BRN Discussion Ongoing

[BrainShit]

So why are you here on this forum? With all of the answers you have given above. What is it that you think BrainChip can bring to the table BrainShit?

Great name by the way??!!

ANS 1. I'm here purely to exchange information and speculation.

ANS 3. Eighter it is the shit or a shit... one of them will be correct.

ANS 2. Assuming that you mean the table with Qualcomm, RISC-V and BrainChip

BrainChip brings its neuromorphic AI technology, specifically the Akida processor, its network and known partnerships to the collaboration.

Technology side:

1. Ultra-low power consumption
2. On-chip learning capabilities
3. Event-based …… ahh, you know all that stuff
4. ……...
5. ………
6. TENNs ……
7. ...

Network side (which can help … ):

1. Steven Brightfield, BrainChip's current Chief Marketing Officer, has over 20 years of experience in the semiconductor industry, including a position at Qualcomm, according to his profile. He was involved in the development and market launch of new semiconductor products. … I like Steven, he can speak fluently and straight.
2. Tony Lewis, BrainChip's Chief Technology Officer, also held a significant position at Qualcomm. At Qualcomm, he was in charge of neuromorphic computing, deep learning and robotics.
3. BrainChip and SiFive partnered already to deploy AI/ML Technology at the Edge
   Quote of Phil Dworsky, Global Head of Strategic Alliances at SiFive: Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge. Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors.”

But all this doesn't change the fact that Qualcomm has to convince its customers to at least change/evolve their products (because the new architecture provides the following benefit for customer X, customer Y, customer Z....) and take some money in hand. Qualcomm has to go a "dual vendor" strategy as long as they can.

But this collaboration could offer a unique value proposition by combining the strengths of all three parties. It would provide high-performance, energy-efficient AI processing capabilities suitable for a wide range of edge computing applications. The open nature of RISC-V, coupled with BrainChip's advanced AI technology and Qualcomm's market presence, could position this chip as a formidable competitor in the AI chip market, potentially challenging established players like ARM and x86 in certain segments.

Marketing has really work to do (carving out the individual benefits for each customer!) if they going that way...

 

[manny100]

They're not bluffing and I would do the same, kind of kicking out the "man-in-the-middle" and reduce production costs (get rid of licence fees) and consumer product costs.

But Qualcomm needs / have to convince customer who will go the same way. In my opinion this takes time (1-3 years). Customer who already play around with alternatives may adopt a new processor architecture within 1-2 years. One major point is reducing costs. The bitter part is ... new development, tests etc..

The good part is, Akida plays well with RISC-V and ARM.

They're not bluffing and I would do the same, kind of kicking out the "man-in-the-middle" and reduce production costs (get rid of licence fees) and consumer product costs.

But Qualcomm needs / have to convince customer who will go the same way. In my opinion this takes time (1-3 years). Customer who already play around with alternatives may adopt a new processor architecture within 1-2 years. One major point is reducing costs. The bitter part is ... new development, tests etc..

The good part is, Akida plays well with RISC-V and ARM.

It's a sure thing that Qualcomm has already spoken to clients about a change of chip for wearables. There is no way a Qualcomm VP would tell a journalist before they had discussions with clients. It looks like Qualcomm intend to move away from ARM for wearables as early as 2025.
From the article:
" In 2023, Qualcomm and Google announced that they're co-developing an open-source RISC-V Snapdragon Wear platform that moves away from Arm cores for more efficient, custom-built CPUs. "
" Up until now, smartwatches using Arm cores have had the challenge of scaling up to smartphone-level functions on a battery that's an order of magnitude smaller, Bekis says. Now they're "considering something new" — which isn't a surprise, given the current Qualcomm-Arm legal fight."
" Qualcomm and Google are "working on it" right now, and I'm assuming 2025 is the target to have RISC-V software optimized."

