BRN Discussion Ongoing

Cracking summary as usual FF. Cheers.
I just ran around their website and pulled the following line:

“. The NASP chip is located right next to a sensor, forming the Tiny AI logical layer. It is an inference solution that uses already trained machine-learning models to make predictions”

So as we have found the chip is programmed in advance to do the task.

The quantum leap that AKIDA technology offers is the ability to add additional classes in the field via one shot and incremental learning.

Anil Mankar at the 2021 Ai Field Day at least referenced a factory processing apples that wants to switch to processing a new fruit that it has never processed before say oranges can just add them to AKIDA no other chip in the world offers this feature for on the fly learning.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Foxdog

Regular
We've got to get the basics right. Spelling people's name correctly is vitally important when representing BC on a global platform. I appreciate there are bigger things to get vexed about, but the simple things should be the easiest. End of rant.
View attachment 4264
It's the damn auto correct again 😖 FF warm up your edit button 😂
 
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KI-Computing breitet sich von der Cloud zum Edge aus miniaturisierten Hardware- und Softwarelösungen boomen
I have used Google to provide the following translation:
AI computing expands from cloud to edge miniaturized hardware and software solutions are booming

632955-1-0X3OJ.jpg

With the participation of major software and hardware manufacturers, the TinyML ecological chain is becoming more and more mature
The development of artificial intelligence is becoming more and more mature. In the initial stage, the cloud was mainly responsible for computing and inference. It has gradually expanded to the edge to pursue the goals of low latency, low energy consumption, and low cost. TinyML is a new technology trend of the recent rise of AI edge computing. The TinyML solution usually integrates hardware, algorithms and application software. Its advantage is that it can still collect and analyze sensor data under the condition of low energy consumption of the device. The energy consumption is usually mW (milliwatt) level or below, which is suitable for battery as AI computing applications that are powered by devices and need to be always on.
According to DIGITIMES Research, Google, Arm, Intel, Qualcomm and innovative application companies have participated in the TinyML ecological chain, accelerating the maturity of their software and hardware solutions. The development status of TinyML can be explained from three aspects. The first aspect is the inference architecture and platform aspect. TensorFlow Lite is Google's solution for embedded and IoT edge devices, which can assist developers to execute TensorFlow models on embedded devices and IoT devices. , TensorFlow Lite function is to convert the cloud training model and deploy the compressed prediction model to the edge device, and execute the prediction inference program.
In addition, Edge Impulse is an embedded machine learning development platform that can quickly build edge-side inference models on the platform and deploy them to embedded MCU devices for sensors, audio frequency, and computer vision. Machine vision prediction and inference can choose the OpenMV platform, which has the advantages of low cost and scalability, and can be used in face recognition, object classification, etc.
The second level is the representative of hardware solution chips, Arm Cortex-M series, Intel embedded chip VPU Movidius series, Qualcomm QCC MCU series, STMicroelectronics STM32 series, NXP Semiconductors NXP i.MX RT series, etc. At present, the architecture and platform hardware that can support TinyML are mainly based on Arm architecture Cortex-M series MCU; TensorFlow Lite platform is represented by Arduino Cortex-M4 series and STMicroelectronics Cortex-M7 STM32 series. The Edge Impulse platform is represented by the Eta Compute Cortex-M4 and STMicroelectronics Cortex-M4 STM32 series. The OpenMV platform is represented by OpenMV Cortex-M7 series and Sipeed Maix Bit series RISC-V processors.
It is worth noting that DIGITIMES Rersearch has observed the recent development trend of foreign manufacturers entering the TinyML field. For example, Ericsson, a telecom equipment indicator, has published many TinyML research propositions on its official website. Micro Electro Mechanical Systems (MEMS) The sensor company Bosch (Bosch Sensortec) also expressed its support for TinyML and developed the corresponding MEMS driver, indicating that the industry attaches great importance to the future market prospects of TinyML.
Level 3 is for innovative applications, representing manufacturers such as American business BabbleLabs (which has been acquired by Cisco), which uses AI technology in the Webex Meetings conference software to distinguish human speech from unnecessary noise to improve communication quality and user experience; Australian manufacturer Brainchip product Akida The series of MCUs provide vision, sound frequency and sensor applications, enabling machine learning on the MCU without retraining in the cloud. The American manufacturer Qeexo AutoML platform uses various algorithms to automatically construct machine learning models, which are suitable for industry, Internet of Things, wearable devices, automobiles, etc. The visual AI software developed by French manufacturer GrAI Matter Labs is used in edge devices such as drones, robots, and surveillance cameras that require low power consumption.
TinyML data sources are biometrics, action data, sensor data, voice data, video (image) data, etc., and are used in access control systems, automatic driving, energy management, predictive maintenance, remote monitoring, etc. Among them, commercialization is implemented. The case is the QuickLogic QuickAI series, an American businessman in the field of smart manufacturing. A sound and multi-axis motion sensor is installed on the device (motor), and the data received by the sensor is sent to the EOS S3 MCU to predict and infer the real-time health status of the device. Develop maintenance and repair plans with management.
The Seeed SenseCAP solution, a Chinese company in the field of smart agriculture, uses sensors to measure air and soil temperature, air and soil moisture, and soil salinity. The Raspberry Pi Arm Cortex-A7 processor predicts and deduces the best growth conditions. Provide a numerical reference scheme for improving the environment.
Research firm Gartner predicts that by 2025, 75% of AI processing will occur at the edge, and TinyML may develop a market value of more than $70 billion in the next five years. However, DIGITIMES Research believes that TinyML still needs to face the challenges of software, hardware and performance at present. MCUs with higher hardware specifications only have built-in 1MB NOR Flash and 512KB SRAM, and the storage code and other functions have taken up most of the space. In addition, running TensorFlow Lite requires 20KB NOR Flash and 4KB SRAM, which limits the choice of algorithm/application field.
In addition, using keywords to wake up the application MCU requires a long-term standby state, and the power consumption also generates high temperature and heat dissipation problems. There are also problems such as different chip instructions from various manufacturers, lack of unified infrastructure, and difficulty in transferring program syntax and experience. In addition, when the model is established, the relevant resources and plug-in software are insufficient, and it is difficult and time-consuming to deploy the model at the edge; the performance aspect is due to the large differences in the MCU specifications of various manufacturers, which makes it difficult for designers and developers to convert into equivalent performance specifications. Operational benefit analysis.
Summarizing the trend of AI edge computing, although the above challenges still need to be overcome by consensus among manufacturers in the ecological chain, and related industry players will be hesitant in the short term, but in the medium and long term, TinyML is still the general trend, coupled with the transmission of market concepts , Through demonstration and trial implementation, end users will gradually feel the many benefits of TinyML, and TinyML will certainly be able to significantly commercialize.
Icon: With the participation of major software and hardware manufacturers, the TinyML ecological chain is becoming more and more mature. Compiled by DIGITIMES Research, April 2022
 
