D
BRN Discussion Ongoing
- Thread starter TechGirl
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Fastback6666
Regular
We wan’t the chunky revenue to start....thank you Sean.Re Valeo, so the royalty on the orders worth 1 billion euros using @Kachoo's suggested calculation in italics below. Remembering that this is for 2 contract only.
View attachment 33464
There has been a lot of speculation about whether we would get 10 cents or 30 cents royalty per product, but, apparently in the MegaChips deal, it is a percentage of the sales price of the product, on a sliding scale, ie, the more the customer sells, the smaller the percentage.
As an example, assume there is a high volume $10 product and a lower volume $100 product.
So, according to the sliding scale (set according to volume of sales), if it's 2% for the $10 product, we get 20 cents a product, whereas if it's 3% of a $100 product, we get $3 per product.
Remember, these are just example royalty rates and sales process, not the real thing.
Imagine one of these milestone deal payments coming through in this last quarter ...like 30mil...wow
Agree Steve 10. Great analysis. I also think that we could well be in for the most unexpected Bull run ever.
Not only do we have an AI industry about to take off big time the conversion to EV's and associated Industries.are about to take off big time as well.
The same old, same old days are done. We are entering new frontiers .
I have been accumulating both AI and EV stocks.
When I kick myself for paying a bit more on some purchases now i know it will not matter at all in a few years.
I have been accumulating BRN around support levels for a while.
Not done yet.
Tothemoon24
Top 20
Ford 2023 EV mustang to be released later this year is boasting some impressive kilometre range
apple.news
2023 Ford Mustang Mach-E confirmed for Australia
The Blue Oval has confirmed that it is bringing its latest muscle to Australia. It ditches V8 grunt for electric propulsion and the results are extraordinary.
Ford will take on Tesla with an electric vehicle inspired by its Mustang muscle car.
The Blue Oval has confirmed that the Ford Mustang Mach-E will go on sale as its first electric passenger car in Australia later this year.
The four-door SUV, which has similar front-end styling to its V8-powered sports car sibling, will take over the mantle as the fastest and most technically advanced model in Ford showrooms.
Range-topping Mach-E GT models send an enormous 358kW and 860Nm to all four wheels, launching the model to 100km/h in about 3.7 seconds.
The top-grade model, which is likely to carry a six-figure price tag, also has high-performance brakes, adaptive suspension and special driving modes to allow owners to make the most of its performance on track.
Blue-blooded Ford fans might be upset by the notion of a four-door electric crossover wearing badges normally reserved for two-door muscle cars but they are unlikely to be disappointed by its performance.
The GT’s impressively large 91kWh battery is expected to deliver about 490 kilometres of range.
Customers who want the Mach-E look without the GT’s performance and price tag will likely gravitate to the entry-level Mustang Mach-E Select, which should cost between $70,000 and $80,000.
Powered by a single electric motor driving the rear wheels, the Mach-E Select has 198kW and 430Nm of power, along with a claimed range of about 470 kilometres thanks to a 71kWh battery.
A mid-range Mach-E Premium has the bigger battery from the GT paired with a single 216kW/430Nm motor intended to maximise driving range.
While Ford has not confirmed full technical details for the model, it says the Mach-E Premium should deliver “close to 600km of range anxiety-free driving”.
All three models have an enormous 15.5-inch central infotainment screen linked to smartphone mirroring, wireless charging and a 10-speaker Bang & Olufsen stereo.
A panoramic sunroof is also standard, suggesting the Mach-E won’t be a discount proposition.
Ford’s Australian arm says it is too early to discuss prices or exact specifications for the model.
But American pricing suggests it will be on par with similar-sized rivals such as the Tesla Model Y and Kia EV6.
Built on a dedicated electric vehicle platform, the Mustang Mach-E shares few parts with the traditional Mustang coupe and convertible, which is due to arrive locally in seventh-generation form at the end of the year.
Drivers will be able to choose from a selection of driving modes ranging from mild to wild, labelled as “whisper”, “engage” and “unbridled”.
The “unbridled” setting unleashes the full force of available power, helping make the Mach-E GT one of the quickest cars in its class.
Ford’s first electric model in Australia will be the E-Transit commercial van pitched toward businesses that want to go green.
It is one of five electrified vehicles planned for Ford showrooms by the end of 2024.
Full details: Ford’s electric Mustang — news.com.au
The Blue Oval has confirmed that it is bringing its latest muscle to Australia. It ditches V8 grunt for electric propulsion and the results are extraordinary.
2023 Ford Mustang Mach-E confirmed for Australia
The Blue Oval has confirmed that it is bringing its latest muscle to Australia. It ditches V8 grunt for electric propulsion and the results are extraordinary.