Qualcomm VP discusses its 'next' chip for Wear OS watches

The next Snapdragon Wear chipset should be a "feature-focused" SoC with custom RISC-V or Oryon cores, AI tech, and a PC-like approach in 2025.

www.androidcentral.com

 

[Bravo]

ANS 1. I'm here purely to exchange information and speculation.

ANS 3. Eighter it is the shit or a shit... one of them will be correct.

ANS 2. Assuming that you mean the table with Qualcomm, RISC-V and BrainChip

BrainChip brings its neuromorphic AI technology, specifically the Akida processor, its network and known partnerships to the collaboration.

Technology side:

1. Ultra-low power consumption
2. On-chip learning capabilities
3. Event-based …… ahh, you know all that stuff
4. ……...
5. ………
6. TENNs ……
7. ...

Network side (which can help … ):

1. Steven Brightfield, BrainChip's current Chief Marketing Officer, has over 20 years of experience in the semiconductor industry, including a position at Qualcomm, according to his profile. He was involved in the development and market launch of new semiconductor products. … I like Steven, he can speak fluently and straight.
2. Tony Lewis, BrainChip's Chief Technology Officer, also held a significant position at Qualcomm. At Qualcomm, he was in charge of neuromorphic computing, deep learning and robotics.
3. BrainChip and SiFive partnered already to deploy AI/ML Technology at the Edge
   Quote of Phil Dworsky, Global Head of Strategic Alliances at SiFive: Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge. Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors.”

But all this doesn't change the fact that Qualcomm has to convince its customers to at least change/evolve their products (because the new architecture provides the following benefit for customer X, customer Y, customer Z....) and take some money in hand. Qualcomm has to go a "dual vendor" strategy as long as they can.

But this collaboration could offer a unique value proposition by combining the strengths of all three parties. It would provide high-performance, energy-efficient AI processing capabilities suitable for a wide range of edge computing applications. The open nature of RISC-V, coupled with BrainChip's advanced AI technology and Qualcomm's market presence, could position this chip as a formidable competitor in the AI chip market, potentially challenging established players like ARM and x86 in certain segments.

Marketing has really work to do (carving out the individual benefits for each customer!) if they going that way..

Great response!

I agree, BrainChip has it's work cut out for it. Qualcomm is certainly a formidable competitor. Here's hoping BrainChip and Qualcomm wind up becoming partners rather than adversaries.

 

[Bravo]

Neuromorphic Computing Market worth $1,325.2 million by 2030 - Exclusive Report by MarketsandMarkets™​

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Oct 25, 2024, 10:01 ET

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DELRAY BEACH, Fla., Oct. 25, 2024 /PRNewswire/ -- The neuromorphic computing market is expected to grow from USD 28.5 million in 2024 and is estimated to reach USD 1,325.2 million by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 89.7% from 2024 to 2030 according to a new report by MarketsandMarkets™. Growth in the neuromorphic computing market is driven through the integration of neuromorphic computing in automotive and space operations. In space, where bandwidth is limited, and the communication delay might be considered large, onboard processing capabilities are crucial. The neuromorphic processor analyzes and filters data at the point of collection, reducing the need to transmit large datasets back to Earth. whereas, in automobile sector, neuromorphic processors can make autonomous driving systems more responsive by onboard real-time processing with minimal latency so that safety is ensured along with efficiency.



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Browse in-depth TOC on "Neuromorphic Computing Market"
167 – Tables
69 – Figures
256 – Pages
Neuromorphic Computing Market Report Scope:

Report Coverage	Details
Market Revenue in 2024	$ 28.5 million
Estimated Value by 2030	$ 1,325.2 million
Growth Rate	Poised to grow at a CAGR of 89.7%
Market Size Available for	2020–2030
Forecast Period	2024–2030
Forecast Units	Value (USD Million/Billion)
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered	By Offering, Deployment, Application, Sensor Fusion and Region
Geographies Covered	North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge	Matching a human's flexibility and ability to learn from unstructured stimuli data
Key Market Opportunities	Increasing adoption of neuromorphic computing solutions in healthcare sector
Key Market Drivers	Growing application of AI and ML fuelling demand for neuromorphic computing

