The Eu bail-out for Credit Suisse seems to have steadied the ship.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
mrgds
Regular
BaconLover
Founding Member
That should fix the inflation issue too.
Between the devil and the deep blue sea and they decided to go with the devil.
mrgds
Regular
Love the GIF, ...................... sooooo appropriate BLThat should fix the inflation issue too.
Between the devil and the deep blue sea and they decided to go with the devil.
AKIDA BALLISTA
Wish I could get a bail-out everytime I stuff up an investment. Zero accountability for these banks who are supposedly at the pinnacle of the financial system. This is the same system that allows short selling.....Bloody disgraceful if you ask me.
BaconLover
Founding Member
I understand there are other arguments, but I am not a big fan of ''saving'' these banks (or any business for that matter ... cough...... *Qantarse*...... cough) using public/taxpayers money.
Obviously they will use the money, and any profits they make will go to the shareholders and C levels get multi millions as compensation for ''saving'' the institution.
HopalongPetrovski
I'm Spartacus!
That should fix the inflation issue too.
Between the devil and the deep blue sea and they decided to go with the devil.
Maybe,...... but more immediately impactful is the fact that 5 top U.S. banks have stepped up to contibute billions (30 +) to Silicon Valley Bank which is huge. Feds can exhale, for the time being, as a result.
Tuliptrader
Regular
If you are looking for confirmation of the magnitude of Megchips signing with Brainchip this podcast provides it.Fantastic endorsement of the Brainchip Edge AI/ML. A must listen to, after the first 3-minute background stuff.
Megachips is really going after Edge AI hardcore, reinforcing what we know. To hear the words praising the Brainchip smarts over and over!
When asked what are the growth apps happening now?
1) Wearables (headphones, earpods, medical patches that monitor body conditions in real time).
2) Security (he did not elaborate).
3) Industrial (robotics, anomaly detection).
4) Automotive (lots of apps, just slower implementation time).
Supporting 4 foundries, plus other tidbits. I wish it had a transcript.
Thanks a bunch Mr @Rocket577 for a really enjoyable 20 minutes Brainchip love fest.
Thanks @Rocket577 and @stuart888
TT
D
Deleted member 118
Guest
It did make my ears prick up when I listened to it and it’s probably one off only a few that I have managed to listen to the bits in the middle.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Forgive me if I sound like a broken record because everyone who doesn't live under a rock knows about my unhealthy obsession with Cerence and everyone knows that "Cerence's Immersive Companion" for in-car voice assistant is going to be rolled out in FY23/24 and everyone knows that I would be shocked and smack-gobbed( (thanks for that one @Diogense) if it didn't involve AKIDA in some way.
So, obviously I'm eager to share this news release hot off the press.
Cerence Inc. (NASDAQ: CRNC), AI for a world in motion, today introduced its next-generation, AI-powered biometrics engine in Cerence Assistant, providing enhanced personalization and security capabilities for the mobility experience. Powered by the latest advances in AI, Cerence Voice Biometrics is now more accurate at creating driver profiles; identifying who is speaking; and enabling deeper opportunities for safe, secure, and individualized interactions with the in-car assistant.
Available across a multitude of global languages, Cerence’s next-generation biometrics solution is optimized for automotive and mobility use cases, putting the user at the forefront with a frictionless experience, providing the highest identification accuracies in a low-footprint, embedded solution. Going beyond voice, multimodal cabin biometrics are designed to support multimodal identification throughout the cabin, offering a more convenient and secure identification and authorization process. This allows users to automatically log in to their preferred biometric modality and configure step-up authentication for sensitive tasks, providing a frictionless authentication and authorization solution that can adapt based on context. For example, drivers can identify themselves with facial recognition when starting the car, and authorize a payment with their voice while on the road.
Architected to be embedded within the car for security and convenience, Cerence Voice Biometrics is core to Cerence’s multimodal biometrics capabilities, powering a range of authenticated, personalized experiences, including:
Several major global automakers have signed on to deploy Cerence Voice Biometrics in their cars. For more information about Cerence biometrics, visit https://www.cerence.com/cerence-products/core-technologies. To learn more about Cerence, visit www.cerence.com, and follow the company on LinkedIn and Twitter.
SOURCE: Cerence
www.automotiveworld.com
So, obviously I'm eager to share this news release hot off the press.
