BRN Discussion Ongoing

wilzy123

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goodvibes

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RECOGNI https://www.recogni.com/

See Better, Farther, Faster​

Enabling ADAS to Autonomy

The World’s Most Robust Vision Inference System​

Highest Performing Perception Inference

The world’s first Peta-Op class inference solution. With this performance, we enable superhuman object detection accuracy up to 1000m in real-time under various road and environment conditions, with our ability to process multiple streams of ultra-high resolution & very high frame rate cameras.

Lowest Latency

Best-in-class Power Consumption




Vehicles of The Future: Marc Bolitho Of Recogni On The Leading Edge Technologies That Are Making Cars & Trucks Smarter, Safer, and More Sustainable​

An Interview With David Leichner​

1*iEut92MLOolAyMOsM3BOJA.jpeg

Always be willing to learn. This includes in your own job role and outside your role. Technology changes over time, so spend the effort to keep up to date.

The automotive industry has been disrupted recently with new exciting technologies that have made cars and trucks much smarter, much safer, and much more sustainable and more environmentally friendly.
What other exciting disruptive technologies will we see in the next few years? How much longer will fossil fuel powered cars be produced? When will we see fully autonomous vehicles? Can we overcome the challenge of getting stuck in traffic? As cars become “moving computers”, do we have to worry about people hacking our cars? How else will our driving experience be different over the next five years? To address these questions, Authority Magazine started a new interview series about “Exciting Leading Edge Technologies That Are Making Cars & Trucks Smarter, Safer, and More Sustainable.” In this series we are talking to leaders of automotive companies, automotive tech companies, EV companies, and other tech leaders who can talk about the vehicles of the future. As a part of this series, I had the pleasure of interviewing Marc Bolitho, CEO of
Recogni.
Marc Bolitho is the CEO of
Recogni, the leader in AI-based perception purpose-built for autonomous vehicles. He has 28 years of experience in automotive electronics. As the Senior Vice President of ZF Group, he was responsible for the ADAS business unit with $2B in annual revenue and a global team of 5000.