By Offering, software segment is projected to grow at a high CAGR of neuromorphic computing market during the forecast period.
The software segment is expected to grow at a fast rate in the forecasted period. Neuromorphic software has its roots in models of neural systems. Such systems entail spiking neural networks (SNNs), that attempt to replicate the properties of biological neurons in terms of their firing patterns. In contrast to the typical artificial neural networks using continuous activation functions, SNNs utilize discrete spikes for communication, a feature that is also found in the brain. With intelligence embedded directly into the edge devices and IoT sensors, the potential for neuromorphic systems to perform even the most complex tasks such as pattern recognition and adaptive learning with considerably less power consumption remains. This efficiency stretches the lifetime of device operations while cutting down on the overall energy footprint, thus spurring demand for neuromorphic software that can harness these benefits and optimize performance for real-world edge and IoT applications.
By deployment, cloud segment will account for the highest CAGR during the forecast period.
Cloud segment will account for the high CAGR in the forecasted period. Cloud computing benefits from offering central processing power, which enables large-scale computational resources and storage capacities accessible from remote data centers. This is useful because neuromorphic computing, has been very often associated with complex algorithms and large-scale data processing. In the cloud, such huge resources can be utilized to train neuromorphic models, run large-scale simulations, and process enormous datasets. The scalable infrastructure of cloud platforms allows neuromorphic computing applications to dynamically adjust resources according to demand. It is a key factor for the training and deployment of high-scale neuromorphic networks, as their computation requirements are considerable especially during peak loads, driving its demand in the market.
Natural language processing (NLP) segment is projected to grow at a high CAGR of neuromorphic computing market during the forecast period.
Natural Language Processing (NLP) is a branch of artificial intelligence focused on giving computers the ability to understand text and spoken words in much the same way human beings can. NLP represents a promising application of neuromorphic computing, leveraging the brain- inspired design of spiking neural networks (SNNs) to enhance the efficiency and accuracy of language data processing. Low-power, high-performance solutions are required by the expanding demand for real-time efficient language processing in devices-from smartphones to IoT devices. Neuromorphic computing fits well within these requirements with its energy-efficient architecture. Progress over time with improvements in SNNs is also advancing its ability to approach complex NLP tasks, which are closer to being adapted for commercial and industrial markets. SNNs provide improved energy efficiency, demonstrated through being able to achieve up to 32x better energy efficiency during inference and 60x during training compared with traditional deep neural networks, further underlines the benefits of adding neuromorphic computing to NLP systems. Besides cost-efficiency in the field of NLP systems, such efficiency enables deploying complex language models even on devices with reduced resources. This leads to making neuromorphic NLP applications even more relevant to wider adoption and growth.
Industrial vertical in neuromorphic computing market will account for the high CAGR by 2030.
Industrial segment will account for the high CAGR in the forecasted period. In the industrial vertical, manufacturing companies use neuromorphic computing for developing and testing end products, manufacturing delicate electronic components, printing products, metal product finishing, testing of machines, and security purpose. Neuromorphic computing can be used in these processes to store the data in chips, and the images can be extracted from the devices for further use. Neuromorphic computing also helps monitor the condition of the machines by analyzing the previous signals and comparing them with current signals. These advantages lead to high demand for neuromorphic processors and software in industrial vertical.
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Asia Pacific will account for the highest CAGR during the forecast period.
The neuromorphic computing industry in Asia Pacific is expected to grow at the highest CAGR due to a high adoption rate of new technologies in this region. High economic growth, witnessed by the major countries such as China and India, is also expected to drive the growth of the neuromorphic computing market in APAC. BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), SAMSUNG (South Korea), Sony Corporation (Japan), are some of the key players providing neuromorphic hardware and software in the region. In China, Japan, South Korea, and Singapore, for instance, significant investments have been made in neuromorphic research and infrastructure. This has fostered close relationships between academia, industry, and government, facilitating major breakthroughs in machine learning, natural language processing, and robotics that have propelled the development of neuromorphic technologies.
Key Players
Key companies operating in the neuromorphic computing companies are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), among others.
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[TECH]

Good morning,

Sean is within about 3 weeks of completing his first 3 years of his proposed 5 year business plan, which as you all know was presented
and accepted by our Board.