Optimized for the in-car experience, advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions
Cerence has introduced its next-generation, AI-powered biometrics engine in Cerence Assistant- March 16, 2023
Cerence Inc. (NASDAQ: CRNC), AI for a world in motion, today introduced its next-generation, AI-powered biometrics engine in Cerence Assistant, providing enhanced personalization and security capabilities for the mobility experience. Powered by the latest advances in AI, Cerence Voice Biometrics is now more accurate at creating driver profiles; identifying who is speaking; and enabling deeper opportunities for safe, secure, and individualized interactions with the in-car assistant.
Available across a multitude of global languages, Cerence’s next-generation biometrics solution is optimized for automotive and mobility use cases, putting the user at the forefront with a frictionless experience, providing the highest identification accuracies in a low-footprint, embedded solution. Going beyond voice, multimodal cabin biometrics are designed to support multimodal identification throughout the cabin, offering a more convenient and secure identification and authorization process. This allows users to automatically log in to their preferred biometric modality and configure step-up authentication for sensitive tasks, providing a frictionless authentication and authorization solution that can adapt based on context. For example, drivers can identify themselves with facial recognition when starting the car, and authorize a payment with their voice while on the road.
Architected to be embedded within the car for security and convenience, Cerence Voice Biometrics is core to Cerence’s multimodal biometrics capabilities, powering a range of authenticated, personalized experiences, including:
- Transparent, proactive enrollment and easy sign-in – The in-car assistant can learn speakers and their unique voices with only a few interactions and proactively offer to create a voiceprint once enough voice data has been gathered. This eliminates the need for drivers and each of their passengers to set up personal profiles with prescriptive phrases. From there, each time users enter the car, they are authenticated upon their first interaction with the voice assistant, whether it’s “Good morning, Cerence,” or “Drive me to the office.”
- Authenticated interaction from outside the car – Cerence Exterior Vehicle Interaction (EVI) is a suite of AI and voice-powered innovations that enables drivers to interact with their cars from the outside. To maintain safety and security, Cerence EVC now also leverages voice biometrics to limit certain capabilities to approved users only. For example, for security-relevant functions such as unlocking the car or opening the trunk, Cerence Voice Biometrics verifies the speaker’s identity to provide an additional level of protection and security.
- Convenient and secure payments – When integrated with in-car commerce apps, Cerence Voice Biometrics is a powerful tool for authorizing payments with no extra legwork by the user. Perfect while driving, your voice interaction is passively verified, offering an uninterrupted, secure transaction.
- Next-level control – Using the technology’s age detection capabilities, in-car assistants can offer parental controls to voice interactions, limiting what functions children can activate and what content they can access, including ensuring safe web searches in the car via Cerence Browse. Similarly, smart-home connectivity commands such as “Open the garage door” can be restricted by driver profile, user, age and speaker identity.
- Easy language switch – Using Cerence Voice Biometrics, Cerence Assistant can automatically adapt the dialogue and infotainment system language to match the user’s spoken language. This allows users to interact naturally with the in-car assistant, providing a seamless and personalized experience.
Several major global automakers have signed on to deploy Cerence Voice Biometrics in their cars. For more information about Cerence biometrics, visit https://www.cerence.com/cerence-products/core-technologies. To learn more about Cerence, visit www.cerence.com, and follow the company on LinkedIn and Twitter.
SOURCE: Cerence
Optimized for the in-car experience, advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions | Automotive World
Cerence has introduced its next-generation, AI-powered biometrics engine in Cerence Assistant
www.automotiveworld.com
Steve10
Regular
This is interesting. Wonder what the price will be for Akida IP?
Texas Instruments has 39c price per chip for volume for ARM IP while Rasberry Pi has 70c price for ARM IP with additional features.
Gareth HalfacreeFollow
7 hours ago • HW101
Texas Instruments has announced a new microcontroller range which puts an Arm Cortex-M0+ core in a design starting at just $0.39 per chip — in volume quantities, of course: the MSPM0 family.
"TI is building the industry’s most comprehensive portfolio of Arm Cortex-M0+ based MCUs — expanding an already extensive semiconductor offering with options for general-purpose designs," says TI's Vinay Agarwal of the launch. "Our new MCUs provide the flexibility our customers need to enhance the sensing and control capabilities of their systems while cutting cost, complexity and design time."