Thank you so much for joining us in this interview series! Before we dive in, our readers would love to “get to know you” a bit better. Can you tell us a bit about your ‘backstory’ and how you got started in the automotive industry?
From an early age, I wanted to understand how things worked and admired people that could solve problems. I made the decision early that I wanted to study engineering. I attended the University of Michigan and received my degree and started my career as a product engineer with an automotive supplier in sensor design for electronic braking and steering systems. I progressed into engineering and business leadership positions for automotive electronic safety systems covering occupant safety, braking, steering, and ADAS (Advanced Driver Assistance Systems). Today, I am CEO at Recogni, a semiconductor and software company focused on solving problems to enable autonomous mobility.
Can you share the most interesting story that happened to you since you began your career?
I have been in the industry for nearly 30 years now and have been through a few business cycles. However, the most interesting was the recent pandemic. The entire industry had to transition from in person work to remote work. At the beginning it was not clear how successful we would be at this. Fortunately, the communication tools like video conferencing were available to facilitate this. If this had happened a few years earlier, the unavailability of these tools would have hindered performance. When there are difficult times, I am always impressed that high functioning teams can accomplish more than they expected they could. This was the case in the pandemic and proved that you can run a business and product development remotely for a significant time.
Ok wonderful. Let’s now shift to the main focus of our interview. Can you tell our readers about the most interesting projects you are working on now?
I am very excited to work on overcoming barriers that the industry faces with autonomous driving. We are taming two diametrically opposing factors being high compute capability for AI processing while minimizing power consumption, effectively enhancing the driving range of electric vehicles. Our current projects are mainly centered around these pillars which are fundamental to realizing autonomous driving.
How do you think this might change the world?
This can change the world by enabling safe and sustainable autonomous driving. High compute capability allows for the full processing of the data from high resolution sensors. This allows the vehicle to detect cars and trucks at greater distance and vulnerable road users over a wide field of view. This leads to a high level of safety. Low power consumption of this processing leads to a longer driving range or less demand on the battery capacity as well as vehicle weight, minimizing the carbon footprint.
Keeping “Black Mirror” in mind, can you see any potential drawbacks of this technology that people should think more deeply about?
Two of the megatrends in the mobility industry are autonomous driving and electric vehicles. One potential drawback that the automotive industry is now comprehending is the computation capability that you need for safe autonomous driving is high. When you increase the compute, you increase the power required. This can have a significant impact on the range of electric vehicles and the carbon footprint.
Achieving driving autonomy requires technology development on many different fronts, including efficient processing, intelligent AI algorithms, and low power consumption on one side, as well as the development of high capacity, low weight batteries, and judicious, purpose-built autonomous system designs. The interdependencies of seemingly orthogonal technologies needs to be addressed to reduce or eliminate the “Black Mirror” effect.
At Recogni, the focus is on purpose-built processors for autonomous driving applications with high compute capacity, low power consumption, and very low latency. High compute capacity facilitates a fewer number of required components, feature upgradability over time, and enabling software-defined vehicles. Low power consumption significantly reduces the burden on the vehicle battery, leading to a longer range of operation and a lower carbon footprint. Low latency allows for faster vehicle reaction times, leading to a higher level of safety.
What are a few things that most excite you about the automotive industry as it is today? Why?
The automotive industry has traditionally been slow paced in development with minor evolutionary changes over time. We are now at an inflection point where OEMs are striving to bring vehicles to the market at an accelerated pace to be competitive. Given the rapid iteration cycle of tech companies — as the tech industry’s role in the development of vehicles continues to grow, innovation will propagate in the automotive industry.
I am excited to see Recogni effectively serving this major inflection point in automotive compute processing with its disruptive and purpose-built solution that resonates well with the top tier OEMs and tier ones.
What are a few things that most concern you about the automotive industry as it is today? What must be done to address these challenges?
One challenge that the industry faces is the transition to electric vehicles while increasing features on the vehicle that consume power and reduce driving range. These are not only ADAS features, but also includes AI assistant features, digital cockpit, and augmented reality.
These systems must be innovative, and purpose built for the task in the vehicle to minimize impact to range anxiety.
Based on your vantage point as an insider in the automotive industry, what other exciting disruptive technologies will we see in the next few years? Can you share some of the new developments that will make vehicles smarter, safer, and more sustainable?
Environmental awareness both outside and inside of the vehicle cabin is crucial for safety and efficient operation. We see the need for vehicle compute increase with the need for processing more environmental data, as noted earlier, in a low power profile, where there is no additional demand for battery capacity and weight.
In your opinion, how much longer will fossil fuel powered cars be produced? When do you think EVs will be the majority of vehicles in use? Can you explain?
From a mass market perspective, we see a conversion from ICE to electric vehicles year over year. In 2022 alone, while California electric passenger vehicle sales were 16%, other states had an adoption rate between 3 to 9 percent. As OEMs grow their EV offerings at various price points, we expect to see a faster conversion rate in the coming years as consumers look to purchase new models.
The time frame of EV adoption is reliant on multiple factors including consumer choices and preferences, price points, governmental policy. Currently, 6% of vehicles sold in the United States are EVs. Assuming a year over year doubling of the EV penetration rate, one could hypothesize that the majority of vehicles will be EVs within 10 years.
When do you think we will see fully autonomous vehicles deployed in a mainstream way? What do you think are the main barriers to reaching that stage?
For AVs to become commonplace, they must be able to navigate as safely as an alert driver in all weather, terrain, and lighting conditions. Existing implementations do not address the environmental sustainability issue at its core. Compute architectures are mostly general purpose and built for applications other than automotive. The key factor here is the availability of purpose-built compute solutions with low latency and low power with the capability to interface with a multitude of sensory functions.
How else will our driving experience be different over the next five years?
Going forward, vehicles will be defined by the software features that are enabled and overall user experience. This includes Advanced Driver Assistance Systems and In-Vehicle Infotainment systems. There will be an increase in the subscription model to enable these features on vehicles. To facilitate this, high performance central computing is needed that allows headroom for feature growth over time.
What are your “5 Things You Need To Create A Highly Successful Career In The Automotive Industry?

