BRN Discussion Ongoing

[Bravo]

Looks like we're still in the running for future smartphones, etc from Sumsung then.

Samsung: Reports of new internal CPU development team are not true​

Last updated: March 6th, 2023 at 15:15 UTC+01:00

After a series of disappointments with Exynos processors, Samsung completely switched to Qualcomm chips for the Galaxy S23. The company will reportedly use a Qualcomm chip for the Galaxy S24 series as well. Over the past few days, reports claimed that Samsung restarted the development of custom CPU cores for future Galaxy devices. However, the South Korean firm claims those reports are untrue.
Regarding recent reports, Samsung Electronics reached out to us and said, “A recent media report that Samsung has established an internal team dedicated to CPU core development is not true. Contrary to the news, we have long had multiple internal teams responsible for CPU development and optimization, while constantly recruiting global talents from relevant fields.” This clearly indicates that the company hasn’t started developing custom CPU cores for its future smartphones, tablets, and laptops.

Samsung might continue using ARM’s stock CPU cores in its phones​

Samsung’s statement indicates that it might continue using ARM’s stock CPU cores in its future smartphones. ARM has reportedly changed its licensing terms, disallowing OEMs from making changes to its stock designs. ARM and Qualcomm have been at odds with each other regarding licensing terms of ARM’s CPU core designs ever since Qualcomm acquired Nuvia.

Some reports claimed in the past that Samsung MX, Samsung Electronics’ mobile phone division, has created an internal team to develop in-house smartphone chipsets from scratch. However, there hasn’t been any official information in this regard. It is being reported that Samsung will switch to an in-house chipset for the Galaxy S25 in early 2025.

Samsung has been under constant pressure from consumers due to the sub-par performance of Exynos processors. The company was also embroiled in the controversy related to GOS (Game Optimization Service) that reduced peak gaming performance on the Galaxy S22 series for stable sustained performance. Later, the company had to offer an option to turn off GOS on its smartphones through a software update.
PHONETABLET SAMSUNG ELECTRONICSSAMSUNG MXSAMSUNG SEMICONDUCTORSYSTEM LSI

Samsung: Reports of new internal CPU development team are not true

After a series of disappointments with Exynos processors, Samsung completely switched to Qualcomm chips for the Galaxy S23. The company ...

www.sammobile.com

Sam

 

[Diogenese]

View attachment 31435
I think this is the reason why Brainchip is pushing for a different way to benchmark Edge AI processors as TOPS has been weighted to much in terms of power and capability. Akida’s top end is 50 TOPs yet according to Nviso Akida outperformed Nvidia in every way.

So if Akida with much less TOPS then Nvidia processors can outperform them, then benchmarking has to change to ensure true value gets highlighted.

Sorry if I misunderstand this as I am not a super technical guy.

HI TFM,

That is the beauty of Akida - it does not need to perform all those operations to get the result because of its sparsity. Spikes are sparse, only occuring in response to an event.

In addition, the N-of-M coding (rank coding) takes advantage of the retinal receptor/pixel response time to eliminate spikes without significant data.

So frames per second per Watt would be a more meaningful comparison, or its equivalent for voice - say, eg, inferences per second per Watt.

A benchmark which compares results is better than a benchmark which counts the steps to get to the result.

 

[Townyj]

Sorry if posted already

Redirecting

www-arteris-com.cdn.ampproject.org

View attachment 31454

Ermmm... Well then.. This is interesting.

 

[ndefries]

Ok all this excitement. Another 40k added to my drawer.

 

[HopalongPetrovski]

I have just noticed that Nabtrade is not showing if transactions are cross trades or any of that type of info today?
Not sure how long it's been absent.
Are other platforms still routinely showing this info when you look at the course of trades?

 

[Esq.111]

I have just noticed that Nabtrade is not showing if transactions are cross trades or any of that type of info today?
Not sure how long it's been absent.
Are other platforms still routinely showing this info when you look at the course of trades?

Afternoon HoppalongPetrovski,

Comsuck is displaying all trades, codes.
Wether it's an accurate depiction of what's actually happening is debatable.

.

Regards,
Esq.

 

[Bravo]

Spot on. No doubt about Ispolon.

Had a little read about Ispolon.

I have said it a few times too many but I believe AKIDA and cognitive communications across radio, wifi, 3,4,5,6G will be a stellar market.

My opinion only DYOR
FF

AKIDA BALLISTA

Maybe some further connection here to dig into with BrainCHip + Tata + Ipsolon + Renasas because of mutual interests in radio frequency stuff.

Funny how the same names keep cropping up all over the place.