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Foxdog

Regular
Now what was that witty retort we used to say in infants school.

I know your only jealous cause you can’t find the edit feature. 😎

It is next to the word ‘Report’ at the bottom of your post. A tiny arrow and dots come up after you have posted. Click the arrow and the word ‘edit’ appears along with the word ‘delete’.

FF

AKIDA BALLISTA
Double showoff - no returns 😉
 
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I have used Google to provide the following translation:
AI computing expands from cloud to edge miniaturized hardware and software solutions are booming

632955-1-0X3OJ.jpg

With the participation of major software and hardware manufacturers, the TinyML ecological chain is becoming more and more mature
The development of artificial intelligence is becoming more and more mature. In the initial stage, the cloud was mainly responsible for computing and inference. It has gradually expanded to the edge to pursue the goals of low latency, low energy consumption, and low cost. TinyML is a new technology trend of the recent rise of AI edge computing. The TinyML solution usually integrates hardware, algorithms and application software. Its advantage is that it can still collect and analyze sensor data under the condition of low energy consumption of the device. The energy consumption is usually mW (milliwatt) level or below, which is suitable for battery as AI computing applications that are powered by devices and need to be always on.
According to DIGITIMES Research, Google, Arm, Intel, Qualcomm and innovative application companies have participated in the TinyML ecological chain, accelerating the maturity of their software and hardware solutions. The development status of TinyML can be explained from three aspects. The first aspect is the inference architecture and platform aspect. TensorFlow Lite is Google's solution for embedded and IoT edge devices, which can assist developers to execute TensorFlow models on embedded devices and IoT devices. , TensorFlow Lite function is to convert the cloud training model and deploy the compressed prediction model to the edge device, and execute the prediction inference program.
In addition, Edge Impulse is an embedded machine learning development platform that can quickly build edge-side inference models on the platform and deploy them to embedded MCU devices for sensors, audio frequency, and computer vision. Machine vision prediction and inference can choose the OpenMV platform, which has the advantages of low cost and scalability, and can be used in face recognition, object classification, etc.
The second level is the representative of hardware solution chips, Arm Cortex-M series, Intel embedded chip VPU Movidius series, Qualcomm QCC MCU series, STMicroelectronics STM32 series, NXP Semiconductors NXP i.MX RT series, etc. At present, the architecture and platform hardware that can support TinyML are mainly based on Arm architecture Cortex-M series MCU; TensorFlow Lite platform is represented by Arduino Cortex-M4 series and STMicroelectronics Cortex-M7 STM32 series. The Edge Impulse platform is represented by the Eta Compute Cortex-M4 and STMicroelectronics Cortex-M4 STM32 series. The OpenMV platform is represented by OpenMV Cortex-M7 series and Sipeed Maix Bit series RISC-V processors.
It is worth noting that DIGITIMES Rersearch has observed the recent development trend of foreign manufacturers entering the TinyML field. For example, Ericsson, a telecom equipment indicator, has published many TinyML research propositions on its official website. Micro Electro Mechanical Systems (MEMS) The sensor company Bosch (Bosch Sensortec) also expressed its support for TinyML and developed the corresponding MEMS driver, indicating that the industry attaches great importance to the future market prospects of TinyML.
Level 3 is for innovative applications, representing manufacturers such as American business BabbleLabs (which has been acquired by Cisco), which uses AI technology in the Webex Meetings conference software to distinguish human speech from unnecessary noise to improve communication quality and user experience; Australian manufacturer Brainchip product Akida The series of MCUs provide vision, sound frequency and sensor applications, enabling machine learning on the MCU without retraining in the cloud. The American manufacturer Qeexo AutoML platform uses various algorithms to automatically construct machine learning models, which are suitable for industry, Internet of Things, wearable devices, automobiles, etc. The visual AI software developed by French manufacturer GrAI Matter Labs is used in edge devices such as drones, robots, and surveillance cameras that require low power consumption.
TinyML data sources are biometrics, action data, sensor data, voice data, video (image) data, etc., and are used in access control systems, automatic driving, energy management, predictive maintenance, remote monitoring, etc. Among them, commercialization is implemented. The case is the QuickLogic QuickAI series, an American businessman in the field of smart manufacturing. A sound and multi-axis motion sensor is installed on the device (motor), and the data received by the sensor is sent to the EOS S3 MCU to predict and infer the real-time health status of the device. Develop maintenance and repair plans with management.
The Seeed SenseCAP solution, a Chinese company in the field of smart agriculture, uses sensors to measure air and soil temperature, air and soil moisture, and soil salinity. The Raspberry Pi Arm Cortex-A7 processor predicts and deduces the best growth conditions. Provide a numerical reference scheme for improving the environment.