So that tells me that things (hopefully) are starting to tighten up, meaning a number of his projects must be well circled by now creating
the domino effect we all wish to see....this IP gig is no easy walk in the park, just as ARM discovered in their early days, combined with the
disruptive element thrown into the mix.

To think that the Board isn't well aware of our current situation would be naive, they would obviously know with whom we are dealing
with, the timelines involved, but to say or think that they would be feeling totally relaxed would be, in my opinion wrong, their job is to
oversee the entire operation, challenge the CEO where they, as one voice, think things may have stalled or veered off course.

Just one shareholders views.

Tech.

 

[Bravo]

MosChip Joins Renesas RZ Partner Ecosystem to Enhance AI/ML Innovation​

By Chad Cox​

Production Editor
Embedded Computing Design
October 24, 2024

News

Image Credit: MosChip

MosChip is now an AI/ML Design Partner in the Renesas RZ Partner Ecosystem, leveraging its proficiency in AI and ML to work together with Renesas and its global network of collaborators. MosChip has developed Smart Safety with PPE Kit Detection, Patient Monitoring System, ADAS Brake Alert with Distance Monitoring, and Action Recognition with Pose Estimation based on Renesas RZ/V series MPUs with DRP-AI accelerators.​

“Becoming an AI/ML Design Partner in the Renesas RZ Partner Ecosystem underscores MosChip’s commitment to advancing innovation in the AI/ML domain and delivering cutting-edge solutions across various sectors. It is a testament to our AI/ML capabilities that facilitate the development of intelligent products/solutions meeting the challenges of tomorrow” said Swamy Irrinki, SVP, Worldwide Sales and Marketing at MosChip Technologies.

Renesas developed the RZ/V series MPUs to deliver power efficient full-scale vision AI solutions for real-time AI processing and AI inference implementation for robotics, home appliances, and industrial automation systems without cooling fans or heat sinks. Renesas’ RZ Ready is a network of formidable technology experts that deliver the foundation for Renesas RZ products and support ready-to-use solutions.

The goal of the partnership is to speed innovation and deployment of AI/ML-powered solutions that enhance applications including automotive, industrial automation, healthcare, consumer electronics, and more.

“We are happy to welcome MosChip to the Renesas Ready Partner Network,” said Kaushal Vora, Sr. Director of Business Acceleration and Ecosystem of Renesas. “With strong capabilities in AI/ ML and a host of available solutions, MosChip will bring immediate value to our developer community and help accelerate their ideas to reality.”

 

[Pom down under]

Hopefully we will see a vast improvement on the last quarterly and I can stop using napkins to wipe my face

 

[Tezza]

Hopefully we will see a vast improvement on the last quarterly and I can stop using napkins to wipe my face

View attachment 71960

Would be nice, but not sure where it will come from.

 

[manny100]

Good morning,

Sean is within about 3 weeks of completing his first 3 years of his proposed 5 year business plan, which as you all know was presented
and accepted by our Board.

So that tells me that things (hopefully) are starting to tighten up, meaning a number of his projects must be well circled by now creating
the domino effect we all wish to see....this IP gig is no easy walk in the park, just as ARM discovered in their early days, combined with the
disruptive element thrown into the mix.

To think that the Board isn't well aware of our current situation would be naive, they would obviously know with whom we are dealing
with, the timelines involved, but to say or think that they would be feeling totally relaxed would be, in my opinion wrong, their job is to
oversee the entire operation, challenge the CEO where they, as one voice, think things may have stalled or veered off course.

Just one shareholders views.

Tech.

