BRN Discussion Ongoing

[Bravo]

This is a MUST READ white-paper from Qualcomm "The future of AI is hybrid — Part I: Unlocking the generative AI future with on-device and hybrid AI" - MAY 2023

The opportunities at the edge abound!

https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets/documents/Whitepaper-The-future-of-AI-is-hybrid-Part-1-Unlocking-the-generative-AI-future-with-on-device-and-hybrid-AI.pdf

 

[Iseki]

Exactly.
These are exactly the targeted type of individuals and groups we want our chief salesman to be rubbing shoulders with, establishing communication and friendship channels with and exhibiting first hand what we have to offer as well as getting clues about where the competition is at, and refining what our potential customers are seeking.
These people are the decision makers for their respective companies or at least have input at the highest levels.
I've experienced some one on one time with Sean and that is where he shines, mixing it and enthusiastically telling our story.
Otherwise he can do a thousand podcasts and interviews and presentations (which we all eat up like honey), but the chance of any of that filtering up to any of those 80 odd (busy) people in the world who can and will commit significant money to try us and use us, is slim.
Personally I disliked these talk fest's when I was working, but have seen the results they can bring.
It is the way of the world and the trope "it's not what you know, but who" still carries a lot of weight in business circles.
Everything has to get signed off by techs and lawyers of course, but in my experience "the deal" is usually done on a handshake, or on the golf course, or over a meal.

12 months of this, and the board will be vacated for re-election. Is that what you want? I don't.
Deals aren't made on the golf course. They are made when they see a market leader buy your product, and followers follow.

 

[Doz]

Now they have posted a similar article but with a different subject:

"Benefits of Neuromorphic Computing for Smart Energy Management and Grid Control​

• Posted by: Marcin Frąckiewicz
• to XX.JA
• Posted on: 13 Jun 2023

0

Exploring the Potential of Neuromorphic Computing to Power Smart Energy Management​

Smart energy management systems are revolutionizing the way we interact with and use energy. As the world continues to move towards a more sustainable energy future, the need for smarter and more efficient energy management systems becomes increasingly important. To meet this need, researchers are exploring the potential of neuromorphic computing to enhance smart energy management.
Neuromorphic computing is a type of computing that mimics the neural networks of the human brain. By leveraging the principles of artificial intelligence , neuromorphic computing can provide energy managers with more efficient and reliable ways to manage and optimize energy consumption.
Neuromorphic computing can be used to monitor the energy consumption of individual devices as well as entire systems. This allows energy managers to quickly identify system inefficiencies and make necessary adjustments to optimize energy consumption. In addition, neuromorphic computing can be used to predict future energy demand, giving energy managers time to plan and prepare for future energy demand.
Neuromorphic computing can also be used to improve energy security. Using AI-enabled algorithms, energy managers can detect energy usage anomalies and quickly identify potential threats. This helps ensure the safety and reliability of your energy system.
Finally, neuromorphic computing can be used to create more intelligent and efficient energy management systems. By integrating AI into energy management systems, energy managers can create more responsive and adaptive systems that can quickly respond to changes in energy demand. This helps reduce waste and maximize energy efficiency.
Overall, neuromorphic computing has the potential to revolutionize how we manage and optimize energy. By integrating AI into energy management systems, energy managers can create more intelligent and efficient systems that help ensure the safety, reliability and efficiency of energy supplies.