 

[Makeme 2020]

RENESAS SHOWCASING NEW PRODUCTS AT EMBEDDED WORLD MARCH 14 -16

​ Date:​ March 14-16, 2023​ Location:​ Nuremberg, Germany​ Booth:​ Hall 1, Stand 234 (1-234)​ Register Now Visit us at Embedded World and discover our latest solutions to make our lives easier. Whatever your area of electronic design, our experts will be on hand to showcase our latest technologies in the following demos: ADAS, xEV, and E/E Architecture Change Explore our extensive automotive roadmaps for ADAS, xEV, and E/E architecture change. Automotive Radar & Front Camera System with R-Car V4H Automotive Radar Sensors Next-Gen AD/ADAS Solution with R-Car V4H Wireless Battery Management Solution & Position Sensing Wireless Battery Management System Automotive Inductive Position Sensors Solutions for Connected Gateway & Zone Control Automotive Communication Gateway Platform Zone-ECU Virtualization Solution Platform Winning Combination Reference Designs Delve into our Analog + Power + Embedded Processing + Connectivity product portfolios and the resulting comprehensive solutions for consumer, industrial and automotive applications. Join us for a major announcement around Quick-Connect IoT and see solutions from various partners. Learn More Quick-Connect IoT MCUs & MPUs Explore our wide portfolio of industry leading MCUs & MPUs. RA 32-bit MCUs RL78 low power 8 & 16-bit MCUs RZ MPUs for Vision AI, HMI, and Industrial Automation Connectivity Solutions & Wi-Fi 6/6E Check out our connectivity solutions featuring the Future with Matter protocol and Wi-Fi 6/6E. Learn More Wi-Fi 6/6E Analog & Power See our Analog & Power offering including sensor solutions with Arduino and GreenPAK. GreenPAK Environmental Sensors

​ Visit us at Embedded World and discover our latest solutions to make our lives easier. Whatever your area of electronic design, our experts will be on hand to showcase our latest technologies in the following demos:

​ Date:​ March 14-16, 2023​ Location:​ Nuremberg, Germany​ Booth:​ Hall 1, Stand 234 (1-234)​ Register Now Visit us at Embedded World and discover our latest solutions to make our lives easier. Whatever your area of electronic design, our experts will be on hand to showcase our latest technologies in the following demos: ADAS, xEV, and E/E Architecture Change Explore our extensive automotive roadmaps for ADAS, xEV, and E/E architecture change. Automotive Radar & Front Camera System with R-Car V4H Automotive Radar Sensors Next-Gen AD/ADAS Solution with R-Car V4H Wireless Battery Management Solution & Position Sensing Wireless Battery Management System Automotive Inductive Position Sensors Solutions for Connected Gateway & Zone Control Automotive Communication Gateway Platform Zone-ECU Virtualization Solution Platform Winning Combination Reference Designs Delve into our Analog + Power + Embedded Processing + Connectivity product portfolios and the resulting comprehensive solutions for consumer, industrial and automotive applications. Join us for a major announcement around Quick-Connect IoT and see solutions from various partners. Learn More Quick-Connect IoT MCUs & MPUs Explore our wide portfolio of industry leading MCUs & MPUs. RA 32-bit MCUs RL78 low power 8 & 16-bit MCUs RZ MPUs for Vision AI, HMI, and Industrial Automation Connectivity Solutions & Wi-Fi 6/6E Check out our connectivity solutions featuring the Future with Matter protocol and Wi-Fi 6/6E. Learn More Wi-Fi 6/6E Analog & Power See our Analog & Power offering including sensor solutions with Arduino and GreenPAK. GreenPAK Environmental Sensors ​ ​ ​ ​ ​ Renesas Electronics Singapore Pte. Ltd. 80 Bendemeer Road, 06-02 Hyflux Innovation Centre, Singapore 339949 Tel: +65 6213 0200 Renesas Electronics India Pvt. Ltd. Bagmane Tech Park, Municipal No. 66/1-4, Lakeview Block, Block B, Ground Floor, Krishnappa Garden, C V Raman Nagar, Bengaluru, Karnataka 560 093 Tel: +91 80 6720 8700​ Unsubscribe or Manage your Communication Preferences For details on Renesas Electronics' Privacy Policy, please click here, or to Contact Us, click here. If you are having problems viewing this email, you can view as a webpage.​

 

[jtardif999]

So are we are finally done with stealth mode? Time will tell.

Don’t think so, all of the companies listed in the scroll comments have been happy to tell everyone they love BRN they are not hiding behind NDAs. Leaves all those who have NDAs still same same..

 

[Steve10]

Looks ok on 15min chart. Has golden crossed & MACD turned green. We'll see if it holds the breakaway gap.

It's about to GC on 30min chart as well but MACD still not green.

 

[Reuben]

Awesome thanks, you beat me to it.

A good Friend of mine Reuben asked me to post the following screenshots from a facebook group plus the article.