  1. Have a continuous learning mindset.
  • Always be willing to learn. This includes in your own job role and outside your role. Technology changes over time, so spend the effort to keep up to date.
  • Go outside your comfort zone.
2. Be a great team member and help to cover gaps to make projects successful.

  • Understand your role and how it interfaces with the roles around you.
  • You are successful if the team is successful.
3. Maintain optimism.

  • Always be optimistic, you and your team can always achieve more than seems possible at the beginning.
4. Focus on the customer and the end consumer.

  • Customer proximity is important to ensure you are solving the problems that are important.
  • Understand how the end consumer uses your products.
5. Identify market trends and innovate.

  • Create market scenarios and innovate to cover future market gaps.
  • Be bold and take a risk.
You are a person of great influence. If you could inspire a movement that would bring the most amount of good to the most amount of people, what would that be? You never know what your idea can trigger. :)

Outside of day-to-day work and business, there seems to be an increasing amount of divisiveness in the world. More time needs to be spent listening and finding common ground to create sustainable solutions for the future.

How can our readers further follow your work online?

You can follow me at: https://www.linkedin.com/in/marc-bolitho-2107346/ and Recogni at: https://www.linkedin.com/company/recogni/ and https://www.recogni.com/.

Thank you so much for the time you spent doing this interview. This was very inspirational, and we wish you continued success.
 
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goodvibes

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Post in thread 'BRN Discussion Ongoing'
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-186708

Sorry @Diogenese

Looks like you’ve covered this already.

It’s sounding like pigeon pie for dinner tonight.

Sorry to spoil the party @M_C
Sony is looking for neuromorphic-computing-research-intern

Spiking neural network on Neuromorphic hardware…

 
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perceptron

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Enjoyed listening to our CEO's investor podcast for the OTC market. Clear and concise. Moreover, I feel the company has direction and good leadership. Looking forward to the results of the long term strategy.
 
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IloveLamp

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Screenshot_20230415_091657_LinkedIn.jpg
 
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TechGirl

Founding Member
Good article about ARMs M85

No mention of brainchip but in the article they mention accelerators, ML etc and they mention Renesas’s working silicon as an example.

“Arm’s partners have endorsed Cortex-M85 and already announced their plans to bring their M85-based devices to the market in the next year. For example, Renesas announced that it will demonstrate the first working silicon based on Cortex-M85.”


Cortex-M85: Enabling safety and boosting flexibility and performance even higher​



Cortex_2D00_M85-blog-cover-image-new.png_2D00_900x506x2.png


Dimos Rossidis
Dimos Rossidis
March 8, 2023


7 minute read time.

Released in 2022, Arm Cortex-M85 has been the highest performing CPU in the Cortex-M portfolio. With scalar performance of more than 6 CoreMark/MHz and 3 DMIPS/MHz, Cortex-M85 has been an excellent fit for high-performance IoT, industrial control and automotive applications. At the same time, due to the implementation of the Arm Helium Technology, Cortex-M85 demonstrates significantly higher machine learning (ML) and digital signal processing (DSP) capabilities than Cortex-M7. These benefits make Cortex-M85 a very powerful core for microcontroller (MCU) applications where compute performance is key.

The deterministic operation (due to the Tightly Coupled Memories – TCMs) combined with the high compute capabilities make Cortex-M85 an ideal CPU choice for applications where intelligence is being increasingly pushed to the edge. The processor can enable endpoint devices to not only sense and collect data, but also perform a significant amount of computation, and even execute sophisticated ML algorithms on the CPU within a predictable time frame.

There is also a rising demand for this high performance to address new workloads, and be deployed in safety critical applications where the IP needs to be capable of managing and detecting any faults.