TI has unveiled two new Arm Cortex-M0+ microcontroller families, the cheapest of which costs just $0.39 in quantity. (
: Texas Instruments)
The biggest selling point of the family, though, is pricing. The lowest-spec version of the 32MHz MSPM0L is priced at just $0.39 per chip in 1,000-unit quantities — making it even cheaper than Raspberry Pi's similarly Arm Cortex-M0+ powered and keenly-priced RP2040, which admittedly offers two significantly faster cores, smart Programmable Input/Output (PIO) blocks, and additional memory for $0.70 per chip in 3,400-unit quantities.
Texas Instruments has 39c price per chip for volume for ARM IP while Rasberry Pi has 70c price for ARM IP with additional features.
Texas Instruments Puts an Arm Cortex-M0+ in Your Project for Just $0.39, with Its MSPM0L and MSPM0G
Gareth HalfacreeFollow
7 hours ago • HW101
Texas Instruments has announced a new microcontroller range which puts an Arm Cortex-M0+ core in a design starting at just $0.39 per chip — in volume quantities, of course: the MSPM0 family.
"TI is building the industry’s most comprehensive portfolio of Arm Cortex-M0+ based MCUs — expanding an already extensive semiconductor offering with options for general-purpose designs," says TI's Vinay Agarwal of the launch. "Our new MCUs provide the flexibility our customers need to enhance the sensing and control capabilities of their systems while cutting cost, complexity and design time."
TI has unveiled two new Arm Cortex-M0+ microcontroller families, the cheapest of which costs just $0.39 in quantity. (
: Texas Instruments)The biggest selling point of the family, though, is pricing. The lowest-spec version of the 32MHz MSPM0L is priced at just $0.39 per chip in 1,000-unit quantities — making it even cheaper than Raspberry Pi's similarly Arm Cortex-M0+ powered and keenly-priced RP2040, which admittedly offers two significantly faster cores, smart Programmable Input/Output (PIO) blocks, and additional memory for $0.70 per chip in 3,400-unit quantities.
Texas Instruments Puts an Arm Cortex-M0+ in Your Project for Just $0.39, with Its MSPM0L and MSPM0G
With the entry-level parts costing $0.39 in bulk, TI is hoping its latest Arm Cortex-M0+ microcontrollers will find broad use.
www.hackster.io
Tothemoon24
Top 20
Anyone had a look at a company called
Seeing Machines
In the first half year to the end of December 2022 the group saw revenues up 54% from $15.8m to $24.4m, with an end period cash balance of $52.2m ($40.5m end June).
The net loss was reduced by 47% to $5.4m ($10.1m), while the annual recurring revenue was increased nearly 17% to $11.9m ($10.2m).
The safety focus tailwinds are boosting the expansion of the company’s addressable market, adding to the attractive structural growth drivers in the Automotive, Aftermarket and Aviation sectors.
The Business
This group has come a long way over the last 23 years, from the 1997 research work into vision-based human-machine interfaces undertaken by Volvo Technology of Sweden and researchers at the Australian National University.
That work was to develop technologies that enable computers to detect, track and interpret human faces and facial features, with the initial aim to improve driver safety.
Three years later the company was set up.
Today the group, headquartered in Australia, is a global industry leader in vision-based monitoring technology that enable machines to see, understand and assist people. Seeing Machines is revolutionising global transport safety.
Its technology portfolio of AI algorithms, embedded processing and optics, power products that need to deliver reliable real-time understanding of vehicle operators.
The technology spans the critical measurement of where a driver is looking, through to classification of their cognitive state as it applies to accident risk.
Reliable “driver state” measurement is the end-goal of Driver Monitoring Systems (DMS) technology.
Seeing Machines develops DMS technology to drive safety for Automotive, Commercial Fleet, Off-road and Aviation.
The company has offices in Australia, USA, Europe and Asia, and supplies technology solutions and services to industry leaders in each market vertical.
The group is continuing to grow as an automotive technology leader in driver and occupant monitoring system technology, having now won a total of 15 automotive programs spanning 10 individual OEMs, covering more than 160 distinct vehicle models.
The cumulative initial lifetime value of all OEM programs that Seeing Machines has won to date now stands at $321m.
The company reported a total of 701,049 cars on road as at 31 December 2022, representing an increase of 188% over the 12 months period (243,722) spanning six individual programs with four global OEMs.
Guardian, Seeing Machines’ Aftermarket driver distraction and fatigue technology, is now installed into and monitoring 46,018 individual vehicles, compared to 36,933 in December 2021 representing a 25% increase over the 12-month period.