How Neuromorphic Computing Streamlines Grid Control Systems​

The introduction of neuromorphic computing into grid control systems could revolutionize the way such systems are managed. Neuromorphic computing is a form of artificial intelligence (AI) inspired by the structure and function of the human brain. This technology uses specialized circuitry to simulate the way neurons in the brain interact with each other. In other words, neuromorphic computing mimics the behavior of neurons in the brain to enable machines to think more like humans.
One of the ways neuromorphic computing streamlines grid control systems is by allowing machines to learn from their environment. Neuromorphic computing uses sensors and AI algorithms to detect patterns in data in real time and can adapt to changes in the environment. This makes the grid control system more sensitive to changes in power demand and supply, potentially improving efficiency and reliability.
Another way neuromorphic computing can streamline grid control systems is by allowing machines to make decisions based on their environment. Using AI algorithms, neuromorphic computing can predict how best to adjust the grid to optimize performance. This could improve power delivery and reduce costs associated with maintaining the grid.
Finally, neuromorphic computing can also be used to improve the security of grid control systems. By using AI algorithms, neuromorphic computing can detect system anomalies and take appropriate measures to prevent malicious intrusions. This could ensure that the grid is protected from cyberattacks.
Overall, the introduction of neuromorphic computing into grid control systems has the potential to significantly improve the efficiency, reliability, and security of such systems. Neuromorphic computing has the potential to revolutionize the way grid control systems are managed by enabling machines to learn from their environment and make data-driven decisions in real time.

Exploring the Benefits of Neuromorphic Computing for Smart Energy Management​

Smart energy management is becoming increasingly important in the face of rising energy costs and environmental concerns. To this end, neuromorphic computing has the potential to revolutionize how energy systems are managed.
Neuromorphic computing is a form of artificial intelligence that mimics the functions of the human brain. It is based on neural network principles and designed to be very efficient, making it an ideal tool for energy management.
Neuromorphic computing is more efficient than traditional computing systems because it uses a distributed network of low-power computing nodes. This means that less energy is required to process data, making it more cost effective than traditional computing systems.
Moreover, neuromorphic computing is more scalable and easily adaptable to different energy management scenarios. This makes it ideal for developing applications such as smart grids, energy storage systems and renewable energy systems.
Neuromorphic computing can also learn from the environment and adapt to changing conditions. This makes it ideal for real-time energy management as it can quickly adapt to changes in demand and prices.
Finally, neuromorphic computing provides greater insight into energy usage patterns, enabling more efficient energy management. This can significantly reduce energy costs and improve environmental performance.
Overall, neuromorphic computing promises to revolutionize the way energy systems are managed. It is more efficient, scalable, and adaptable than traditional computing systems, making it an ideal tool for smart energy management.

Neuromorphic Computing: Force Multipliers in Smart Energy Management​

Neuromorphic computing is fast becoming an essential technology for smart energy management. This technology combines the latest advances in artificial intelligence (AI) and machine learning with the power of data analytics to create a powerful power multiplier in the field of energy management.
Neuromorphic computing is a form of machine intelligence that mimics how the human brain works. It uses machine learning algorithms to process data and make decisions in real time. This technology can help you quickly identify patterns of energy use, detect anomalies in energy consumption, and identify opportunities for energy efficiency.
Neuromorphic computing is also helping reduce the cost of energy management. By using AI algorithms, energy management systems can quickly detect and respond to changes in energy demand, thus optimizing energy usage and reducing energy costs. Neuromorphic computing can also help reduce the complexity of energy management by automating processes and reducing the amount of manual intervention required.
The use of neuromorphic computing in energy management is still in its infancy, but the potential is clear. This technology helps energy managers make better decisions and reduce energy costs by optimizing energy usage. Already, some of the world's leading energy companies have invested in neuromorphic computing, which is expected to become a standard part of smart energy management in the near future.

Integrating Neuromorphic Computing into Smart Energy Management Strategies for Grid Control​