Here are the facebook screenshots

View attachment 31404


View attachment 31403



Here is he Google SIFive X280 article

https://www.datacenterdynamics.com/en/news/google-deploys-sifives-intelligence-x280-processor-for-ai-workloads/

Google deploys SiFive's Intelligence X280 processor for AI workloads​

Hybridizes the RISC-V cores with TPU architecture
September 22, 2022 By Sebastian Moss Have your say
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Google is using the RISC-V-based SiFive Intelligence X280 processor in combination with the Google TPU, as part of its portfolio of AI chips.
Fabless chip designer SiFive said that it was also being used by NASA, Tenstorrent, Renesas, Microchip, Kinara, and others.
RISC-V is an open standard instruction set architecture based on established RISC principles, which is provided under open source licenses that do not require fees.

– SiFive/Google
At the AI Hardware Summit in Santa Clara, Krste Asanovic, SiFive's co-founder and chief architect took to the stage with Cliff Young, Google TPU Architect and MLPerf co-founder.
The SiFive Intelligence X280 is a multi-core capable RISC-V processor with vector extension, optimized for AI/ML applications in the data center.
At the summit, the two companies explained that the X280 processor is being used as the AI Compute Host to provide flexible programming combined with the Google MXU (systolic matrix multiplier) accelerator in the data center. However, they did not disclose the scale of the deployment.
SiFive has introduced the Vector Coprocessor Interface eXtension (VCIX), allowing customers to plug an accelerator directly into the vector register file of the X280.
Google already uses third-party ASIC design services with Broadcom for its in-house TPU AI chip, instead focusing on developing its strengths - the Matrix Multiply Unit and the Inter-Chip Interconnect.
Now it is adding the X280 in what Google calls "an elegant division of labor with the TPU," taking the MXUs and combining them with the X280.
Google's Cliff Young said that with SiFive VCIX-based general purpose cores “hybridized” with Google MXUs, you can build a machine "that lets you have your cake and eat it too."

Thanks for posting it @TechGirl .... huge news.... x280 processor from sifive is something i will keep my eyes open from now.. now that we know it is with google...

 

[Fullmoonfever]

Just revisited this research article I skimmed mid last year.

Only cause discussed SNN and had Infineon and BMW authors amongst the others haha

Too technical for me but maybe @Diogenese could have a skim?

Reason for revisit is I recalled some of the new capabilities or similar that is in our new platform being discussed.

Scene / Semantic Segmentation, Spatial Temporal etc and also get a note reference at one section to Thorpes rank order coding.

They discuss some of these needs and the benefits for radar in ADAS.

They discuss Spinnaker and Loihi at this time however I suspect the new Akida functionalities could assist?

Frontiers | Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges

Frequency-modulated continuous wave radar sensors play an essential role for assisted and autonomous driving as they are robust under all weather and light c...

www.frontiersin.org

Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges

Frequency-modulated continuous wave radar sensors play an essential role for assisted and autonomous driving as they are robust under all weather and light conditions. However, the rising number of transmitters and receivers for obtaining a higher angular resolution increases the cost for digital signal processing. One promising approach for energy-efficient signal processing is the usage of brain-inspired spiking neural networks (SNNs) implemented on neuromorphic hardware. In this article we perform a step-by-step analysis of automotive radar processing and argue how spiking neural networks could replace or complement the conventional processing. We provide SNN examples for two processing steps and evaluate their accuracy and computational efficiency. For radar target detection, an SNN with temporal coding is competitive to the conventional approach at a low compute overhead. Instead, our SNN for target classification achieves an accuracy close to a reference artificial neural network while requiring 200 times less operations. Finally, we discuss the specific requirements and challenges for SNN-based radar processing on neuromorphic hardware. This study proves the general applicability of SNNs for automotive radar processing and sustains the prospect of energy-efficient realizations in automated vehicles.


5.3. Toward Neuromorphic Automated Driving
As motivated in the introduction, the use of neuromorphic hardware has a high potential to significantly reduce the energy demands for highly-automated driving. Besides radar signals, also camera and LIDAR data need to be processed in order to get a complete understanding of the automotive scene. For image processing there already exist first attempts to solve complex tasks with SNNs, e.g., for object detection (Kim et al., 2020) or semantic segmentation (Kim et al., 2021). Also recently, Viale et al. (2021) realized an SNN on Loihi for car detection using a dynamic vision sensor. Using LIDAR data, which is naturally sparse and thus predestined for SNNs, Zhou et al. (2020) showed a spiking convolutional network for real-time 3D object detection. Shalumov et al. (2021) use LIDAR data for SNN-based collision avoidance with a control network based on the neural engineering framework. All these examples show that SNN-based sensor processing for autonomous driving is a trending topic. Besides the development of SNNs and their implementation on neuromorphic hardware, also the combined processing, i.e., sensor fusion using SNNs, will become an important topic.