Research firm Gartner predicts that by 2025, 75% of AI processing will occur at the edge, and TinyML may develop a market value of more than $70 billion in the next five years. However, DIGITIMES Research believes that TinyML still needs to face the challenges of software, hardware and performance at present. MCUs with higher hardware specifications only have built-in 1MB NOR Flash and 512KB SRAM, and the storage code and other functions have taken up most of the space. In addition, running TensorFlow Lite requires 20KB NOR Flash and 4KB SRAM, which limits the choice of algorithm/application field.
In addition, using keywords to wake up the application MCU requires a long-term standby state, and the power consumption also generates high temperature and heat dissipation problems. There are also problems such as different chip instructions from various manufacturers, lack of unified infrastructure, and difficulty in transferring program syntax and experience. In addition, when the model is established, the relevant resources and plug-in software are insufficient, and it is difficult and time-consuming to deploy the model at the edge; the performance aspect is due to the large differences in the MCU specifications of various manufacturers, which makes it difficult for designers and developers to convert into equivalent performance specifications. Operational benefit analysis.
Summarizing the trend of AI edge computing, although the above challenges still need to be overcome by consensus among manufacturers in the ecological chain, and related industry players will be hesitant in the short term, but in the medium and long term, TinyML is still the general trend, coupled with the transmission of market concepts , Through demonstration and trial implementation, end users will gradually feel the many benefits of TinyML, and TinyML will certainly be able to significantly commercialize.
Icon: With the participation of major software and hardware manufacturers, the TinyML ecological chain is becoming more and more mature. Compiled by DIGITIMES Research, April 2022
Now I have extracted and repeated here the part relating to Brainchip which I have made bold:

Australian manufacturer Brainchip product Akida The series of MCUs provide vision, sound frequency and sensor applications, enabling machine learning on the MCU without retraining in the cloud.

I think @Sirod69 has cracked the veil of secrecy around Renesas. Renesas is producing a platform of MCU's according to the words of Sean Hehir Brainchip's CEO. Brainchip does not produce MCU's nor does anyone else using AKIDA technology so it seems highly probable that this statement that a series of MCU's for VISION, SOUND FREQUENCY AND SENSOR APPLICATIONS will be what comes out of Renesas shortly. Somehow the Asian writer of this article has been leaked this information.

Many thanks for generously sharing your find @Sirod69. Happy Easter.

My opinion and speculation only so DYOR
FF

AKIDA BALLISTA
 
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Hopefully Zach does not retaliate by replacing Anil’s i with an a
As English is Zach's first language, well actually American is, it would be very petty of him and he seemed bigger than that in the podcast he did with Rob Telson. LOL
 
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Build-it

Regular
[/QUOTE]
I will make it easier for you again and steal the following extract from @uiux over on the Intellisense thread. I have even highlighted the relevant parts including the uses outside of NASA for those who say there is no money to be made from NASA engagements:

Estimated Technology Readiness Level (TRL) :
Begin: 3
End: 4

Technical Abstract (Limit 2000 characters, approximately 200 words):
Intellisense Systems, Inc. proposes in Phase II to advance development of a Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). NECR is a low-size, -weight, and -power (-SWaP) cognitive radio built on the open-source framework, i.e., GNU Radio and RFNoC™, with new enhancements in environment learning and improvements in transmission quality and data processing. Due to the high efficiency of spiking neural networks and their low-latency, energy-efficient implementation on neuromorphic computing hardware, NECR can be integrated into SWaP-constrained platforms in spacecraft and robotics, to provide reliable communication in unknown and uncharacterized space environments such as the Moon and Mars. In Phase II, Intellisense will improve the NECR system for cognitive communication capabilities accelerated by neuromorphic hardware. We will refine the overall NECR system architecture to achieve cognitive communication capabilities accelerated by neuromorphic hardware, on which a special focus will be the mapping, optimization, and implementation of smart sensing algorithms on the neuromorphic hardware. The Phase II smart sensing algorithm library will include Kalman filter, Carrier Frequency Offset estimation, symbol rate estimation, energy detection- and matched filter-based spectrum sensing, signal-to-noise ratio estimation, and automatic modulation identification. These algorithms will be implemented on COTS neuromorphic computing hardware such as Akida processor from BrainChip, and then integrated with radio frequency modules and radiation-hardened packaging into a Phase II prototype. At the end of Phase II, the prototype will be delivered to NASA for testing and evaluation, along with a plan describing a path to meeting fault and tolerance requirements for mission deployment and API documents for integration with CubeSat, SmallSat, and rover for flight demonstration.