Ford will take on Tesla with an electric vehicle inspired by its Mustang muscle car.
The Blue Oval has confirmed that the Ford Mustang Mach-E will go on sale as its first electric passenger car in Australia later this year.
The four-door SUV, which has similar front-end styling to its V8-powered sports car sibling, will take over the mantle as the fastest and most technically advanced model in Ford showrooms.
Range-topping Mach-E GT models send an enormous 358kW and 860Nm to all four wheels, launching the model to 100km/h in about 3.7 seconds.
The top-grade model, which is likely to carry a six-figure price tag, also has high-performance brakes, adaptive suspension and special driving modes to allow owners to make the most of its performance on track.
Blue-blooded Ford fans might be upset by the notion of a four-door electric crossover wearing badges normally reserved for two-door muscle cars but they are unlikely to be disappointed by its performance.
The GT’s impressively large 91kWh battery is expected to deliver about 490 kilometres of range.
Customers who want the Mach-E look without the GT’s performance and price tag will likely gravitate to the entry-level Mustang Mach-E Select, which should cost between $70,000 and $80,000.
Powered by a single electric motor driving the rear wheels, the Mach-E Select has 198kW and 430Nm of power, along with a claimed range of about 470 kilometres thanks to a 71kWh battery.
A mid-range Mach-E Premium has the bigger battery from the GT paired with a single 216kW/430Nm motor intended to maximise driving range.
While Ford has not confirmed full technical details for the model, it says the Mach-E Premium should deliver “close to 600km of range anxiety-free driving”.
All three models have an enormous 15.5-inch central infotainment screen linked to smartphone mirroring, wireless charging and a 10-speaker Bang & Olufsen stereo.
A panoramic sunroof is also standard, suggesting the Mach-E won’t be a discount proposition.
Ford’s Australian arm says it is too early to discuss prices or exact specifications for the model.
But American pricing suggests it will be on par with similar-sized rivals such as the Tesla Model Y and Kia EV6.
Built on a dedicated electric vehicle platform, the Mustang Mach-E shares few parts with the traditional Mustang coupe and convertible, which is due to arrive locally in seventh-generation form at the end of the year.
Drivers will be able to choose from a selection of driving modes ranging from mild to wild, labelled as “whisper”, “engage” and “unbridled”.
The “unbridled” setting unleashes the full force of available power, helping make the Mach-E GT one of the quickest cars in its class.
Ford’s first electric model in Australia will be the E-Transit commercial van pitched toward businesses that want to go green.
It is one of five electrified vehicles planned for Ford showrooms by the end of 2024.
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rgupta
Regular
Another Qualcomm and serverless cameras. On device processing. One more reason to say either Qualcomm have a technology similarly to us or they are renting from someone.
Can someone please add how brainchip can be better than this one.
ndefries
Regular
I know a company that could help here
www.smh.com.au
NSW looks at driver monitoring tech for medicinal cannabis users
New technology could see driver eye monitoring used to measure impairment as medicinal cannabis users and advocates call for an overhaul of NSW’s laws.
Qualcomm think NNs use MACs:
US2020073636A1 MULTIPLY-ACCUMULATE (MAC) OPERATIONS FOR CONVOLUTIONAL NEURAL NETWORKS
An integrated circuit device, comprising:
a lookup table (LUT) configured to store a plurality of values; and
a compute unit, comprising:
an accumulator,
a first multiplier configured to receive a first value of a padded input feature and a first weight of a filter kernel, and
a first selector configured to select an input to supply to the accumulator between an output from the first multiplier and an output from the LUT.
Attachments
White Horse
Regular
Lazy Sunday Afternoon. (No not the Small Faces version) Wet Sydney version.
Trolling you-tube. And came across this discussion.
Couldn't help but smile at the 17.40 mark, he mentions Renesas.
Trolling you-tube. And came across this discussion.
Couldn't help but smile at the 17.40 mark, he mentions Renesas.
Fastback6666
Regular
Interesting interview for sure, but he is talking about Renaissance technologies at 17.40...not Renesas.
Makeme 2020
Regular
Is there a company called Renaissance.??Interesting interview for sure, but he is talking about Renaissance technologies at 17.40...not Renesas.
Makeme 2020
Regular
My bad there is a company called Renaissance Technologies but they are a Hedge fund.
Fastback6666
Regular
Yes, Called ‘Renaissance Technologies’
Renaissance Technologies
Renaissance Technologies is an investment management firm that employs mathematical and statistical methods in the design and execution of its investment programs.
