Sirod69
bavarian girl ;-)
I know you love merdesImagine stacking into this Merc without having any insurance coverage...
View attachment 28091 View attachment 28090
PS: It doesn't look quite right without the fluffy dice IMO.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Bravo
If ARM was an arm, BRN would be its biceps💪!
Boab
I wish I could paint like Vincent
There is so much simmering just below the surface I am like a cat on a hot tin roof.
Very excited for the future even if the next 4c is "Meh"
https://www.msn.com/en-au/money/com...sedgntp&cvid=2bc2077365cf4831c8c02d341324c261
Reuters
FollowView Profile
I've known rear-view mirrors that have kept working well beyond the warranty period.
Reuters
FollowView Profile
Ford recalls 462,000 vehicles for rear camera display failure
Story by By David Shepardson • 5h agoI've known rear-view mirrors that have kept working well beyond the warranty period.
JK200SX
Regular
This is very good, and it means that there is substantially more work going on at Brainchip than the current team can cope with!
"Firsthand experience with object classification, object detection, face recognition, keyword spotting a plus"
This article from Texas Instruments has a few of our favourite keywords in it
Low-power radar sensing for building automation:
To support the next generation of smart homes and cities, homes and office spaces must be smarter, more interconnected, efficient, safer and provide higher comfort level to the people. An awareness of environment and artificial intelligence is needed to achieve these objectives. Sensors like the IWRL6432 help meet designers demands for more energy efficient and intelligent sensing. These devices consume only 2 mW to 5 mW on an average at lower duty cycles, due to deep sleep modes, a critical feature for interconnected homes and buildings with sensors that need to sense continuously for longer durations. Despite consuming lower power than previous generations of millimeter wave (mmWave) radar sensors, these devices deliver the level of intelligence needed for modern smart home and city application through on-chip data processing capabilities – enabling motion detection, gesture recognition and decision making at the edge.
Low-power radar sensing for factory automation
Low-power radar sensing for personal electronics
Low-power radar sensing for in-cabin automotive applications
SSZT050 Technical article | TI.com
How Low-Power 60-GHz mmWave Radar Sensors Enable High-Accuracy Sensing in More Applications Than Ever Before
e2e.ti.com
How low-power 60-GHz mmWave radar sensors enable high-accuracy sensing in more applications than ever before
Low-power radar sensing for building automation:
To support the next generation of smart homes and cities, homes and office spaces must be smarter, more interconnected, efficient, safer and provide higher comfort level to the people. An awareness of environment and artificial intelligence is needed to achieve these objectives. Sensors like the IWRL6432 help meet designers demands for more energy efficient and intelligent sensing. These devices consume only 2 mW to 5 mW on an average at lower duty cycles, due to deep sleep modes, a critical feature for interconnected homes and buildings with sensors that need to sense continuously for longer durations. Despite consuming lower power than previous generations of millimeter wave (mmWave) radar sensors, these devices deliver the level of intelligence needed for modern smart home and city application through on-chip data processing capabilities – enabling motion detection, gesture recognition and decision making at the edge.
Low-power radar sensing for factory automation
Low-power radar sensing for personal electronics
Low-power radar sensing for in-cabin automotive applications
Bravo
If ARM was an arm, BRN would be its biceps💪!
Howdy Gang!
Following on from Cerence's 25th Annual Needham Growth Conference (as discussed above), I've just had the opportunity to take a peek at the Cerence Investor Day Destination Next pdf which you can access here if you wish to https://cerence.gcs-web.com/static-files/4fd79f3e-2c0a-429a-841e-dcc68fc52e83
So the way I see now it is that AKIDA is 99.999999% likely to be incorporated in the "Cerence Immersive Companion" and I'll explain why.
Firstly, you'll see on one of the slides I've posted it lists the "New Innovations" including enhanced in-cabin audio AI, surroundings awareness, teachable AI, and a multi-sensory experience platform in addition to other features. These New Innovations will be rolled out in FY 23/24.
Secondly, there's a slide that shows Niils Shanz and the slide highlights his work on the MBUX, hyperscreen and "Hey Mercedes" voice assistant.