The energy industry is evolving rapidly to meet the growing demand for clean and renewable energy sources. With the advent of smart energy management strategies, the industry is leveraging cutting edge technology to optimize energy production and consumption. One of his most promising advances in the field is the integration of neuromorphic computing into smart energy management strategies for grid control.
Neuromorphic computing is a type of artificial intelligence that emulates the biological neural networks found in the human brain. This technology has the potential to revolutionize how energy grids are managed because it can process large amounts of data quickly and accurately. With this technology, you can optimize your energy grid to efficiently manage energy production and consumption, minimizing waste and inefficiency.
Neuromorphic computing can be used to enable smart energy management strategies such as load balancing, peak load management, and energy forecasting. Load balancing is a method of using sensors to monitor energy consumption and adjust supply accordingly. Peak load management is a method of using sensors to detect times of high energy consumption in an area and automatically adjusting supply to meet demand. Energy forecasting is a method of using sensors and data analytics to forecast future energy demand and adjust supply accordingly.
Integrating neuromorphic computing into smart energy management strategies can optimize energy grids for greater efficiency and reliability. This technology can be used to improve the accuracy of energy forecasting, optimize load distribution, and reduce peak load demand. Additionally, neuromorphic computing can be used to detect potential failures in the grid and take action to prevent outages and other problems.
Integrating neuromorphic computing into smart energy management strategies is a major advancement in the industry. With this technology, you can optimize your energy grid for efficiency and reliability while minimizing waste and inefficiency. As the industry continues to evolve, neuromorphic computing will become a key tool in the smart energy management toolkit.

Post navigation​

Beforerevious post:The Importance of Satellites for Space-Based Cybersecurity and Intelligence"

https://ts2.space/ja/スマート-エネルギー管理とグリッド制御のため-2/

Strangely enough, the post is in Japanese and the company is from Poland.

Last week we learnt via LinkedIn that Loki Sassone at Qualcomm was working with Brainchip on a research paper that uses Pontryagin maximum principles , I then happened to discover that power grid management is a relevant application use case of this principle .

 

[Damo4]

12 months of this, and the board will be vacated for re-election. Is that what you want? I don't.
Deals aren't made on the golf course. They are made when they see a market leader buy your product, and followers follow.

Red days are hard aren't they?

Don't worry, Sean has time to attend these important events and also lead his teams.

 

[HopalongPetrovski]

12 months of this, and the board will be vacated for re-election. Is that what you want? I don't.
Deals aren't made on the golf course. They are made when they see a market leader buy your product, and followers follow.

You're projecting.
Of course there is more to building and running a successful business than what Sean will be doing at this event.
But I also think you are discounting its value and I'll disagree with you about deals and golf courses, dinners and hand shakes.
All sorts of launches, unveilings and rubber hitting the road is already scheduled between now and the next AGM, let alone what's coming that we are not yet privy too.
And NO.
I didn't vote for the spill that just happened, and also spoke against it here, both before and after the event.
As for market leaders, I think Renesas and Megachips are a pretty good start, let alone the host of others revealed over the past few months.

 

[wilzy123]

12 months of this, and the board will be vacated for re-election. Is that what you want? I don't.
Deals aren't made on the golf course. They are made when they see a market leader buy your product, and followers follow.

This is an excellent post. Thank you.

 

[Bravo]

https://ntrs.nasa.gov/api/citations/20230005204/downloads/NASA-TM-20230005204.pdf

 

[Dr E Brown]

Ok, I’m getting incredibly confused now. Is somebody able to explain to me how this impacts upon the Akida benefits spruiked by Mercedes last year please.

 

[robsmark]

Ok, I’m getting incredibly confused now. Is somebody able to explain to me how this impacts upon the Akida benefits spruiked by Mercedes last year please.

I’m not really sure what you’re hoping for in a response here… one poster could state that it wouldn’t impact anything, and another could state that it would impact everything, but the reality is that nobody has a clue!

The company hasn’t even announced Mercedes as a customer yet and people think it’s a sure thing. Until we receive a commercial deal announcement, it should be considered as nothing.

 

[Dr E Brown]

I’m not really sure what you’re hoping for in a response here… one poster could state that it wouldn’t impact anything, and another could state that it would impact everything, but the reality is that nobody has a clue!

The company hasn’t even announced Mercedes as a customer yet and people think it’s a sure thing. Until we receive a commercial deal announcement, it should be considered as nothing.

Robsmark, it is a genuine question. You are correct that Mercedes are not announced as a customer. However, they are on the trusted by section of our website, implies using Akida for future opportunities. They have openly stated that use of Akida for, I understand, to be this system reduces power consumption by 5x, or words to that effect.
My question is - are Cerence using Akida in their offering or is there a pivot, or am I confusing apples and oranges.