Potential NASA Applications (Limit 1500 characters, approximately 150 words):
NECR technology will have many NASA applications due to its low-SWaP and low-cost cognitive sensing capability. It can be used to enhance the robustness and reliability of space communication and networking, especially cognitive radio devices. NECR can be directly transitioned to the Human Exploration and Operations Mission Directorate (HEOMD) Space Communications and Navigation (SCaN) Program, CubeSat, SmallSat, and rover to address the needs of the Cognitive Communications project.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):
NECR technology’s low-SWaP and low-cost cognitive sensing capability will have many non-NASA applications. The NECR technology can be integrated into commercial communication systems to enhance cognitive sensing and communication capability. Automakers can integrate the NECR technology into automobiles for cognitive sensing and communication.

My opinion only DYOR
FF

AKIDA BALLISTA

To quote zeebot,
That escalated quickly. Anyway it has been dealt with now. Please carry on.

I have noticed he has been quiet of late, potentially doing some homework on what NASA represents.

Edge Compute.
 
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Happy Easter everyone. From FF & Blind Freddie.
1649920369906.png
 
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Just posted on LinkedIn by Markus Schäfer from Mercedes Benz

Thus, the #VISIONEQXX, as a new blueprint for #automotive engineering, has taken electric vehicle efficiency to a whole new level and its technology will be deployed in upcoming series-production Mercedes vehicles. Many of the innovative developments are already being integrated into production, some of them in the next generation of the modular architecture for compact and midsize Mercedes‑Benz vehicles.

Pushing the boundaries of technology has always been ingrained in our DNA. And there’s a lot more to come. We’ll keep testing the limits of what’s possible. Promised!


 
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Boab

I wish I could paint like Vincent
We've got to get the basics right. Spelling people's name correctly is vitally important when representing BC on a global platform. I appreciate there are bigger things to get vexed about, but the simple things should be the easiest. End of rant.
View attachment 4264
Like Shorn Hair.....Sorry, couldn't help myself.
 
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cosors

👀
Good morning,

Just letting you know that I'm organising another coffee/tea meet up in downtown Perth in late May or late June.
So the guys whom attended last time, here's another opportunity to rub shoulders with the Perth based team, lady shareholders are also welcome to join in, it's only a small group of a dozen.

It's an informal meet up, mainly to thank the Perth team in person and chat about Brainchip and technology in general, only one rule, no asking questions that will obviously cause embarrassment to the staff, by not being able to answer for legal reasons.

Good news is, I spoke with Peter last night, and he is happy to come along again...pretty good eh !

I'm contacting Tony, Adam and a number of other staff whom may wish to join in for an hour or so, for a positive, uplifting feeling focused on our company !

Stay tuned, there's plenty going on behind the scenes, all the company's hard work will be blossoming in the coming months, in my opinion of course...🚀;)
I think it's brilliant how you do it, you're just a great team! Avatars become faces. I marvelled at the photos from the bar!
By the way, I greatly expanded my position. Success seems to me to be a fait accompli ;)

Greetings from me and tell him that he has a fan who toasts him with Kölsch!
Download.jpg
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
The 1000 eyes are everywhere! View attachment 4255


I tried looking for my eyes in amongst those other ones and they're not in there, so there must be a mistake.



images.jpg


PS : My eyes are my second best feature, after my feet of course.

PSS: Happy EYES-TER everrybody!!!!
 
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D

Deleted member 118

Guest
Read a few people mentioning Broadcom, well if anything materialize from it I recon it might well be VR

9CD1B6A2-94E0-40B9-A3E7-0CCC2EE43CDB.png
 
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Dozzaman1977

Regular
Sheesh! I can't believe what I am reading! This article published 7 hours ago states "We should point out that, despite the potential outlined above, there is as yet no compelling demonstration of a commercial neuromorphic technology. Existing systems and platforms are primarily research tools."

I think I better email these guys ASAP to let them know about Akida and to re-assure them that BrainChip has already seized the opportunity!

Carpe diem! He-he-he!