This is why we are delighted to announce that at the end of 2022, Arm released Cortex-M85 revision 1. Cortex-M85 r1 introduces the following:
  • Important functional safety features. The functional safety support helps in achieving both ASIL D/SIL 3 and, with lower hardware overhead, ASIL B/SIL2 safety requirements.
  • The implementation of Arm Custom Instructions (ACI). ACI is a key feature that increases software flexibility by allowing user-defined instructions, and can also boost performance even higher by enabling accelerators that are tightly coupled with the datapath of the processor.
  • Improved streaming performance, which is very important for workloads making increased memory accesses.

Cortex-M85: The first safety ready high-performing Cortex-M​

Automotive and industrial control products rely on safety standards, which ensure that each individual electrical or electronic component integrated into the product meet functional safety requirements. Arm’s Safety Readyportfolio is based on the ISO 26262 (for automotive) / IEC 61508 (for industrial) safety standards. ISO 26262 / IEC 61508 are risk-based standards that aim to address potential hazards caused by the malfunction of these systems. They provide frameworks and guidelines that should be followed during the development of a system and determine Automotive Safety Integrity Level (ASIL) / Safety Integrity Level (SIL) based on a risk assessment analysis.

In the automotive industry, Cortex-M85 can be used for diverse applications with varying safety needs. Some applications demand ASIL D for the highest safety integrity levels. One example are the high torque traction motors, where the significant growth in vehicle electrification has led to demand for more actuation across the vehicle. Other applications demand a lower safety integrity level, such as ASIL B. This is the case for vehicle cockpit displays incorporating cluster information.
 Arm Safety Ready logo

Safety Ready logo
Cortex-M85 r1 is equipped with multiple safety features to address these varying safety needs. To meet the demands of ASIL D single point fault detection, Cortex-M85 can be implemented as a Dual Core Lockstep (DCLS) pair of processors, with one copy of the logic used to detect faults in the other. Although a DCLS configured Cortex-M85 can be deployed to achieve the diagnostic coverage needed for lower safety levels, the processor also supports mechanisms where this can be achieved with greater power and area efficiency. This is done through a combination of self-test functions and the ability of the Cortex-M85 r1 to detect Transient Faults. Self-testing through the use of Arm Software Test Libraries (STLs) can be used to detect permanent faults in the logic by periodically and flexibly executing the STLs on the processor. The flops in the design can be protected with the Transient Fault Protection (TFP) feature, which is able to identify a single bit fault in groups of flops. The cache memories are protected against faults with Error Correcting Code (ECC) providing Single Error Correction Double Error Detection (SECDED). In combination, these mechanisms can help deliver a more efficient solution for applications with ASIL B requirements.

Furthermore, Cortex-M85 r1 provides hardware which enables the in-field and on-line testing of the internal processor memories with Memory Built-in Self-Test (MBIST). A software Programmable MBIST Controller (PMC) can be integrated into the design to access, exercise, and test these memories while the processor continues to execute. Protection is also offered to transactions into and out of the processor by using interface protection. This is an extension to Arm’s Advanced Microcontroller Bus Architecture (AMBA) protocol and guards the transactions with parity protection against undetected corruption in the transaction between the core and the receiving interface, like the interconnect.

Arm has performed safety assessments on many of our Cortex-M processors using independent third-party assessors that issue certificates for the IP. Cortex-M85 will follow this same path. It has a safety package which provides information and evidence for partners to use in the development of products with safety requirements. For Cortex-M85, this planned assessment will evaluate both its systematic development and diagnostic capabilities for ASIL D and ASIL B.

Boosting flexibility and performance with Arm Custom Instructions​

The compute and processing requirements in recent embedded systems have increased significantly. This is especially true in the IoT space where the market is pushing the compute requirements to the endpoint devices (such as smart sensors/cameras, agricultural drones, etc.) of the IoT system.