Perhaps it is my lack of understanding that is leading to my confusion. The tweet and information at least gave me cause for pause. I honestly need help to understand if there is anything here or not.
And if given all the continued chat about Mercedes announcement by the top dogs in the company, should I really be considering that as nothing?!

 

[Iseki]

You're projecting.
Of course there is more to building and running a successful business than what Sean will be doing at this event.
But I also think you are discounting its value and I'll disagree with you about deals and golf courses, dinners and hand shakes.
All sorts of launches, unveilings and rubber hitting the road is already scheduled between now and the next AGM, let alone what's coming that we are not yet privy too.
And NO.
I didn't vote for the spill that just happened, and also spoke against it here, both before and after the event.
As for market leaders, I think Renesas and Megachips are a pretty good start, let alone the host of others revealed over the past few months.

Sure, let them play golf. That'll really get the shareholders going.
Either that or he can tell us how far off the new chip is going to be. Why the secrecy when silence creates malaise?

 

[TopCat]

We need to help AI Labs with a few more followers

We are MINSKY™ - Enterprise Level Ai Engine | AILABS | AILABSINC | AI LABS | AiLabs Inc | Ai Labs Inc

Accelerate your business transformation with Minsky™, the cutting-edge AI engine by #AILabsinc. Harness the power of #ArtificialIntelligence for smart processes and data-driven decisions. Join the AI revolution today! #AI #MachineLearning #DeepLearning #NLP #NeuralNetworks...

www.linkedin.com

 

[HopalongPetrovski]

Sure, let them play golf. That'll really get the shareholders going.
Either that or he can tell us how far off the new chip is going to be. Why the secrecy when silence creates malaise?

Ahhhhh, I see, you're looking for an argument.
That room is three doors on the left down the hall.

 

[robsmark]

Robsmark, it is a genuine question. You are correct that Mercedes are not announced as a customer. However, they are on the trusted by section of our website, implies using Akida for future opportunities. They have openly stated that use of Akida for, I understand, to be this system reduces power consumption by 5x, or words to that effect.
My question is - are Cerence using Akida in their offering or is there a pivot, or am I confusing apples and oranges.

Perhaps it is my lack of understanding that is leading to my confusion. The tweet and information at least gave me cause for pause. I honestly need help to understand if there is anything here or not.
And if given all the continued chat about Mercedes announcement by the top dogs in the company, should I really be considering that as nothing?!

I stand by my comment, until we have a signed deal then it’s nothing. Chat, partnerships, discussions, articles, and tweets mean diddly squat unless they sign, start using Akida, and revenue starts flowing. Until then they have zero commitment towards Brainchip. That’s just the way it is.

 

[manny100]

I’m not really sure what you’re hoping for in a response here… one poster could state that it wouldn’t impact anything, and another could state that it would impact everything, but the reality is that nobody has a clue!

The company hasn’t even announced Mercedes as a customer yet and people think it’s a sure thing. Until we receive a commercial deal announcement, it should be considered as nothing.

Check the About/Investor relations area of the BRN website.
BRN list 7 reasons under Why Invest.
One of them is:
"Marquee brands include Mercedes, Valeo, Vorago, and NASA, and commercial IP licenses with Renesas and MegaChips.
Commercial availability of semiconductor chips, IP, tools, and boards."
They would not be including these companies on their website 'in writing' if there was no connection.
They are all subject to NDA's and from engagement to revenue is a fair time.
Patience is the key.
My bold.

 

[Damo4]

Robsmark, it is a genuine question. You are correct that Mercedes are not announced as a customer. However, they are on the trusted by section of our website, implies using Akida for future opportunities. They have openly stated that use of Akida for, I understand, to be this system reduces power consumption by 5x, or words to that effect.
My question is - are Cerence using Akida in their offering or is there a pivot, or am I confusing apples and oranges.