🥳


Published 13 April 2022 (7 hours ago)

Brain-inspired computing needs a master plan​


Extract 1


Although not all data-intensive computing requires AI or deep learning, deep learning is deployed so widely that we must worry about its environmental cost. We should also consider applications including the Internet of Things (IoT) and autonomous robotic agents that may not need always to be operated by computationally intense deep learning algorithms but must still reduce their energy consumption. The vision of the IoT cannot be achieved if the energy requirements of the myriad connected devices are too high. Recent analysis shows that increasing demand for computing power vastly outpaces improvements made through Moore’s law scaling3. Computing power demands now double every two months (Fig. 1a). Remarkable improvements have been made through a combination of smart architecture and software–hardware co-design. For example, the performance of NVIDIA GPUs (graphics processing units) has improved by the factor of 317 since 2012: far beyond what would be expected from Moore’s law alone (Fig. 1b)—although the power consumption of units has increased from approximately 25 W to around 320 W in the same period. Further impressive performance improvements have been demonstrated at the research and development stage (Fig. 1b, red) and it is likely that we can achieve more4,5. Unfortunately, it is unlikely that conventional computing solutions alone will cope with demand over an extended period. This is especially apparent when we consider the shockingly high cost of training required for the most complex deep learning models (Fig. 1c). We need alternative approaches.

Extract 2

We should point out that, despite the potential outlined above, there is as yet no compelling demonstration of a commercial neuromorphic technology. Existing systems and platforms are primarily research tools. However, this is equally true of quantum computing, which remains a longer-term prospect. We should not let this delay the development of brain-inspired computing; the need for lower-power computing systems is pressing and we are tantalizingly close to achieving this with all the added functionality that comes from a radically different approach to computation. Commercial systems will surely emerge.

I got an email reply from the writers of the above ill informed research paper.......

Dear all,



Thank you for your interest and response. We are, of course, aware of the excellent work of Brainchip, but the purpose of the perspectives paper (not review) was not to provide a comprehensive account of all companies and research groups in the field but rather to serve as a call to arms to stimulate more investment and coordination. We hope that all in the area will benefit and are sorry that you feel overlooked. That certainly wasn’t our intention.



Thank you again for pointing out your exciting development, and we will make sure to acknowledge it in our future articles.



Kind regards,

Tony and Adnan

-------------------------------------------------------------------------
Dr Adnan Mehonic, Lecturer in Nanoelectronics
RAEng Research Fellow
Programme Director, MSc Nanotechnology
Department of Electronic & Electrical Engineering, UCL
Torrington Place, London WC1E 7JE
 
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Mercedes-Benz VISION EQXX demonstrates its world-beating efficiency in real world driving – over 1,000 km on one battery charge and average consumption of 8.7 kWh/100 km

Mercedes-Benz VISION EQXX demonstrates its world-beating efficiency in real world driving – over 1,000 km on one battery charge and average consumption of 8.7 kWh/100 km​

Press Contact​

mona.moll@mercedes-benz.com
rene.olma@mercedes-benz.com
simonette.illi@mercedes-benz.com
tobias.mueller@mercedes-benz.com
All Press Contact

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Apr 14, 2022
Stuttgart/Cassis
Successful first road trip takes electric vehicle efficiency to a new level
Stuttgart/Cassis. The VISION EQXX from Mercedes-Benz has now taken to the roads of Europe and has demonstrated its outstanding range and efficiency. Travelling from Sindelfingen across the Swiss Alps and Northern Italy, to its destination of Cassis on the Côte d'Azur, it effortlessly covered more than 1,000 km in everyday traffic, on a single battery charge. The journey started in cold and rainy conditions, and was undertaken at regular road speeds, including prolonged fast-lane cruising at up to 140 km/h on the German autobahn and near the speed limit elsewhere. The battery's state of charge on arrival was around 15 percent, amounting to a remaining range of around 140 kilometres, and the average consumption was a record-breaking low of 8.7 kWh per 100 kilometres.

The VISION EQXX has thus taken electric vehicle efficiency to a whole new level – in real-life conditions and with independent proof. The long-distance drive was completed with the charging socket sealed and accompanied by an independent expert from certification body TÜV Süd. This officially confirms the effectiveness of the new Mercedes-Benz development approach – thinking holistically about efficiency from the drivetrain to aerodynamics and beyond, down to the tiniest detail, as well as working with even greater interfunctional collaboration and with external partners. This new blueprint for automotive engineering has delivered a new benchmark for electric vehicle efficiency and range, and the technology in the VISION EQXX will be deployed in upcoming series-production Mercedes vehicles.
“We did it! Powering through more than 1,000 kilometres with ease on a single battery charge and a consumption of only 8.7 kWh/100 km in real-world traffic conditions. The VISION EQXX is the most efficient Mercedes ever built. The technology programme behind it marks a milestone in the development of electric vehicles. It underpins our strategic aim to ‘Lead in Electric’,” says Ola Källenius, Chairman of the Board of Management of Mercedes-Benz Group AG.
Ready for the longest road trip since the invention of electric mobility
There’s a reason why road trips have been a cultural touchstone for decades, telling stories from the highway in books, movies and music. The road trip defines freedom, individuality, the very spirit of the automobile and the passing world. Stick a pin in the map – and drive.
The journey to electric mobility is also a road trip; as exhilarating as it is challenging, as unknown as it is certain. For Mercedes-Benz, it is a journey with a clear goal – maximum efficiency through innovation. The VISION EQXX is the product of a holistic approach with innovations in all technical areas that have an impact on energy consumption. “With our successful road trip to the South of France, we’ve shown that efficiency is the new currency. And this success also clearly speaks for our new collaborative development process, incorporating many learnings from the Mercedes-AMG F1 team and its cutting-edge expertise in electric powertrains. The VISION EQXX is the result of a comprehensive programme that provides a blueprint for the future of automotive engineering. Many of the innovative developments are already being integrated into production, some of them in the next generation of modular architecture for compact and midsize Mercedes‑Benz vehicles. And the journey continues. With the VISION EQXX, we will keep testing the limits of what’s possible,” says Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group AG, Chief Technology Officer responsible for Development and Purchasing.
Challenging route profile and varying weather conditions
The VISION EQXX is packed with innovations. This software-defined research prototype is part of a far-reaching technology programme that combines the latest digital technology with Mercedes’ pioneering spirit, the agility of a start-up and the speed of Formula 1. The mission in developing the VISION EQXX was to break through technological barriers across the board. To show what is electrically “feasible”, the research vehicle completed a one-day road trip across several European borders: from Germany to Switzerland, on to Italy, past Milan and finally to its destination, the port town of Cassis near Marseille in the South of France.
The route profile – from motorway to mountain passes, including roadworks – and the weather conditions presented the VISION EQXX with a wide variety of challenges. Departing from the Sindelfingen R&D centre near Stuttgart in cold conditions, temperatures from start to finish ranged from 3 to 18 degrees Celsius. North of the Alps there was light rain and further south a gentle headwind blew in the sunshine. The various sections of the route helped document the effect of the many efficiency measures.
An excerpt from the trip log:
Up to 140 km/h on the motorway – low drag and rolling resistance pay off