The continuous need for higher processing capabilities results in the implementation of high performing processors, like Cortex-M85. At the same time, this raises the need for custom hardware accelerators, and the necessity for easy integration to the existing CPU. Accelerators are treated as memory-mapped IPs, through an internal coprocessor interface. Legacy Cortex-M CPUs, like Cortex-M33, implement such an interface, allowing the hardware accelerators to be closely integrated to the processor, and reducing the latency in data and instruction transfers. However, some applications require the execution of specialized data processing functions on the CPU, so that they can operate directly on general-purpose registers.

This need is addressed through Arm Custom Instructions (ACI), with Cortex-M85 – alongside Cortex-M55 – also implementing this feature. ACI allows chip designers to include custom defined data processing instructions directly on the Cortex-M processor, and enables the users to implement their own instructions by using the existing Cortex-M85 hardware.
Diagram showing how ACI help to meet the requirements for acceleration

Diagram showing how ACI combines with Cortex-M85 to meet the requirements for acceleration

Moreover, with ACI on Cortex-M85, the user does not have to turn to alternative architectures to implement a desired instruction encoding. Instead, this can now be done on CPUs that are based on the Arm architecture, with Cortex-M85 being the first high-performing microcontroller to provide this option. Through ACI, the user is given the power to innovate within the proven Arm architecture, while maintaining the ecosystem advantages of the Cortex-M CPUs.

All of the above makes ACI a powerful feature, as it provides a performance boost for low-latency instructions, easy integration with an existing software ecosystem and scalability across Cortex-M processors. ACI is the perfect fit for applications using specialized bit field processing, trigonometric functions, and image pixel manipulations. It can also be applied to accelerate frequently used data processing functions.

Upgraded streaming performance​

Cortex-M85 r1 has an enhanced datapath to deliver significantly higher streaming performance compared to the legacy Cortex-M processors. Specifically, Cortex-M85 r1 delivers about 2x higher streaming performance than Cortex-M55 and Cortex-M7 using LMbench. This enhancement is very important for any workload that requires continuous memory access across the AXI interface. For example, large footprint code that requires external memory access.

Cortex-M85 based products to be brought in the market soon​

Arm’s partners have endorsed Cortex-M85 and already announced their plans to bring their M85-based devices to the market in the next year. For example, Renesas announced that it will demonstrate the first working silicon based on Cortex-M85.

Through Cortex-M85 r1, Arm partners can now use all the enhanced features for improved performance and safety, and apply them in the IoT, automotive and industrial markets through their next-generation MCU products.

For more information, visit the Cortex-M85 page below.
 
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Cardpro

Regular
I will agree that the time lines have changed.

But let's step back to 2021.
1. Revenue projected in late 2022.
2. Breakeven 2023.

Now what kinda activity and partnerships did we have in 2021?

Was Akida being advertised or marked as a great product back in 2021 by partners and universities?

Now let's look April 2023.
1. Revenue projections pushed to back end 2023 maybe early 2024
2. Breakeven not sure yet rather.

We do have a lot of partnerships now with we all know who.

We are busy hitting marks and adding new partnerships.

Universities are studying SNN.

IP purchaser will be taping our IP on chip.
We have increase the range of our products.

Lets not kid our selves we have come a long way from 2021.

Yes one final part revenue is missing i will agree.

Have they moved goal posts and timelines yes.

Will we have revenue in the next 12 months yes.

Are there lots of possible products in the works that have Akida yes.

We are comercial yes but the uptake has not yet begun.

There is a whole cycle that need to happen to bring comercial product on that I believe many of us have underestimated the time.

Believe me I thought I would have been sipping drinks full time by now in 2020 but it's been a long road long road.

I Will add in that I think when Management increased the LDA draw back in the day they knew the timeline changed. Will they announce the delays no nobody does let's be honest about that.

Are the delays a result of BRN staff the awnser is no. My understanding is they meet there deadlines on development pretty well.

Are there delays in their customer base or up take yes. Why? Well these people run businesses and they need to be fiscally responsible minimize risk. There are So many challenges in the world post covid shortages and delays that these companies need to keep there owners happy and making a healthy profit. So development of new innovative risky investment are not always a priority.

Once some adopt Akida there will be a rush by others it's the first few contracts that take time.