Perhaps it is my lack of understanding that is leading to my confusion. The tweet and information at least gave me cause for pause. I honestly need help to understand if there is anything here or not.
And if given all the continued chat about Mercedes announcement by the top dogs in the company, should I really be considering that as nothing?!

Push-to-talk buttons and wake-up words have long been the standard ways that users begin their conversations with their virtual assistants, both in the car and in the home. Cerence JustTalk revolutionizes interactions with in-car assistants, leveraging AI-powered technology that has the intelligence to detect when drivers are talking to the assistant – and to keep quiet when they’re not. With Cerence JustTalk, drivers can simply begin speaking when they have a question or command for the assistant. They don’t need to push a button or say “Hey;” the system knows when it’s being summoned based on the words uttered, how the driver spoke them, and the context of the conversation. Cerence JustTalk’s intelligent system capabilities also make use of additional sensor data and contextual information that enables it to avoid awakening the assistant during a conversation amongst the car’s inhabitants.

“Being the architects of MB.OS as well as the MBUX voice assistant, we are able to utilize innovative technology such as JustTalk to bring the intuitiveness of using voice as first interaction modality to the next level,” said Andreas Biehl, Senior Manager Voice Assistant, Mercedes-Benz AG.

With numerous patents in the field of voice assistant activation, Cerence is uniquely positioned to deliver this innovation. Building on its core competencies in conversational AI and its more than two decades of experience in automotive and mobility user interfaces, Cerence is uniquely positioned to create this intelligent and natural way of activating the in-car assistant – an innovation that no other voice system offers in this form


It's pretty clear isn't it? The current MBUX is using Cerence JustTalk.
Akida was only in the EQXX and was a "Hey Mercedes" wake function.
Some people here theorised that the "always on" function of Akida 1.5 could be used for such a things but I think that's put to bed with this statement:
an innovation that no other voice system offers in this form

Also regarding the trusted section of the website, could just mean those who found some solution with Akida: the hey Mercedes function

 

[Damo4]

Push-to-talk buttons and wake-up words have long been the standard ways that users begin their conversations with their virtual assistants, both in the car and in the home. Cerence JustTalk revolutionizes interactions with in-car assistants, leveraging AI-powered technology that has the intelligence to detect when drivers are talking to the assistant – and to keep quiet when they’re not. With Cerence JustTalk, drivers can simply begin speaking when they have a question or command for the assistant. They don’t need to push a button or say “Hey;” the system knows when it’s being summoned based on the words uttered, how the driver spoke them, and the context of the conversation. Cerence JustTalk’s intelligent system capabilities also make use of additional sensor data and contextual information that enables it to avoid awakening the assistant during a conversation amongst the car’s inhabitants.

“Being the architects of MB.OS as well as the MBUX voice assistant, we are able to utilize innovative technology such as JustTalk to bring the intuitiveness of using voice as first interaction modality to the next level,” said Andreas Biehl, Senior Manager Voice Assistant, Mercedes-Benz AG.

With numerous patents in the field of voice assistant activation, Cerence is uniquely positioned to deliver this innovation. Building on its core competencies in conversational AI and its more than two decades of experience in automotive and mobility user interfaces, Cerence is uniquely positioned to create this intelligent and natural way of activating the in-car assistant – an innovation that no other voice system offers in this form


It's pretty clear isn't it? The current MBUX is using Cerence JustTalk.
Akida was only in the EQXX and was a "Hey Mercedes" wake function.
Some people here theorised that the "always on" function of Akida 1.5 could be used for such a things but I think that's put to bed with this statement:
an innovation that no other voice system offers in this form

Also regarding the trusted section of the website, could just mean those who found some solution with Akida: the hey Mercedes function

BTW I'm not suggesting we aren't still working with Mercedes, just that it's not on the always on speech recognition.
We have tonnes of NDAs and Sean has confirmed we are still working with all EAP's.
Also some criticised Akida for it's Narrow use cases, I can't think of anything more narrow than Cerence' solution for voice recognition.
Akida has heaps more to offer, and is better suited for pure edge devices.