The first leg from Sindelfingen to the north-eastern border of Switzerland runs along Autobahn 81. At times, the VISION EQXX sliced through the wind at speeds of up to 140 km/h. With its low cd value of 0.17, it gives the wind virtually nothing to grab hold of. This world-beating figure for a road-legal vehicle results from the intelligent interaction of many individual measures. It starts with the basic shape of the body, cradling the smooth-surfaced dome of the greenhouse as it flows elegantly like a water droplet towards the rear. Equally beneficial to the aerodynamics are the small frontal area of 2.12 m² and the reduced rear track. Because this is 50 mm narrower than at the front, the rear wheels roll in the slipstream of the front wheels. The active rear diffuser, which automatically deploys at 60 km/h, provides better airflow and thus contributes significantly to the reduced drag.
The technology vehicle gains further efficiency benefits from its tyres, with their extremely low rolling-resistance rating of 4.7. Bridgestone developed these specifically for the VISION EQXX in partnership with Mercedes-Benz. By way of comparison, the current EU tyre label requires a figure of 6.5 for the top rating in Class A. The EQS uses tyres with a rolling resistance of 5.9, which is significantly lower. With the VISION EQXX, Mercedes-Benz is now going one step further. A striking feature is the size of the new tyres. The dimensions 185/65 R 20 97 T mean they have a large diameter and a narrow tread. The specialist Turanza Eco tyres combine two innovative Bridgestone technologies that enable a higher range: ENLITEN technology reduces both rolling resistance and weight by up to 20 percent. The ologic technology reduces tyre deformation while driving, in part through a more tensioned belt section. In addition, the transition from the tyre to the wheel rim was optimised in cooperation with the Mercedes-Benz aerodynamics team.
Over the mountains – the lightweight dividend
The VISION EQXX's special features also include its carefully thought-through lightweight construction, which has a particularly positive effect on uphill climbs. Any keen cyclist knows why it’s always the same kind of rider out in front on mountain stages. The heavier, more muscular sprinters are always staring at the taillights of the wiry featherweights on the uphill slogs. The decisive factor is the power-to-weight ratio. It’s not about sheer performance in the sense of “faster; higher; further” but about endurance and lower energy consumption.
This is exactly what the VISION EQXX demonstrates impressively on the approach to the Gotthard Tunnel heading for Italy. On the section between Amsteg and Göschenen, there’s a 14-kilometre uphill stretch with a gradient of up to five percent. It is here, where every gram of extra weight eats up energy, that the VISION EQXX scores sustainable points with its unladen weight of only 1,755 kilograms.
The lightweight design concept of the VISION EQXX is comprehensive – from the materials used to innovative bionic structures that deliver a favourable power-to-weight ratio. Examples of this are the sustainable carbon-fibre-sugar composite material used for the upper part of the battery, which is also used in Formula 1, and the BIONEQXXTM rear floor, manufactured using an aluminium casting process. The light metal structural component replaces a much heavier assembly of several interconnected parts. It has gaps in places where structural strength is not required, thus saving material. This innovative design approach results in a weight saving of up to 20 percent compared to a conventionally manufactured component.
A large part of the weight efficiency is also due to the dedicated electric chassis with lightweight F1 subframe and aluminium brake discs. Another is the battery. At 100 kWh, the power storage unit developed specifically for the VISION EQXX has almost the same amount of energy as the battery of the EQS, which is already a global benchmark among electric cars currently on the market. However, it has 50 percent less volume and is 30 percent lighter. The outcome is that the compact battery, measuring just 200 x 126 x 11 cm, is also comparatively light at 495 kilograms and fits in a compact car. The electric drive was developed in cooperation with the experts from Mercedes-AMG Petronas F1 Team.
Back down the hill – recuperation is the name of the game
After the Gotthard Tunnel, the road goes downhill for a very long way. This is where the VISION EQXX makes the most of the situation in its own way. While the golden rule of the professional cyclist is to go full throttle downhill to make up time, the VISION EQXX does the unthinkable and regenerates its energy reserves. In electric cars, this is called recuperation, the recovery of braking energy. In this discipline, too, the VISION EQXX sets new standards thanks to its highly efficient electric powertrain.
The VISION EQXX can use the recuperation effect on any type of gradient and during every braking manoeuvre, thus extending its range. A positive side effect of this electric braking is that the mechanical brakes are barely used. This makes it possible for the first time to use new types of aluminium brake discs that weigh significantly less than their steel counterparts.
Solar roof – energy snack in sunny Italy
The VISION EQXX gets a hearty energy snack around midday in the Po Valley near Milan – not at the charging station, but via its fixed solar roof. The 117 solar cells feed the 12-volt battery, which supplies power to auxiliary consumers such as the navigation system. The added value is measurable through the load this removes from the high-voltage battery, displayed by the onboard computer. Overall, the solar booster increases the range by more than two percent – which adds up to a good 25 kilometres on a journey of over 1,000 kilometres.
Innovative eATS – powerful, frugal, enduring
The electric drive unit in the VISION EQXX – consisting of the electric motor, transmission and power electronics – was developed together with the F1 specialists at HPP, and has a peak output of 180 kW. Thanks to the torque available from the first rev of the motor and the very low aerodynamic and rolling resistance of the VISION EQXX, its full potential is barely tapped during the entire trip. Much more important than top performance are other factors. Just like the battery, the electric drive unit is compact, lightweight and highly efficient. Its average efficiency in this application is 95%. That means 95% of the energy from the battery ends up at the wheels.
This goes hand-in-hand with further efficiency benefits such as the reduction of losses in the drivetrain. The engineers at Mercedes-Benz have succeeded in reducing the total losses in the drivetrain (motor, inverter and transmission) by 44% compared to an e-drive that is not based on this project. This makes a big different to the bottom line, with one percent more efficiency bringing two percent more range. This effect is further amplified by the battery of the VISION EQXX, thanks to its remarkable energy density of almost 400 Wh/l and particularly high operating voltage of more than 900 volts. And on the topic of high voltage: The VISION EQXX marks the first use of this technology, which proves itself throughout the entire journey. With not a single problem such as line overheating, everything is well under control. There are further efficiency from the active cell balancing. It ensures that energy is drawn evenly from the cells during the journey, which increases the usable energy and thus the range even more.
Efficient thermal management system – passive powertrain cooling is all it takes
Since the electric drivetrain generates little waste heat thanks to its high efficiency, passive cooling is sufficient throughout the journey. The cooling plate in the underbody uses the airflow to ensure even cooling. This aerodynamically highly efficient solution increases the range by 20 kilometres, while the cd value remains unchanged at a low 0.17.
Even on the ascent to the Gotthard Tunnel, the air shutters remain closed. The air control system would only open an additional airpath if there was an increased demand for cooling the electric drive or for climate control inside the cabin on hot days or if the heat pump was running on cold days. The airpath then connects the high-pressure zone at the front of the vehicle with the low-pressure zones along the top of the bonnet. This enables highly efficient thermal management with minimal air resistance. With the shutters open, the cd value would increase by only seven points (0.007).
Efficiency assistant – actively helping to save energy
Whether e-drive or combustion engine, the amount of energy a motor consumes in practice ultimately depends a great deal on driving style. In Switzerland, Italy and France, “pedal to the metal” is not an option anyway, thanks to speed limits and attentive law-enforcement officers. However, the VISION EQXX also proves to be an intelligent sidekick, assisting the driver like a co-pilot with tips on the best possible driving style. The efficiency assistant provides information on energy flow, battery status, topography and even the direction and intensity of wind and sun.
The UI/UX features an all-new, one-piece display that spans the entire width of the interior. Elements of the user interface support seamless interaction between the driver and the vehicle. These include Artificial Intelligence (AI) that mimics the way the human brain works. In the VISION EQXX, Mercedes-Benz takes a radically new UI/UX approach. A game engine takes UI graphics to a whole new level. The UI shows how real-time graphics open up new digital possibilities by reacting instantly to the driver’s needs and bringing the real world into the vehicle.
Finale in France – crossing the finish line with around 140 kilometres of remaining range
Shortly before crossing the finish line in Cassis, the VISION EQXX gathered energy once more through recuperation. After 11 hours and 32 minutes of driving time, it ended its 1,008-kilometre road trip with a remaining range of around 140 kilometres. This means it could have set off again for a jaunt along the Mediterranean coastline without recharging.
The VISION EQXX has unequivocally proven the real-world potential of outstanding efficiency for electric vehicles. This first road trip to Cassis is a watershed moment on a much bigger journey that is far from over. There’s a lot more to come.
VISION EQXX: the trip log in figures
StartSindelfingen, April 5th, 2022, 7:00 a.m.
ArrivalCassis, April 5th, 2022, 7:02 p.m.
Travel routeSindelfingen, Gotthard Tunnel, Milan, Cassis
Driving distance1,008 kilometres
Total travel time/movement12 hours and 2 minutes/11 hours and 32 minutes
Average speed87.4 km/h
Maximum speed on motorway140 km/h
Average consumption8.7 kWh per 100 km
Battery charge level on arrival (SoC)around 15%
Remaining range on arrivalaround 140 km