More RISC-V momentum.See link. ARM concerned? Pressure building? https://www.techradar.com/pro/somet...ver-ai-focused-presentations-at-risc-v-summit

 

[Smoothsailing]

Would be nice, but not sure where it will come from.

Hopefully through Renesas, megachips, Arm, Intel , Sifive or Tata we should see results soon as they all have plenty of customers especially now with Pico the speed is picking up

 

[MegaportX]

MosChip Joins Renesas RZ Partner Ecosystem to Enhance AI/ML Innovation​

By Chad Cox​

Production Editor
Embedded Computing Design
October 24, 2024

News

Image Credit: MosChip

MosChip is now an AI/ML Design Partner in the Renesas RZ Partner Ecosystem, leveraging its proficiency in AI and ML to work together with Renesas and its global network of collaborators. MosChip has developed Smart Safety with PPE Kit Detection, Patient Monitoring System, ADAS Brake Alert with Distance Monitoring, and Action Recognition with Pose Estimation based on Renesas RZ/V series MPUs with DRP-AI accelerators.​

“Becoming an AI/ML Design Partner in the Renesas RZ Partner Ecosystem underscores MosChip’s commitment to advancing innovation in the AI/ML domain and delivering cutting-edge solutions across various sectors. It is a testament to our AI/ML capabilities that facilitate the development of intelligent products/solutions meeting the challenges of tomorrow” said Swamy Irrinki, SVP, Worldwide Sales and Marketing at MosChip Technologies.

Renesas developed the RZ/V series MPUs to deliver power efficient full-scale vision AI solutions for real-time AI processing and AI inference implementation for robotics, home appliances, and industrial automation systems without cooling fans or heat sinks. Renesas’ RZ Ready is a network of formidable technology experts that deliver the foundation for Renesas RZ products and support ready-to-use solutions.

The goal of the partnership is to speed innovation and deployment of AI/ML-powered solutions that enhance applications including automotive, industrial automation, healthcare, consumer electronics, and more.

“We are happy to welcome MosChip to the Renesas Ready Partner Network,” said Kaushal Vora, Sr. Director of Business Acceleration and Ecosystem of Renesas. “With strong capabilities in AI/ ML and a host of available solutions, MosChip will bring immediate value to our developer community and help accelerate their ideas to reality.”

Almost time to let the cat out of the bag Bravo .....

 

[BrainShit]

More RISC-V momentum.See link. ARM concerned? Pressure building? https://www.techradar.com/pro/somet...ver-ai-focused-presentations-at-risc-v-summit

Sounds like Google will integrate their AI into RISC-V.

Quote: "One of the definite highlights of the event was a talk from Google DeepMind’s Cliff Young and Martin Maas, who spoke on the benefits of building new AI accelerators with RISC-V. Google’s TPUs are based on the architecture, and the session covered the pair’s experiences at Google designing and deploying successful accelerators and the challenges faced along the way."

Google's Tensor Processing Units (TPUs) incorporate RISC-V cores, such as the SiFive Intelligence X280, to manage AI workloads efficiently. The flexibility and openness of the RISC-V architecture allow Google to integrate custom accelerators with these cores, enhancing performance and programmability. This approach aligns with Google's strategy to leverage existing architectures rather than developing new ones from scratch, demonstrating the potential for RISC-V in AI accelerators.

Sources: https://www.theregister.com/2022/09/23/google_using_sifive_riscv_cores/

SiFive Powers Google TPU, NASA, Tenstorrent, Renesas, Microchip, And More

RISC-V Is The Standard For non-user-facing functions.SiFive has a portfolio of CPU core IP that has had solid traction in edge, IoT, and AI Chips with significant wins from various companies such a…

www.semianalysis.com

 

[DingoBorat]

SE01 is made by Chinese company EngineA.I.

Clone's approach, is completely different.

The rapid development of humanoid robotics, is exciting and a little scary at the same time.

Consider, that all the current iterations, are only in their first or second generation..

SE01 even walks, like the cack has dried..


It's looking increasingly like Trump will be the next US President and I believe this will be good for the World and our Company.