So laying blame on management sales is not actually solving anything.

As it stand as investors responsible for our own actions we have to options:

1. Buy stock
2. Sell stock

This is what is in our control.

If you feel that BRN will not meet exceed it's old highs or you have belief of better returns elsewhere you know what you have to do. If your angry about buying higher trapped you need to looknat why you bought when you bought and say why i paid 1.70 a share i was thinking we would get to 10. But now the timline does not suit your strategies you need to fix that come up with options to correct things.

If you feel we are under valued THEN YOU to know what to do.

Sticking around complaining complaining so never solve your dilemma. Those that have been complaining on HC regarding BRN being a poor investment for 2 plus years you need to really think about thier motive. Who will for 2 years keep telling you to sell it's crap. Believe me they don't care about your welfare.

The reason there is so much less action and dialog is cause the long term investor is studing their market reading the thousands of articles on SNN and Akida referanced articles. We did not have this vast number of leads and reports to go though in 2021 or 2022 for the greater part. Things are building.

Your watching the AI revolution AIOT start. This is how a company is built not with Yatchs Parties and all the stuff you see on TV. Through hard work network and a bit of luck.
What pisses me off most is that they never admit they missed their target... tbh given this an extremely advanced technology in a new field and given they got so much things done (joining eco systems & forming partnerships, etc.), it's totally understandable that they didnt meet the timeline or revenue target...but they need to acknowledge what has happened and move on and provide a new target... I am so worried that it may repeat brain studio, accelerator, etc. back in 2015
 
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D

Deleted member 118

Guest
I will agree that the time lines have changed.

But let's step back to 2021.
1. Revenue projected in late 2022.
2. Breakeven 2023.

Now what kinda activity and partnerships did we have in 2021?

Was Akida being advertised or marked as a great product back in 2021 by partners and universities?

Now let's look April 2023.
1. Revenue projections pushed to back end 2023 maybe early 2024
2. Breakeven not sure yet rather.

We do have a lot of partnerships now with we all know who.

We are busy hitting marks and adding new partnerships.

Universities are studying SNN.

IP purchaser will be taping our IP on chip.
We have increase the range of our products.

Lets not kid our selves we have come a long way from 2021.

Yes one final part revenue is missing i will agree.

Have they moved goal posts and timelines yes.

Will we have revenue in the next 12 months yes.

Are there lots of possible products in the works that have Akida yes.

We are comercial yes but the uptake has not yet begun.

There is a whole cycle that need to happen to bring comercial product on that I believe many of us have underestimated the time.

Believe me I thought I would have been sipping drinks full time by now in 2020 but it's been a long road long road.

I Will add in that I think when Management increased the LDA draw back in the day they knew the timeline changed. Will they announce the delays no nobody does let's be honest about that.

Are the delays a result of BRN staff the awnser is no. My understanding is they meet there deadlines on development pretty well.

Are there delays in their customer base or up take yes. Why? Well these people run businesses and they need to be fiscally responsible minimize risk. There are So many challenges in the world post covid shortages and delays that these companies need to keep there owners happy and making a healthy profit. So development of new innovative risky investment are not always a priority.

Once some adopt Akida there will be a rush by others it's the first few contracts that take time.

So laying blame on management sales is not actually solving anything.

As it stand as investors responsible for our own actions we have to options:

1. Buy stock
2. Sell stock

This is what is in our control.

If you feel that BRN will not meet exceed it's old highs or you have belief of better returns elsewhere you know what you have to do. If your angry about buying higher trapped you need to looknat why you bought when you bought and say why i paid 1.70 a share i was thinking we would get to 10. But now the timline does not suit your strategies you need to fix that come up with options to correct things.

If you feel we are under valued THEN YOU to know what to do.

Sticking around complaining complaining so never solve your dilemma. Those that have been complaining on HC regarding BRN being a poor investment for 2 plus years you need to really think about thier motive. Who will for 2 years keep telling you to sell it's crap. Believe me they don't care about your welfare.