VISION EQXX: the most important facts at a glance
#MissionAccomplished:
more than 1,000 km with a single battery charge in real everyday traffic allows for relaxed long-distance journeys.
#EnergyWizard: efficiency-enhancing measures lead to an outstandingly low consumption of 8.7 kWh per 100 km.
#AeroChamp: outstanding work in aerodynamics and exterior design enables a benchmark drag coefficient of 0.17, which has a particularly positive effect on fuel consumption at high speeds on the motorway.
#RollingEfficiency: tyres with a significantly lower rolling resistance than the class A required by the EU tyre label and improved aerodynamic geometry, combined with lightweight magnesium wheels, provide more range.
#ElectricDrive: the radically new drive concept developed by Mercedes-Benz achieves a benchmark efficiency of 95% from battery to wheels.
#PassiveCooling: innovative passive drivetrain cooling via a cooling plate in the underbody.
#BionicEngineering: advanced digital tools enable innovative lightweight designs that increase efficiency and range.
#SolarPower: ultra-thin roof panels feed the battery system and provide up to 25 km of additional range.
#SoftwareDriven: software-driven approach is the key to success in achieving efficiency targets and a fast development process, including a sophisticated battery management system.
#GlobalResponsibleLeadership: with the VISION EQXX, Mercedes-Benz is stepping up the pace to “Lead in Electric” and “Lead in Car Software” and to set standards for sustainable mobility.
VISION EQXX: the most important technical data at a glance
Energy content of the batterykWh< 100
Rated voltagevolts> 900
Energy consumptionkWh/100 km
(miles/kWh)
8.7
(7.1)
Cd value 0.17
Front face2.12
PowerkW180
Wheelbasemm2,800
Length/width/heightmm4,977/1,870/1,350
Unladen vehicle weightkg1,755
 