Trump has already shown strong messaging, of making the US a leader in A.I. (and by extension, humanoid robotics, he "is" teaming with Musk).

Any A.I. or Humanoid Robotics, that is not "American made" will be strongly tariffed against (as well as the security threat of Chinese tech).

This cuts out a lot of, even the European A.I. competitive threat to us, at least in the US markets, which is the World's largest economy, because of our Company's strong US ties.

 

[DingoBorat]

SE01 is made by Chinese company EngineA.I.

Clone's approach, is completely different.

The rapid development of humanoid robotics, is exciting and a little scary at the same time.

Consider, that all the current iterations, are only in their first or second generation..

SE01 even walks, like the cack has dried..


It's looking increasingly like Trump will be the next US President and I believe this will be good for the World and our Company.

Trump has already shown strong messaging, of making the US a leader in A.I. (and by extension, humanoid robotics, he "is" teaming with Musk).

Any A.I. or Humanoid Robotics, that is not "American made" will be strongly tariffed against (as well as the security threat of Chinese tech).

This cuts out a lot of, even the European A.I. competitive threat to us, at least in the US markets, which is the World's largest economy, because of our Company's strong US ties.

The people who are sad that Trump will win, should consider the strong Democrats bias, that the media they listen to has and the lies/hate that they spread.

They should consider the fact, that many celebrities endorsing Kamala, may be ethically compromised, due to things like the "Diddy tapes".

They should consider why Tulsi Gabbard, recently became a Republican, stating that she didn't leave the Democrats, that the Party she joined, "left her".


This is what a strong female Presidential candidate looks like.

They should consider, that the Ukraine War, wouldn't have happened under Trump and for Australia at least, we wouldn't have had 13 straight interest rate rises.

They should consider the fact, that BrainChip would have landed "at least" the IP deal, who I believe was with Ericsson, before the World economic maelstrom hit, due directly to the Ukraine War.

They should also consider the fact, that the US has already had a Presidency under Trump and the World was doing a lot better, than it has the last 4 years...

Lastly, they should consider the fact, that if Trump had still been President, BRN shares would not now be at 23 cents.

 

[7für7]

I catched this article from the German forum.. don’t know if it’s a new or refreshed one… any ideas?

BrainChip Adds Temporal Networks | TechInsights

Edge-AI vendor BrainChip has updated its Akida event-based IP offering. Its new Akida 2 architecture, available only as IP, supports temporal networks and Transformer encoders at low power.

www.techinsights.com

 

[manny100]

Sounds like Google will integrate their AI into RISC-V.

Quote: "One of the definite highlights of the event was a talk from Google DeepMind’s Cliff Young and Martin Maas, who spoke on the benefits of building new AI accelerators with RISC-V. Google’s TPUs are based on the architecture, and the session covered the pair’s experiences at Google designing and deploying successful accelerators and the challenges faced along the way."

Google's Tensor Processing Units (TPUs) incorporate RISC-V cores, such as the SiFive Intelligence X280, to manage AI workloads efficiently. The flexibility and openness of the RISC-V architecture allow Google to integrate custom accelerators with these cores, enhancing performance and programmability. This approach aligns with Google's strategy to leverage existing architectures rather than developing new ones from scratch, demonstrating the potential for RISC-V in AI accelerators.

Sources: https://www.theregister.com/2022/09/23/google_using_sifive_riscv_cores/

SiFive Powers Google TPU, NASA, Tenstorrent, Renesas, Microchip, And More

RISC-V Is The Standard For non-user-facing functions.SiFive has a portfolio of CPU core IP that has had solid traction in edge, IoT, and AI Chips with significant wins from various companies such a…

www.semianalysis.com

The article is not clear as to whether the collaboration is for google products only or will be available to google competitors. I suspect it would be for google products only otherwise Qualcomm would effectively putting itself in a google straight jacket. Alternatively it may be part of a range of products by Qualcomm.
AKIDA and PICO can also be integrated with RISC-V.
Google does not have ultra low power use that PICO offers. Evidently google uses a hybrid approach for calculations both on chip and cloud.
PICO offers something different via infrequent charging.