Thirdly, remember at the Cerence's 25th Annual Needham Growth Conference when Stefan Ortmanns said in relation to NVDIA something like "So you're right. They have their own technology, but our technology stack is more advanced. And here we're talking about specifically Mercedes where they're positioned with their hardware and with our solution." I believe that this comment was made in reference to the Vision EQXX voice control system which is what I think is being referred to by Cerence as the new "enhanced in-cabin audio AI" which will roll out in FY23/24 as part of the Cerence Immersive Companion.
Fourthly, another slide shows "Multisensory Inputs" which includes full HMI solution integrating multi-modal inputs (incl. conversational AI, DMS, facial, gaze, gesture, emotion, etc.) and multi-modal outputs (incl. voice, graphic, haptic, vibration, etc.) I bolded the ect because I thought that could be hinting at smell and taste.
Fifthly, Stefan Ortmans said that Cerence's technology is more advanced than NVDIA's and that Qualcomm are using it too, so that rules out NVDIA and Qualcomm from being the magic edge computing ingredient.
Sixthly, Arm and Cerence are partners.
Seventhly, everything adds up nicely in terms of functionality, time-lines and just the general vibe IMO.
Eighthly, DYOR because I often have no idea what I'm talking about.
B
View attachment 27644
View attachment 27645
View attachment 27646
View attachment 27648
View attachment 27649
View attachment 27651
Speaking of the "Cerence Immersive Companion". We know from the above that its "New Innovations" including enhanced in-cabin audio AI, surroundings awareness, teachable AI, and a multi-sensory experience platform in addition to other features will be rolled out in FY 23/24.
Must be purely co-incidental then that BMW's is planning an introduction to the new BMW Operating System 9 on selected X1 models in the United Kingdom from the second quarter of this year, as part of an initial pilot phase. It says in this article "iDrive 9 will be primarily touchscreen-based, and BMW plans on even more advanced voice recognition to be an important form of interaction". It also says that the "OS 9 requires new hardware, so existing cars with OS 8 cannot be upgraded to OS 9".
BMW Operating System 9 to debut on the X1 SUV from Q2 2023 - powers new iDrive 9 infotainment system - paultan.org
BMW has announced that it will begin offering the new BMW Operating System 9 on selected X1 models in the United Kingdom from the second quarter of this year, as part of an initial pilot …
BMW Operating System 9 to debut on the X1 SUV from Q2 2023 – powers new iDrive 9 infotainment system
In BMW, Cars, International News / By Gerard Lye / 27 January 2023 9:27 am / 0 commentsBMW has announced that it will begin offering the new BMW Operating System 9 on selected X1 models in the United Kingdom from the second quarter of this year, as part of an initial pilot phase. The German carmaker had already announced last year that it would use Google’s Android Automotive OS (AAOS) for its operating system that powers the brand’s iDrive infotainment system.
The new OS 9 (used for iDrive 9), supersedes Operating System 8 (used for iDrive 8), with the latter first making its debut in 2021 on the iX. Several other BMW models have since received iDrive 8, which comes with the Curved Display, like the i4, 2 Series Active Tourer, 2 Series Coupe, 3 Series facelift, 7 Series, iX1, X1 and XM.
“This new operating system opens the door to an extended range of apps, optimised touch control and more frequent updates. Additional BMW compact class models will follow suit in other countries over the course of 2023,” the company said in its release.
Earlier this month at the Consumer Electronics Show (CES), BMW previewed OS 9 and told BMW Blog that the second-generation X2 as well as new MINI models would get iDrive 9. It also said that OS 9 requires new hardware, so existing cars with OS 8 cannot be upgraded to OS 9.
While it may appear that iDrive 8 is going to be short-lived, BMW said that current cars with the “older” system will be updated to iDrive 8.5. This will have the same look and user interface as iDrive 9, but certain features like a new app store (Customer Digital Ecosystem) won’t be available.
Stephan Durach, senior vice president of connected company development at BMW Group, explained that the difference in basic coding platforms (as well as hardware) each car uses is the reason why the entry-level X1 and X2 will get iDrive 9, but the flagship 7 Series only gets iDrive 8.5. Durach added that iDrive 8-equipped cars have Linux-based systems, whereas the newer X1, X2 and upcoming MINI models (Aceman, Cooper) have Android-based systems.