Seeing Machines
In the first half year to the end of December 2022 the group saw revenues up 54% from $15.8m to $24.4m, with an end period cash balance of $52.2m ($40.5m end June).
The net loss was reduced by 47% to $5.4m ($10.1m), while the annual recurring revenue was increased nearly 17% to $11.9m ($10.2m).
The safety focus tailwinds are boosting the expansion of the company’s addressable market, adding to the attractive structural growth drivers in the Automotive, Aftermarket and Aviation sectors.
The Business
This group has come a long way over the last 23 years, from the 1997 research work into vision-based human-machine interfaces undertaken by Volvo Technology of Sweden and researchers at the Australian National University.
That work was to develop technologies that enable computers to detect, track and interpret human faces and facial features, with the initial aim to improve driver safety.
Three years later the company was set up.
Today the group, headquartered in Australia, is a global industry leader in vision-based monitoring technology that enable machines to see, understand and assist people. Seeing Machines is revolutionising global transport safety.
Its technology portfolio of AI algorithms, embedded processing and optics, power products that need to deliver reliable real-time understanding of vehicle operators.
The technology spans the critical measurement of where a driver is looking, through to classification of their cognitive state as it applies to accident risk.
Reliable “driver state” measurement is the end-goal of Driver Monitoring Systems (DMS) technology.
Seeing Machines develops DMS technology to drive safety for Automotive, Commercial Fleet, Off-road and Aviation.
The company has offices in Australia, USA, Europe and Asia, and supplies technology solutions and services to industry leaders in each market vertical.
The group is continuing to grow as an automotive technology leader in driver and occupant monitoring system technology, having now won a total of 15 automotive programs spanning 10 individual OEMs, covering more than 160 distinct vehicle models.
The cumulative initial lifetime value of all OEM programs that Seeing Machines has won to date now stands at $321m.
The company reported a total of 701,049 cars on road as at 31 December 2022, representing an increase of 188% over the 12 months period (243,722) spanning six individual programs with four global OEMs.
Guardian, Seeing Machines’ Aftermarket driver distraction and fatigue technology, is now installed into and monitoring 46,018 individual vehicles, compared to 36,933 in December 2021 representing a 25% increase over the 12-month period.
Attachments
Bravo
If ARM was an arm, BRN would be its biceps💪!
Forgive me if I sound like a broken record because everyone who doesn't live under a rock knows about my unhealthy obsession with Cerence and everyone knows that "Cerence's Immersive Companion" for in-car voice assistant is going to be rolled out in FY23/24 and everyone knows that I would be shocked and smack-gobbed( (thanks for that one @Diogense) if it didn't involve AKIDA in some way.
So, obviously I'm eager to share this news release hot off the press.
Optimized for the in-car experience, advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions
Cerence has introduced its next-generation, AI-powered biometrics engine in Cerence Assistant
FacebookTwitterLinkedInShare via EmailPrint
- March 16, 2023
Cerence Inc. (NASDAQ: CRNC), AI for a world in motion, today introduced its next-generation, AI-powered biometrics engine in Cerence Assistant, providing enhanced personalization and security capabilities for the mobility experience. Powered by the latest advances in AI, Cerence Voice Biometrics is now more accurate at creating driver profiles; identifying who is speaking; and enabling deeper opportunities for safe, secure, and individualized interactions with the in-car assistant.
Available across a multitude of global languages, Cerence’s next-generation biometrics solution is optimized for automotive and mobility use cases, putting the user at the forefront with a frictionless experience, providing the highest identification accuracies in a low-footprint, embedded solution. Going beyond voice, multimodal cabin biometrics are designed to support multimodal identification throughout the cabin, offering a more convenient and secure identification and authorization process. This allows users to automatically log in to their preferred biometric modality and configure step-up authentication for sensitive tasks, providing a frictionless authentication and authorization solution that can adapt based on context. For example, drivers can identify themselves with facial recognition when starting the car, and authorize a payment with their voice while on the road.
Architected to be embedded within the car for security and convenience, Cerence Voice Biometrics is core to Cerence’s multimodal biometrics capabilities, powering a range of authenticated, personalized experiences, including:
“Biometrics is a critical piece of virtual assistant interaction, especially in cases where multiple users are interacting with a single assistant,” said Prateek Kathpal, Chief Technology Officer, Cerence. “Our next-generation biometrics engine in Cerence Assistant represents an important step in our ability to serve automakers and their drivers with a AI-powered, frictionless experience that takes minimal effort from the user but provides maximum impact in terms of personalization and security.”
