social | MegaChips Corporation

www.megachips.co.jp

Collaborative Projects with Japanese Universities​

MegaChips is also collaborating with universities in Japan to take on the challenge of achieving new innovations.
This is an initiative for MegaChips’ mid- to long-term sustainable growth, which will contribute to the resolution of regional and social issues through collaboration with universities.

1. Collaborative Project with Nara Institute of Science and Technology​

Purpose of Research​

MegaChips is promoting the edge AI business as a new business to achieve a sustainable society. We have embarked on collaborative research with the Nara Institute of Science and Technology concerning “high-speed robot controls” by applying Spiking Neural Network (SNN) to high-rate 3D sensors.

Background of Project Launch​

The edge AI that MegaChips is working on aims AI branded sensors that directly connect the sensor to AI process. The data is then processed by the edge device into information required for the robotic system, which is passed on to the controller. By doing so, the entire system’s transmission volume can be reduced, resulting in an overall improvement of the entire system’s speed and latency. Especially in the industrial/FA field, high-speed and low-latency systems are desired for use cases, such as robotic arms and automated guided vehicles. In the industrial/FA field, we are starting research about AI-based action planning and high-speed control design of robots, with the aim of contributing to improved safety and work efficiency of robotic and other systems.

Research Initiatives​

Our goal is to establish technology for high-speed control (reflexive motion) of robots and provide technical feedback to our products to improve the superiority of our business.

• Application of low power consumption and high-speed processing AI HW by SNN to robots
• Investigation of quantization algorithm for model reduction and its application to reinforcement learning

2. Collaborative Project with Tokyo Metropolitan University​

Purpose of Research​

We are promoting business expansion in the growing markets of AI, robotics, and other fields. In collaboration with Tokyo Metropolitan University, we have commenced research on initiatives related to “Robot Intelligence Innovation Based on Local 5G for Super Real-Time Tracking” to realize a highly advanced, networked society in which everything is connected to the Web and equipped with AI technology.

Background of Joint Research​

The high-performance, compact, and ultra-low power consumption technology of edge AI that we are working on can contribute to the automation and autonomy of robots, such as personal mobility and automated guided vehicles. MegaChips is also participating in a consortium for a local 5G project. We aim to strategically launch and grow new businesses by building trust with new partners through proactive communication and the acquisition of new knowledge in the robotics field, where the market is expected to expand.

Research Initiatives​

In collaboration with the consortium members, we will identify issues and study prototyping for social implementation. MegaChips is responsible for the systematization infrastructure and will take on the challenge of achieving a society in which intelligent technology and robotic technology are integrated.

 

[Rise from the ashes]

Hey @Slade you given up drinking beer?
I miss those pics of you having a brew in beautiful background settings.

 

[TechGirl]

Prophesee named to La French Tech 120

Prophesee today announced it was named to the French Tech Next120 list, a recognition and support program for top startups from the French government.

www.prophesee.ai

​

Prophesee named to La French Tech 120​

PARIS – February 20, 2023 – Prophesee today announced it was named to the French Tech Next120 list, a recognition and support program for top startups from the French government. The prestigious annual list recognizes France’s highest performing startups confirmed by the amount of funds raised and/or hypergrowth of their revenues. Coming off a fundraise round that elevated the company to be the EU’s most well-funded fabless semiconductor startup, inclusion in the FT120 further solidifies Prophesee’s unique position as a European leader in the vision sensors ecosystem.

“We are pleased to have La French Tech’s support for our company’s vision. This recognition not only validates our strategy but underscores the growing importance of investment in deep tech, and semiconductors specifically here,” said Luca Verre, co-founder and CEO of Prophesee. “We are confident that France can be a significant actor in driving innovation across the global electronics industry in important sectors such as consumer devices, IoT, Industry 4.0 and automation. Our success in establishing a worldwide ecosystem and fast-growing community of 7,000+ partners, developers and innovators around our event-based vision approach is a testament to that.”