It should also be noted that BMW will only be using the open source Android software as the base layer of OS 9 and will leave out the Google Automotive Services (GAS) portion of AAOS, so it isn’t a full integration with services like Google Maps and the Play Store. Companies like Rivian, Lucid and Maserati are going down this path, while Volvo opted to include GAS in its infotainment software.
In the X1, you’ll notice there isn’t a rotary controller that is typical of iDrive systems since 2001. This is because iDrive 9 will be primarily touchscreen-based, and BMW plans on even more advanced voice recognition to be an important form of interaction. However, Autoblog reports that larger, more expensive models will retain the iDrive controller as they make the transition, likely to accommodate an older audience that may not like tapping on a screen for everything.
Last edited:
hamilton66
Regular
D, pinched this from basketfan on the chn forum. A must listen for s/hs in ANY co!
GLTA
Learning
Learning to the Top 🕵♂️
"The automotive industry is expected to have the highest growth (11% CAGR) of all semiconductor segments through to 2026."
www.automotiveworld.com
With partnerships with Valeo, Socionext, Mercedes, Renesas, MegaChips and VVDN playing part in the automotive industry, BrainChip future is looking a lot rosy. (JMHO, DYOR)
Learning 🏖
What does the semiconductor shortage mean for Europe? | Automotive World
Boston Consulting Group explores the implications for a prolonged shortage of chips for Europe's automotive industry
www.automotiveworld.com
With partnerships with Valeo, Socionext, Mercedes, Renesas, MegaChips and VVDN playing part in the automotive industry, BrainChip future is looking a lot rosy. (JMHO, DYOR)
Learning 🏖
hamilton66
Regular
Dhm
Regular
I love the podcast ‘Conversations’ with Richard Fidler on ABC radio. They generally have people with fascinating life stories. They have a ‘suggest a guest’ tab and I suggested PVDM. I think he would make a fascinating interviewee (is that a word?) and I very briefly ran thru about how he was a forefather of neuromorphic computing, SNNs, and why edge inference will be the future.
Hopefully coming to ABC radio near you.
https://www.abc.net.au/radio/programs/conversations
Hopefully coming to ABC radio near you.
https://www.abc.net.au/radio/programs/conversations
Last edited:
Easytiger
Regular
NVISO AI Apps are specifically designed for resource constrained low-power and low-memory hardware platforms deployed at the extreme edge. These AI Apps analyse core signals of human behaviour, such as body movements, facial expressions, emotions, identity, head pose, gaze, eye state, gestures or activities, and identify objects with which users interact. In addition, these AI Apps can be optimised for typically resource constrained, low power and low-cost processing platforms deployed on the edge, as demonstrated with ultra-compact models such as the Emotion Recognition AI App with less than 100KB of memory. Furthermore, NVISO AI Apps can be easily configured to suit specific camera systems for optimal performance in terms of distance and camera angle, and thanks to NVISO’s large scale proprietary human behaviour databases NVISO’s AI Apps are robust to the imaging conditions often found in real world deployments. Unlike cloud-based solutions, NVISO’s solutions do not require information to be sent off-device for processing elsewhere so user privacy and safety can be protected.
Deadpool
Did someone say KFC
Isn't it great to see a CEO fight back to these bastards.
"Naked synthetic shorts", WTF
This might be wild speculation but hey , who ever thought we would be in Intel’s ecosystem. We’ve got plenty of Synapses to share around.
Microsoft CEO Nadella: 'Expect us to incorporate AI in every layer of the stack'
During Microsoft's fiscal first-quarter conference call, Tuesday, CEO Satya Nadella told Wall Street the company's private deal with OpenAI will pervade Microsoft's cloud computing operations. It's so big, he said, it's going to "transform" the company's Azure business.
OpenAI, he said, represents part of the next wave in computing. "The next big platform wave, as I said, is going to be AI, and we strongly also believe a lot of the enterprise value gets created by just being able to catch these waves and then have those waves impact every part of our tech stack and also create new solutions and new opportunities," said Nadella.