 

[Diogenese]

Robsmark, it is a genuine question. You are correct that Mercedes are not announced as a customer. However, they are on the trusted by section of our website, implies using Akida for future opportunities. They have openly stated that use of Akida for, I understand, to be this system reduces power consumption by 5x, or words to that effect.
My question is - are Cerence using Akida in their offering or is there a pivot, or am I confusing apples and oranges.

Perhaps it is my lack of understanding that is leading to my confusion. The tweet and information at least gave me cause for pause. I honestly need help to understand if there is anything here or not.
And if given all the continued chat about Mercedes announcement by the top dogs in the company, should I really be considering that as nothing?!

Hi Dr E,

I too share your confusion about Cerence.

However, there are some points which mitigate my concerns somewhat.

A few weeks ago, Mercedes started talking about MBUX not needing the "Hey Mercedes" wake up when there was only one person in the car, the corollary being that they still need it when there are two or more people.

Another thing is I've looked at Cerence patents, and while they discuss the use of NNs, they do not describe or claim any NN circuitry.

As you say, Mercedes found Akida to be 5 to 10 times beter than other systems for "Hey Mercedes". They also used "Hey Mercedes" as an example of what Akida could do, and appeared to make reference to plural uses of Akida.

On top of that, Mercedes also stated their desire to standardize on the chips they use. Akida is sensor agnostic.

Then there's Valeo Scala 3 lidar due out shortly, which I think may contain Akida, leaving aside Luminar with their foveated lidar and who have stated that they expect to expand their cooperation with Mercedes from mid-decade. MB used Scala 2 to obtain Level 3 ADAS certification, (sub-60 kph), while Scala 3 is rated to 160 kph.

Luminar, like Cerence, talk about using AI, but do not describe its construction.

Standardizing on Akida would improve the efficiency of the MB design office as their engineers would all be signing off the same hymn sheet in close harmony.

 

[Diogenese]

Hi Dr E,

I too share your confusion about Cerence.

However, there are some points which mitigate my concerns somewhat.

A few weeks ago, Mercedes started talking about MBUX not needing the "Hey Mercedes" wake up when there was only one person in the car, the corollary being that they still need it when there are two or more people.

Another thing is I've looked at Cerence patents, and while they discuss the use of NNs, they do not describe or claim any NN circuitry.

As you say, Mercedes found Akida to be 5 to 10 times beter than other systems for "Hay Mercedes". They also used "Hay Mercedes" as an example of what Akida could do, and appeared to make reference to plural uses of Akida.

On top of that, Mercedes also stated their desire to standardize on the chips they use. Akida is sensor agnostic.

Then there's Valeo Scala 3 lidar due out shortly, which I think may contain Akida, leaving aside Luminar with their foveated lidar and who have stated that they expect to expand their cooperation with Mercedes from mid-decade. MB used Scala 2 to obtain Level 3 AD certification, (sub-60 kph), while Scala 3 is rated to 160 kph.

Luminar, like Cerence, talk about using AI, but do not describe its construction.

Standardizing on Akida would improve the efficiency of the MB design office as their engineers would all be signing off the same hymn sheet in close harmony.

Factors which can be bolstered by having different design engineers working on the same type of NN implementation are the configuration of the NPU/node connexions and layer configurations and the compilation and augmentation of the model libraries used for comparison in the inference/classification of sensor signals.

 

[Fullmoonfever]

Factors which can be bolstered by having different design engineers working on the same type of NN implementation are the configuration of the NPU/node connexions and layer configurations and the compilation and augmentation of the model libraries used for comparison in the inference/classification of sensor signals.

Not sure of date on this article, but suggests DNN embedded and cloud?