 

[White Horse]

The people who are sad that Trump will win, should consider the strong Democrats bias, that the media they listen to has and the lies/hate that they spread.

They should consider the fact, that many celebrities endorsing Kamala, may be ethically compromised, due to things like the "Diddy tapes".

They should consider why Tulsi Gabbard, recently became a Republican, stating that she didn't leave the Democrats, that the Party she joined, "left her".


This is what a strong female Presidental candidate looks like.

They should consider, that the Ukraine War, wouldn't have happened under Trump and for Australia at least, we wouldn't have had 13 straight interest rate rises.

They should consider the fact, that BrainChip would have landed "at least" the IP deal, who I believe was with Ericsson, before the World economic maelstrom hit, due directly to the Ukraine War.

They should also consider the fact, that the US has already had a Presidency under Trump and the World was doing a lot better, than it has the last 4 years...

Lastly, they should consider the fact, that if Trump had still been President, BRN shares would not now be at 23 cents.

Sorry, Donald doesn't realize that he should have left the building. He has no control over the thought bubbles that spew out of his rambling brain farts. I think you've been watching to much Fox network.

 

[BrainShit]

The article is not clear as to whether the collaboration is for google products only or will be available to google competitors. I suspect it would be for google products only otherwise Qualcomm would effectively putting itself in a google straight jacket. Alternatively it may be part of a range of products by Qualcomm.
AKIDA and PICO can also be integrated with RISC-V.
Google does not have ultra low power use that PICO offers. Evidently google uses a hybrid approach for calculations both on chip and cloud.
PICO offers something different via infrequent

Right, we know for sure Google will provide AI in combination with RISC-V, at least for his own products / products with Googles Wear OS ... and I cross my fingers, due to the felexibility of RISC-V and our two office dogs Steven and Tony that a customer of Qualcomm like Oppo, Mobvoi... with need of our Pico features, will order mass production of RISC-V with Akida acceleration for wearables because the ARM buffet via Qualcomm is closed.

 

[GazDix]

Sorry, Donald doesn't realize that he should have left the building. He has no control over the thought bubbles that spew out of his rambling brain farts. I think you've been watching to much Fox network.

If Kamala gets elected all tech related stocks will be crushed.

Love or loathe him, Americans are not voting for just Trump but also Musk who is pro AI. On a macro level this will be good for our industry as a whole.

From my POV this is probably the most important US election of my lifetime. I have always been left leaning, but there is a rotten stink from the Democrats choosing an unnominated candidate who seems as bright as my aunt Daisy trying to string a sentence together. Agree with Dingo on his points.

Remember, the SEC in the US (like our ASIC) went after Nvidia too and are outright hostile against tech. Trump will fire Gary Genslar on his first day (well so he says). Anyway, macro rant over. If you think the US election won't affect our holdings, you are very much mistaken (at least in the short to medium run).

 

[dippY22]

If Kamala gets elected all tech related stocks will be crushed.

Love or loathe him, Americans are not voting for just Trump but also Musk who is pro AI. On a macro level this will be good for our industry as a whole.

From my POV this is probably the most important US election of my lifetime. I have always been left leaning, but there is a rotten stink from the Democrats choosing an unnominated candidate who seems as bright as my aunt Daisy trying to string a sentence together. Agree with Dingo on his points.

Remember, the SEC in the US (like our ASIC) went after Nvidia too and are outright hostile against tech. Trump will fire Gary Genslar on his first day (well so he says). Anyway, macro rant over. If you think the US election won't affect our holdings, you are very much mistaken (at least in the short to medium run).

Curious,....Are you and Dingo Borat Americans? Personally, I am not at all interested in your opinions on America's presidential election as I'm sure you could care less about mine, and would prefer you take your opinions on this matter somewhere else.

Thanks.