To that end, Microsoft "fully expect to, sort of, incorporate AI in every layer of the stack, whether it's in productivity, whether it's in our consumer services, and so we're excited about it."
Of the partnership with OpenAI, Nadella remarked, "There's an investment part to it, and there's a commercial partnership, but, fundamentally, it's going to be something that's going to drive, I think, innovation and competitive differentiation in every one of the Microsoft solutions by leading in AI."
Right now, the exemplary applications developed with OpenAI are GitHub CoPilot, where the neural nets assist programmers with completing coding tasks. "GitHub Copilot is, in fact, you could say the most at-scale LLM," said Nadella, using industry jargon for neural nets that handle language, so-called Large Language Models, "based on product out there in the marketplace today."
OpenAI's GPT-3, which forms part of ChatGPT's functioning, is one of the world's largest Large Language Models, as measured by number of parameters, or neural "weights."
Nadella suggested the company will further embed the technology in Microsoft's wares, including something called Synapse. Synapse is Microsoft's catch-all database approach that allows for things such as a "data warehouse" and a "data lake," common ways of grouping data for analysis, and then the performance of queries against those curated databases.
"You can see us with data services beyond Azure OpenAI Service," Nadella told the analysts, "Think about what Synapse plus OpenAI APIs can do," without elaborating.
After telling analysts that customers are tightening their belts with respect to cloud spending, he pivoted and said that there's ongoing investment by Microsoft in OpenAI and other AI capabilities.
In particular, Microsoft Azure is having to invest to build out not just the part of its computing facilities that develop the OpenAI code, what's known as "training," but also the vast infrastructure to respond to millions of queries by users of the software, known in the trade as "inference."
"We're working very, very hard to build both the training supercomputers and now, of course, the inference infrastructure," he said. "Because once you use AI inside of your applications, it goes from just being training heavy to inference."
That change in design, said Nadella, will further drive customers to Azure. "I don't think any application start that happens next is going to look like the application starts of 2019 or 2020," he said.
"They're all going to have considerations around how is my AI inference, performance, cost, model is going to look like, and that's where we are well-positioned again."
As a result of the pervasive creep of AI, said Nadella, "I think, core Azure itself is being transformed, the infrastructure business is being transformed."
Microsoft CEO Nadella: 'Expect us to incorporate AI in every layer of the stack'
During Microsoft's fiscal first-quarter conference call, Tuesday, CEO Satya Nadella told Wall Street the company's private deal with OpenAI will pervade Microsoft's cloud computing operations. It's so big, he said, it's going to "transform" the company's Azure business.
OpenAI, he said, represents part of the next wave in computing. "The next big platform wave, as I said, is going to be AI, and we strongly also believe a lot of the enterprise value gets created by just being able to catch these waves and then have those waves impact every part of our tech stack and also create new solutions and new opportunities," said Nadella.
To that end, Microsoft "fully expect to, sort of, incorporate AI in every layer of the stack, whether it's in productivity, whether it's in our consumer services, and so we're excited about it."
Of the partnership with OpenAI, Nadella remarked, "There's an investment part to it, and there's a commercial partnership, but, fundamentally, it's going to be something that's going to drive, I think, innovation and competitive differentiation in every one of the Microsoft solutions by leading in AI."
Right now, the exemplary applications developed with OpenAI are GitHub CoPilot, where the neural nets assist programmers with completing coding tasks. "GitHub Copilot is, in fact, you could say the most at-scale LLM," said Nadella, using industry jargon for neural nets that handle language, so-called Large Language Models, "based on product out there in the marketplace today."
OpenAI's GPT-3, which forms part of ChatGPT's functioning, is one of the world's largest Large Language Models, as measured by number of parameters, or neural "weights."
Nadella suggested the company will further embed the technology in Microsoft's wares, including something called Synapse. Synapse is Microsoft's catch-all database approach that allows for things such as a "data warehouse" and a "data lake," common ways of grouping data for analysis, and then the performance of queries against those curated databases.
"You can see us with data services beyond Azure OpenAI Service," Nadella told the analysts, "Think about what Synapse plus OpenAI APIs can do," without elaborating.