- Transparent, proactive enrollment and easy sign-in – The in-car assistant can learn speakers and their unique voices with only a few interactions and proactively offer to create a voiceprint once enough voice data has been gathered. This eliminates the need for drivers and each of their passengers to set up personal profiles with prescriptive phrases. From there, each time users enter the car, they are authenticated upon their first interaction with the voice assistant, whether it’s “Good morning, Cerence,” or “Drive me to the office.”
- Authenticated interaction from outside the car – Cerence Exterior Vehicle Interaction (EVI) is a suite of AI and voice-powered innovations that enables drivers to interact with their cars from the outside. To maintain safety and security, Cerence EVC now also leverages voice biometrics to limit certain capabilities to approved users only. For example, for security-relevant functions such as unlocking the car or opening the trunk, Cerence Voice Biometrics verifies the speaker’s identity to provide an additional level of protection and security.
- Convenient and secure payments – When integrated with in-car commerce apps, Cerence Voice Biometrics is a powerful tool for authorizing payments with no extra legwork by the user. Perfect while driving, your voice interaction is passively verified, offering an uninterrupted, secure transaction.
- Next-level control – Using the technology’s age detection capabilities, in-car assistants can offer parental controls to voice interactions, limiting what functions children can activate and what content they can access, including ensuring safe web searches in the car via Cerence Browse. Similarly, smart-home connectivity commands such as “Open the garage door” can be restricted by driver profile, user, age and speaker identity.
- Easy language switch – Using Cerence Voice Biometrics, Cerence Assistant can automatically adapt the dialogue and infotainment system language to match the user’s spoken language. This allows users to interact naturally with the in-car assistant, providing a seamless and personalized experience.
Several major global automakers have signed on to deploy Cerence Voice Biometrics in their cars. For more information about Cerence biometrics, visit https://www.cerence.com/cerence-products/core-technologies. To learn more about Cerence, visit www.cerence.com, and follow the company on LinkedIn and Twitter.
SOURCE: Cerence
Optimized for the in-car experience, advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions | Automotive World
Cerence has introduced its next-generation, AI-powered biometrics engine in Cerence Assistant
Check out how many people at Mercedes like Cerence's latest announcement on LinkedIn!
Cerence Biometrics | Cerence AI
Today we’re unveiling our enhanced, AI-powered biometrics engine for deeper security and personalization. Optimized for the in-car experience, the advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions. Available across a multitude of...
Bravo
If ARM was an arm, BRN would be its biceps💪!
Conversant AI Redefines Audio Exploration - Radio World
The integration of voice assistants into automobiles is opening new avenues for how drivers and passengers interact with the dashboard.
www.radioworld.com
Extract
Steve10
Regular
We discussed them yesterday.
Not the sales figures though which indicate they are selling their tech for about $106 per vehicle.
701,049 cars on 31/12/2022 - 243,722 cars on 31/12/021 = 457,327 in 12 months / $48.8M annual revenue run rate = $106.70 per car.
457.3k / 125M cars/commercial vehicles pa = 0.37% market share so heaps of room for revenue growth. With laws making it mandatory for in-cabin driver monitoring soon will be a fast growing sub-market within automotive market.
125M vehicles pa x $106 = $13.25B TAM to be split between Seeing Machines, Nviso, emotion3D, Smart Eye etc. Most likely some unknown Chinese companies as well for Chinese market.
BRN could target 50M cars per year via Seeing Machines, Nviso, emotion3D & Smart Eyes. It looked like Nviso was using one Akida chip with Nvidia Jetson for Mercedes demos so 50M chips per year x 30-50c IP royalty = $15-25M pa BRN revenue for this type of application in this sub-market in automotive market. Will become more or less annual recurring revenue for BRN.
Falling Knife
Regular
Check out how many people at Mercedes like Cerence's latest announcement on LinkedIn!
Cerence Biometrics | Cerence AI
Today we’re unveiling our enhanced, AI-powered biometrics engine for deeper security and personalization. Optimized for the in-car experience, the advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions. Available across a multitude of...www.linkedin.com
I laughted when I saw this in the Cerence clip.
Who would have thought that this location would have even been a contender?
Its at the 31 second mark
https://www.linkedin.com/feed/update/urn:li:activity:7042138142958571521/
I did a 'WTF' when it flashed up, rewound to confrim my eyes were not deciving me, sure enough.
Hidden messages Im sure
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