Launched in 2019 by the Mission French Tech, the French Tech Next40/120 is a program for the Government to support the most successful French start-ups, who have the potential to become world-class technology leaders. Selection criteria: The selection criteria for the class of 2023 were particularly demanding. The program is aimed at start-ups with the most potential, selected according to two complementary approaches:

● fundraising, testifying to the trust investors have in these companies: they had to have raised at least €40 million between 2020 and 2022, a threshold that has doubled in relation to the class of 2022 (40 companies selected among those eligible, in order of fundraising).
● hyper-growth, which testifies to the trust of these companies’ clients: they had to demonstrate a turnover of at least €10 million during the last closed fiscal year and showing an average growth of at least 25% during the last three closed fiscal years (40 companies selected from those eligible, in order of revenue).

Find all the information on the French Tech Next40/120 on the Mission French Tech website: www.lafrenchtech.com/en

 

[Fullmoonfever]

Nice one, sorry, I missed your post. Yes, exciting stuff.

Missing posts easy to do round here with so much info and digging by everyone

 

[Damo4]

Hey all, apologies if already been posted but I couldn't see it in the 3 seconds of searching I performed
Looks like the results were published in Nov 22.
Obviously not Akida but a great read on what NM tech is capable of.

Neuromorphic semiconductor device achieves world's highest handwriting pattern recognition rate

Neuromorphic semiconductor device achieves world's highest handwriting pattern recognition rate​

by National Research Council of Science & Technology

A diagram of battery material-incorporated next-generation neuromorphic semiconductor device with high-density and high-reliability (left) Photo and handwriting pattern recognition accuracy of a 3-terminal-based device with high density made of a thin film of lithium-ion (right). Credit: Korea Institute of Materials Science (KIMS)
A research team led by Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon has successfully developed the world's first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials. They achieved this by producing ultra-thin lithium ions, a key material of lithium-ion batteries that have been in the spotlight recently, and combining it with two-dimensional nano-materials. The research team is from the Surface & Nano Materials Division at the Korea Institute of Materials Science (KIMS).

A neuromorphic semiconductor device has synapses and neurons similar to the human brain, which processes and memorizes information. The synaptic device receives signals from neurons and modulates the synaptic weight (connection strength) in various ways to simultaneously process and store information. In particular, the linearity and symmetry of synaptic weights enables various pattern recognition with low power.
Traditional methods for controlling synaptic weights use charge traps between interfaces of heterogeneous materials or oxygen ions. In this case, however, it is difficult to control the movement of ions in the desired direction according to the external electric field. The researchers solved this problem with an artificial intelligence semiconductor device with high density by developing a thin film process while maintaining the mobility of lithium ions according to the external electric field. The thin film—with a thickness of several tens of nanometers—enables fine pattern processing while controlling the thickness of the wafer scale.
The research team developed the film using a vacuum sputtering deposition method that is used in general semiconductor processing. The thickness of the deposited film is less than 100 nanometers. After a transistor-type device on a silicon wafer substrate is manufactured and when an electric field is applied from the outside, the lithium ions in the charged lithium thin film move so that the conductivity of the channel can be precisely controlled.
The research team implemented an artificial neural network learning pattern using this synapse device and developed handwriting image pattern recognition. The artificial intelligence semiconductor device shows a handwriting pattern recognition rate of about 96.77% by maintaining the characteristics of finely adjusted synaptic weight even in an electric field repeated more than 500 times.
The research team stated, "Our next-generation neuromorphic semiconductor device does not require CPU and memory, the traditional Von Neumann-type information processing device and information storage device. It can simultaneously process and store information and learns and recognizes images such as handwriting patterns. It is expected to be applied to various low-power artificial intelligence devices such as world-class neuromorphic hardware systems, haptic devices, and vision sensors."
The results of the research were published in ACS Applied Materials & Interfaces on November 17, 2022. The research team is conducting follow-up research on low-power artificial intelligence devices and wearable edging devices

 

[Slade]

Hey @Slade you given up drinking beer?
I miss those pics of you having a brew in beautiful background settings.

No @Rise from the ashes I still enjoy a beer in a nice location. I will bring back the beer pics when we hit $5 and are all in full party mode.