After telling analysts that customers are tightening their belts with respect to cloud spending, he pivoted and said that there's ongoing investment by Microsoft in OpenAI and other AI capabilities.
In particular, Microsoft Azure is having to invest to build out not just the part of its computing facilities that develop the OpenAI code, what's known as "training," but also the vast infrastructure to respond to millions of queries by users of the software, known in the trade as "inference."
"We're working very, very hard to build both the training supercomputers and now, of course, the inference infrastructure," he said. "Because once you use AI inside of your applications, it goes from just being training heavy to inference."
That change in design, said Nadella, will further drive customers to Azure. "I don't think any application start that happens next is going to look like the application starts of 2019 or 2020," he said.
"They're all going to have considerations around how is my AI inference, performance, cost, model is going to look like, and that's where we are well-positioned again."
As a result of the pervasive creep of AI, said Nadella, "I think, core Azure itself is being transformed, the infrastructure business is being transformed."
Last edited:
Good Afternoon Hamilton66,
DEFINITELY send this through to Director Tony Dawe, Brainchip Investor Relations, to pass on to CEO Sean Hehir.
Great video, & what a legend of a CEO taking these pricks to task.
Obviously one CEO who was not happy to let the share price do what the share price did.
Not shaw whether THE BULLDOG dose any business in Australia but myself as a holder in Brainchip would be 100% supportive in Brainchip Management engaging the services of such individual. Money well spent from this shareholders perspective.
Time to weed out these pests from sharemarkets and let the , True Market, value companys.
* One very interesting thing I just learnt from the above....
If Brainchip were to issue a Special Dividend this would flush out any naked shorting & also the synthetic s . Would properly F#$☆ them up , also create a whopping short squeeeeeeeze , as thay are potentialy playing with shares that don't even exist.
SPECIAL DIVIDEND of say $0.001 per Brainchip Share X roughly 1,850,000,000 total shares ( would actually be less as not all are converted or issued ) = $1,850,000.00 Au. = money well spent to clean up our registry & a little of a tickle to actual shareholders.
Do it Sean you know you want to.
I know I'm dying to watch these F$@☆'s try to cover.
Thankyou once again.
Regards,
Esq.
Last edited:
Easytiger
Regular
Renesas article.
That the industrial IoT (IIoT) marketplace is expanding at such a torrid pace is not surprising. For Renesas it signals an opportunity to accelerate adoption among our customers and ecosystem partners by enabling the convergence of three key technology areas that are maturing at roughly the same time: IoT, 5G connectivity and artificial intelligence (AI). We call this AI IoT, or AIoT, and the trend is driving a shift in how we collect, store, process, distribute, secure and power data in order to turn it into actionable intelligence we can learn from.
Image
Such a sea change entails a move away from centralized, cloud-based architectures to distributed, edge-based designs that use tiny machine learning (ML) nodes like MCUs and MPUs to define the endpoint, accelerate mathematical models and improve the performance of deep neural networks.
That the industrial IoT (IIoT) marketplace is expanding at such a torrid pace is not surprising. For Renesas it signals an opportunity to accelerate adoption among our customers and ecosystem partners by enabling the convergence of three key technology areas that are maturing at roughly the same time: IoT, 5G connectivity and artificial intelligence (AI). We call this AI IoT, or AIoT, and the trend is driving a shift in how we collect, store, process, distribute, secure and power data in order to turn it into actionable intelligence we can learn from.
Image
Such a sea change entails a move away from centralized, cloud-based architectures to distributed, edge-based designs that use tiny machine learning (ML) nodes like MCUs and MPUs to define the endpoint, accelerate mathematical models and improve the performance of deep neural networks.
S
Straw
Guest
Yes that was the point of the post. Everyone has a different financial/investment/personal situation. The SP from day to day (save short attack) is of no interest to me personally. Of course I want everything to happen now doesn't mean I'll get it.Does it matter? Will it change what the company achieves?
Deadpool
Did someone say KFC
Thanks Hamilton, Its actually feels really good to see that a movement is gaining traction in USA with nailing these naked shorting assholes to the wall.
Similar threads