CERENCE INTRODUCES NEW FEATURES IN CERENCE DRIVE, THE WORLD’S LEADING TECHNOLOGY AND SOLUTIONS PORTFOLIO FOR AUTOMAKERS AND CONNECTED CARS

New capabilities such as enhanced voice recognition and synthetic speech serve as the foundation for a safer, more enjoyable journey for everyone

iot-automotive.news

CERENCE INTRODUCES NEW FEATURES IN CERENCE DRIVE, THE WORLD’S LEADING TECHNOLOGY AND SOLUTIONS PORTFOLIO FOR AUTOMAKERS AND CONNECTED CARS​

New capabilities such as enhanced voice recognition and synthetic speech serve as the foundation for a safer, more enjoyable journey for everyone
BURLINGTON, Mass. – Cerence Inc., AI for a world in motion, today introduced new innovations in Cerence Drive, its technology and solutions portfolio for automakers and IoT providers to build high-quality, intelligent voice assistant experiences and speech-enabled applications. Cerence Drive today powers AI-based, voice-enabled assistants in approximately 300 million cars from nearly every major automaker in the world, including Audi, BMW, Daimler, Ford, Geely, GM, SAIC, Toyota, and many more.
The Cerence Drive portfolio offers a distinct, hybrid approach with both on-board and cloud-based technologies that include voice recognition, natural language understanding (NLU), text-to-speech (TTS), speech signal enhancement (SSE), and more. These technologies can be deployed and tightly integrated with the wide variety of systems, sensors and interfaces found in today’s connected cars. The latest version of Cerence Drive includes a variety of new features to elevate the in-car experience:
> Enhanced, active voice recognition and assistant activation that goes beyond the standard push-to-talk buttons and wake-up words. The voice assistant is always listening for a relevant utterance, question or command, much like a personal assistant would, creating a more natural experience. In addition, Cerence’s voice recognition can run throughout the car, both embedded and in the cloud, distributing the technical load and delivering a faster user experience for drivers.
> New, deep neural net (DNN)-based NLU engine built on one central technology stack with 23 languages available both embedded and in the cloud. This streamlined approach creates new standards for scalability and flexibility between embedded and cloud applications and domains for simpler integration, faster innovation, and a more seamless in-car experience, regardless of connectivity.
> TTS and synthetic voice advancements that deliver new customizations, including a non-gender-specific voice for the voice assistant, and emotional output, which enables automakers to adjust an assistant’s speaking style based on the information delivered or tailored to a specific situation. In addition, the introduction of deep learning delivers a more natural and human-like voice with an affordable computational footprint.
> Improved, more intelligent speech signal enhancement that includes multi-zone processing with quick and simple speaker identification; passenger interference cancelation that blocks out background noise as well as voices from others in the car; and a deep neural net-based approach for greater noise suppression and better communication.
“Improving the experience for drivers and creating curated technology that feels unique and harmonious with our partners’ brands have been true motivators since we started our new journey as Cerence, and that extends to our latest innovations in Cerence Drive,” said Sanjay Dhawan, CEO, Cerence. “Cerence Drive, our flagship offering, is the driving force behind our promise of a truly moving in-car experience for our customers and their drivers, and our new innovations announced today are core to making that mission a reality. ”
Cerence Drive’s newest features are available now for automakers worldwide. To learn more about Cerence Drive, visit www.cerence.com/solutions.

Also a 2022 pdf spiel on their overall solutions package.

HERE

Guess we have to remember we also have a patent granted on 2018 on neuromorphic application via PVDM.

Unified Patents - Analytics Portal

US-10157629-B2 - Low Power Neuromorphic Voice Activation System and Method​

Abstract
The present invention provides a system and method for controlling a device by recognizing voice commands through a spiking neural network. The system comprises a spiking neural adaptive processor receiving an input stream that is being forwarded from a microphone, a decimation filter and then an artificial cochlea. The spiking neural adaptive processor further comprises a first spiking neural network and a second spiking neural network. The first spiking neural network checks for voice activities in output spikes received from artificial cochlea. If any voice activity is detected, it activates the second spiking neural network and passes the output spike of the artificial cochlea to the second spiking neural network that is further configured to recognize spike patterns indicative of specific voice commands. If the first spiking neural network does not detect any voice activity, it halts the second spiking neural network.