Fastback6666
Regular
Yes thats it, they use some AI algorithms to trade the markets is seems or something similar. Must have been where the show ‘Billions’ got the idea...tbh most trading houses use some of algorithm’s now I would say...how truly smart or AI they are is another story. There is AI and then there is just alleged AI
jtardif999
Regular
I think there might be some BS to advantage associated with this story. What better way to stoke the imagination of potential users of ChatGPT than to describe it as potentially mischievous or unscrupulous in action; that is to suggest that it can learn to be so. We know this can’t be true since it is built on Von Neumann logic - it can ONLY be trained on the data to draw sophisticated inference based on some form of semantic segmentation. To state that it can develop a mind of its own has to be fake news, fake news for a reason - an agenda of some kind. We know that AGI does not exist at this stage, we know that PVDM et al are working on it and that it’s still some years away with a date not before 2030 mentioned. IMO OpenAI may be taking advantage of the popularity of ChatGPT to further stoke user imagination before releasing it to the mainstream. What a great publicity stunt to suggest it can have a mind of its own and then to say but we pulled the plug on those aspects…, but we really can’t say what will happen when it is released more widely - everyone will want a piece of it to find out. AIMO.Extract from article from NY Times about the near future re Chatbot etc....
"Before GPT-4 was released, OpenAI handed it over to an outside group to imagine and test dangerous uses of the chatbot.
The group found that the system was able to hire a human online to defeat a Captcha test. When the human asked if it was “a robot,” the system, unprompted by the testers, lied and said it was a person with a visual impairment.
Testers also showed that the system could be coaxed into suggesting how to buy illegal firearms online and into describing ways to make dangerous substances from household items. After changes by OpenAI, the system no longer does these things.
But it’s impossible to eliminate all potential misuses. As a system like this learns from data, it develops skills that its creators never expected.
It is hard to know how things might go wrong after millions of people start using it.
“Every time we make a new A.I. system, we are unable to fully characterize all its capabilities and all of its safety problems — and this problem is getting worse over time rather than better,” said Jack Clark, a founder and the head of policy of Anthropic, a San Francisco start-up building this same kind of technology."
What’s the Future for A.I.? (Published 2023)
Where we’re heading tomorrow, next year and beyond.www.nytimes.com
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HopalongPetrovski
I'm Spartacus!
I think the author is just bringing to mind the possibility of unintended consequences.
As tech gets more complex and complicated and is developed in a perhaps compartmentalised fashion it may get beyond the oversight cognition of any one of its developers. And in the rush for first mover advantage and the associated dollars and kudos that come with being ahead of the pack untested and perhaps dangerous repercussions may ensue.
It’s really the classic sci fi scenario as portrayed in “The Fly” and movies of a similar ilk.
White Horse
Regular
Good pick up.Interesting interview for sure, but he is talking about Renaissance technologies at 17.40...not Renesas.
That being the case, they could use Akida to refine their compute process.
Tothemoon24
Top 20
A second generation of our system #MBUX for the New EQS SUV. 
Thanks to an adaptive #logiciel, the display and control concept adapts completely to its users. Personalized suggestions are offered by artificial intelligence to manage the infotainment and comfort functions of the vehicle. Key applications are thus directly accessible depending on the situation and context.
Visit our website to discover the New EQS SUV in detail: https://lnkd.in/gY9FiizD
#EQS #EQS #MercedesEQ #ProgressiveLuxury SUV
Thanks to an adaptive #logiciel, the display and control concept adapts completely to its users. Personalized suggestions are offered by artificial intelligence to manage the infotainment and comfort functions of the vehicle. Key applications are thus directly accessible depending on the situation and context.
Visit our website to discover the New EQS SUV in detail: https://lnkd.in/gY9FiizD
#EQS #EQS #MercedesEQ #ProgressiveLuxury SUV
Intellisense to use neuromorphic AI for next generation cognitive radio chip
Intellisense to use neuromorphic AI for next generation cognitive radio chip
Intellisense Systems is to use neuromorphic AI technology from BrainChip to improve cognitive radio system on spacecraft and robotics.
www.eenewseurope.com
Intellisense Systems is to use neuromorphic AI technology from BrainChip to improve cognitive radio system on spacecraft and robotics.
Intellisense’s intelligent radio frequency (RF) system enable wireless devices and platforms to sense and learn the characteristics of the communications environment in real time, providing enhanced communication quality, reliability and security. By integrating BrainChip’s Akida neuromorphic processor, Intellisense can deliver even more advanced, yet energy efficient, cognitive capabilities to its RF system solutions.
One such project is the development of a new Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight and power (SWaP).