When it comes to AI-based autonomous driving, ensuring functional safety of both software and hardware is a critical issue. The principles that are currently developed to support machine learning models (Henriksson et al., 2018; Mohseni et al., 2019) will also apply to SNNs. Similarly, neuromorphic hardware will have to fulfill the same standards as any automotive electronic system: adhere to temperature ranges, be resistant to vibrations, be deterministic and redundant, or contain self-monitoring. For that reason, only digital neuromorphic systems are candidates for integration in cars, while the use of analog or mixed-signal neuromorphic hardware seems out of scope at the moment due to their intrinsic variability. Hence, we suggest to focus on advanced digital systems such as SpiNNaker2 (Yan et al., 2021) or Loihi2 (Orchard et al., 2021) to further explore neuromorphic hardware for automotive radar processing and automated driving in general.

 

[robsmark]

The same thing that happens everyday after we run up 15% is my guess.

I think this proves that without deals being signed with guarantees of near-term revenue, or proven revenue from the existing two contracts, we aren’t going anywhere.

Shorts will continue to devalue this company until the company provides the market with further proof of adoption.

Non-material announcements don’t get much better than yesterdays, but unfortunately it didn’t generate the financial traction required to reverse the trend.

It is crucial that some of these EAP customers show some commitment to Brainchip by signing a deal. I see no reason why this shouldn’t be the case either given how the company has already announced that changes make to this latest revision were directly requested by the EAP customers.

More time is required I guess.

 

[Rise from the ashes]

I think this proves that without deals being signed with guarantees of near-term revenue, or proven revenue from the existing two contracts, we aren’t going anywhere.

Shorts will continue to devalue this company until the company provides the market with further proof of adoption.

Non-material announcements don’t get much better than yesterdays, but unfortunately it didn’t generate the financial traction required to reverse the trend.

It is crucial that some of these EAP customers show some commitment to Brainchip by signing a deal. I see no reason why this shouldn’t be the case either given how the company has already announced that changes make to this latest revision were directly requested by the EAP customers.

More time is required I guess.

And maybe throw in some nefarious forces with deep pockets who are pressuring prices down to accumulate.
Which imo is a very good possibility.

 

[robsmark]

And maybe throw in some nefarious forces with deep pockets who are pressuring prices down to accumulate.
Which imo is a very good possibility.

That’s just wishful thinking until proven though unfortunately Rise.

Those institutions which have accumulated thus far are questionable to me also - someone is making a fortune lending them to shorters, how do we know this isn’t their strategy with this company?

 

[Rise from the ashes]

That’s just wishful thinking until proven though unfortunately Rise.

Those institutions which have accumulated thus far are questionable to me also - someone is making a fortune lending them to shorters, how do we know this isn’t their strategy with this company?

I doubt that would ever be able to be proven though so yes really pointless of me to have mentioned it.
Those shorts will eventually have to unwind which will logically move the price up. Yes logic seems to be non-existent these days. But like you mentioned in a previous post a little more time is needed.
Not that it means shit but my confidence level is pretty high that this is going to rock hard this year mate. And had that same feeling before we got the sugar hit yesterday. Lots of new info to dissect from that. I'll cut it short before I start to ramble on.

 

[Rise from the ashes]

And... Ramble I shall
Think of all the companies that are working with brn then think of all the employees who work with then then think of all the friends and associates connected to them oh boy he comes the tin foil quite a few of them could be collaborating to keep prices down for accumulation. And that's it for my ramblings. Before I bring UFOs into the post
Because we all know pvdm is a time traveler from the future.

 

[Fact Finder]

SiFive and BrainChip Partner to Demo IP Compatibility
SiFive and BrainChip have partnered to show their IP is compatible in SoC designs for embedded artificial intelligence (AI). The companies have demonstrated BrainChip’s neuromorphic processing unit (NPU) IP working alongside SiFive’s RISC–V host processor IP.
Brainchip’s NPU processor IP, the basis for its Akida chip, is a neuromorphic processor designed to accelerate spiking neural networks. This IP can be used to analyze inputs from most sensor types, including cameras, to provide ultra–low power analysis in real–time applications. A recent BrainChip demo showed its Akida chip in a vehicle, detecting the driver, recognizing the driver’s face, and identifying their voice simultaneously. Keyword spotting required 600 μW, facial recognition needed 22 mW, and the visual wake–word inference used to detect the driver was 6–8 mW

https://www.futurehorizons.com/assets/fh_monday_bytes_-_25_april_2022.pdf

 

[Fact Finder]

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[Tothemoon24]

‘We have so much planned’

Benchmarking AI at the edge