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"Efficiency assistant – actively helping to save energy
Whether e-drive or combustion engine, the amount of energy a motor consumes in practice ultimately depends a great deal on driving style. In Switzerland, Italy and France, “pedal to the metal” is not an option anyway, thanks to speed limits and attentive law-enforcement officers. However, the VISION EQXX also proves to be an intelligent sidekick, assisting the driver like a co-pilot with tips on the best possible driving style. The efficiency assistant provides information on energy flow, battery status, topography and even the direction and intensity of wind and sun.
The UI/UX features an all-new, one-piece display that spans the entire width of the interior. Elements of the user interface support seamless interaction between the driver and the vehicle. These include Artificial Intelligence (AI) that mimics the way the human brain works. In the VISION EQXX, Mercedes-Benz takes a radically new UI/UX approach. A game engine takes UI graphics to a whole new level. The UI shows how real-time graphics open up new digital possibilities by reacting instantly to the driver’s needs and bringing the real world into the vehicle."

At every turn of the Mercedes Benz EQXX wheel AKIDA keeps popping up.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Schwale

Regular
I got an email reply from the writers of the above ill informed research paper.......

Dear all,



Thank you for your interest and response. We are, of course, aware of the excellent work of Brainchip, but the purpose of the perspectives paper (not review) was not to provide a comprehensive account of all companies and research groups in the field but rather to serve as a call to arms to stimulate more investment and coordination. We hope that all in the area will benefit and are sorry that you feel overlooked. That certainly wasn’t our intention.



Thank you again for pointing out your exciting development, and we will make sure to acknowledge it in our future articles.



Kind regards,

Tony and Adnan

-------------------------------------------------------------------------
Dr Adnan Mehonic, Lecturer in Nanoelectronics
RAEng Research Fellow
Programme Director, MSc Nanotechnology
Department of Electronic & Electrical Engineering, UCL
Torrington Place, London WC1E 7JE
Exactly like Fact Finder said in an earlier post they were after funding to continue further research. İf they had mentioned Brainchip then who would provide them funding!
 
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Dhm

Regular
Last edited:
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Dhm

Regular
I got an email reply from the writers of the above ill informed research paper.......

Dear all,



Thank you for your interest and response. We are, of course, aware of the excellent work of Brainchip, but the purpose of the perspectives paper (not review) was not to provide a comprehensive account of all companies and research groups in the field but rather to serve as a call to arms to stimulate more investment and coordination. We hope that all in the area will benefit and are sorry that you feel overlooked. That certainly wasn’t our intention.



Thank you again for pointing out your exciting development, and we will make sure to acknowledge it in our future articles.



Kind regards,

Tony and Adnan

-------------------------------------------------------------------------
Dr Adnan Mehonic, Lecturer in Nanoelectronics
RAEng Research Fellow
Programme Director, MSc Nanotechnology
Department of Electronic & Electrical Engineering, UCL
Torrington Place, London WC1E 7JE
Sorry, I also published but a bit later than you. I am sure we have rattled their cage quite a bit!
 
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