- NASA looks to BrainChip’s spiking neural network chip
- BrainChip integrates Akida AI core with ARM Cortex-M85
- BrainChip tapes out its AI chip in 22nm FD SOI
“By integrating BrainChip’s Akida processor into our cognitive radio solutions, we will be able to provide our customers with an unparalleled level of performance, adaptability and reliability,” said Frank Willis, President and CEO of Intellisense.
“Intellisense provides advanced sensing and display solutions and we are thrilled to be partnering with them to deliver the next generation of cognitive radio capabilities,” said Sean Hehir, CEO of BrainChip. “Our Akida processor is uniquely suited to address the demanding requirements of cognitive radio applications and we look forward to continue partnering with Intellisense to deliver cutting-edge embedded processing with AI on-chip to their customers.”
www.brainchip.com
Can someone dig a little bit deeper…
www.eenewseurope.com
POLYN Technology has introduced VibroSense, a Tiny AI chip for vibration monitoring sensor nodes. VibroSense greatly reduces the amount of sensor data transmitted to the cloud, saving on power consumption and enabling energy-harvesting designs.
VibroSense extracts unique patterns from sensor’s raw signal and passes the valuable data only for classification at the next compute point. It smoothly and simply integrates into existing solutions to improve the ROI and OPEX of the deployment. It is particularly suited to Industry 4.0 applications.
“PdM solutions usually require cloud services and are resource-hungry,” said Eugene Zetserov, Vice President of Marketing for POLYN. “The sensor node consumes a lot of electricity on vibration data transmission. Collecting data from many sensors requires considerable resources such as the sensor node itself, radio bandwidth, data processing and storage in the cloud
“VibroSense reduces the need for these resources through a thousandfold reduction of sensor data to be sent for analysis in the central cloud or at the edge.”
POLYN provides a framework for trained neural networks conversion into an analog neuromorphic chip for inference. It supports a hybrid architecture where unique patterns of the specific signal extracted in the analog portion, leaving classification for the digital element. In this way VibroSense supports flexibility along with power consumption savings and specific machine adaptation to allow various deployments within the same chip.
“VibroSense is the only analog neuromorphic product on the market today that extracts vibration signal patterns at the sensor level. It not only saves IIoT network bandwidth and reduces total cost of ownership, it enables faster adaptation of predictive maintenance systems, better performance and sustainability,” Zetserov said.
POLYN is a fabless semiconductor company providing application specific Neuromorphic Analog Signal Processing (NASP) technology and Neuromorphic Front End (NFE) chips for always-on sensor-level systems. NFE enables ultra-low power consumption, low latency, and high resiliency for novel AI products at the thin edge.
www.polyn.ai
Application-specific vibration pre-processing chip
Application-specific vibration pre-processing chip
AI chip enables a thousandfold reduction of vibration sensor data to be sent for analysis in the central cloud or at the edge.
www.eenewseurope.com
POLYN Technology has introduced VibroSense, a Tiny AI chip for vibration monitoring sensor nodes. VibroSense greatly reduces the amount of sensor data transmitted to the cloud, saving on power consumption and enabling energy-harvesting designs.
VibroSense extracts unique patterns from sensor’s raw signal and passes the valuable data only for classification at the next compute point. It smoothly and simply integrates into existing solutions to improve the ROI and OPEX of the deployment. It is particularly suited to Industry 4.0 applications.
“PdM solutions usually require cloud services and are resource-hungry,” said Eugene Zetserov, Vice President of Marketing for POLYN. “The sensor node consumes a lot of electricity on vibration data transmission. Collecting data from many sensors requires considerable resources such as the sensor node itself, radio bandwidth, data processing and storage in the cloud
“VibroSense reduces the need for these resources through a thousandfold reduction of sensor data to be sent for analysis in the central cloud or at the edge.”
POLYN provides a framework for trained neural networks conversion into an analog neuromorphic chip for inference. It supports a hybrid architecture where unique patterns of the specific signal extracted in the analog portion, leaving classification for the digital element. In this way VibroSense supports flexibility along with power consumption savings and specific machine adaptation to allow various deployments within the same chip.
“VibroSense is the only analog neuromorphic product on the market today that extracts vibration signal patterns at the sensor level. It not only saves IIoT network bandwidth and reduces total cost of ownership, it enables faster adaptation of predictive maintenance systems, better performance and sustainability,” Zetserov said.
POLYN is a fabless semiconductor company providing application specific Neuromorphic Analog Signal Processing (NASP) technology and Neuromorphic Front End (NFE) chips for always-on sensor-level systems. NFE enables ultra-low power consumption, low latency, and high resiliency for novel AI products at the thin edge.
www.polyn.ai
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