The reason there is so much less action and dialog is cause the long term investor is studing their market reading the thousands of articles on SNN and Akida referanced articles. We did not have this vast number of leads and reports to go though in 2021 or 2022 for the greater part. Things are building.

Your watching the AI revolution AIOT start. This is how a company is built not with Yatchs Parties and all the stuff you see on TV. Through hard work network and a bit of luck.
I for one and probably the only 1, am more than happy with the timeline for revenue not expecting until late 23 early 24 as I was unable to add to my holdings until recently and will accumulate like mad now.

 
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Deleted member 1270

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A big thanks to Evermont for summarizing the presentation.
I agree with Foxdog. This presentation showed that communication with shareholders and the public in general was far from good in the past.
It's almost certain that we can not expect any significant revenue this year.
This means that revenue will start to kick in 2 years after what was forecasted, at best.

To all the people defending the management. Please stop ignoring the red flags that are blatantly obvious to anyone and ask critical questions at the AGM. Saying that the AKD1000 was never intended to be a revenue stream. It boils my blood to put it lightly.
That's my request to all Australian holders who will attend the AGM this year.
Please don't be in denial. Face that the management failed to communicate, failed to fulfill their promises and that most if not all revenue-related predictions were hollow words.
Well said. As a competition to all on this site.. humour me and try and find the presentation that Sean gave a couple of days ago.
 
D

Deleted member 1270

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I for one and probably the only 1, am more than happy with the timeline for revenue not expecting until late 23 early 24 as I was unable to add to my holdings until recently and will accumulate like mad now.


So you're really saying that we shouldn't believe anything management state regarding the timeline to revenue and we should take comfort that you are happy to wait until 2024 for revenue?
 
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Well said. As a competition to all on this site.. humour me and try and find the presentation that Sean gave a couple of days ago.
It’s been posted 4 times now; and is on the previous page. Wiltzy posted it last.
 
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Deleted member 1270

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It’s been posted 4 times now; and is on the previous page. Wiltzy posted it last.
Link to the companies website please. Then you get the prize!

The point I am trying to make is why should I have to go and search the internet for a company presentation? I should be able to easily locate it shouldn't I?

p.s. I have the presentation as I listened to it live.
 
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Normal companies run by competent boards release information to shareholders. Not the case here. We have to join dots.

I'm sick of being misled by this company. They will soon realise that omitting to communicate with shareholders and to pass on price sensitive news like dispelling myths about associations with companies that perhaps aren't true can be construed as misleading and ASX takes a dim view on this.

For example the recent Tata tweet associating BRN with Tata. Am I meant to draw my own conclusions on this and make a decision to buy/hold or sell decision based on a tweet?

Disgraceful company behaviour.
I don’t think Brainchip can be responsible for what employees of other companies are putting on the internet.
 
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Deleted member 1270

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This forum is really slipping again due to the negative nellys.

Some people really aren’t mentally prepared to hold shares in a speculative company. Which Brainchip still is - it’s entry into the ASX200 was premature and due to a great plug by Mercedes. But Brainchip is a speccy.

Where anyone “feels” like Brainchip should be by now is irrelevant. It always goes back to having a plan. Take responsibility for your own investment. Whining here does nothing and the same whingers rarely contribute anything beneficial.

Why pay a membership for this forum, I can get whinging for free from the Mrs.
Don't you feel though that we should expect honest and timely information about the company we own, from management?

Even though it is a speccy it is clear that the flow of information from the company is disappointing to say the least.
 
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Kachoo

Regular
What pisses me off most is that they never admit they missed their target... tbh given this an extremely advanced technology in a new field and given they got so much things done (joining eco systems & forming partnerships, etc.), it's totally understandable that they didnt meet the timeline or revenue target...but they need to acknowledge what has happened and move on and provide a new target... I am so worried that it may repeat brain studio, accelerator, etc. back in 2015
I don't know what you do for a living but nobody admits to short falls in industry.

But you do have the right to be upset.

Being the studio? Well if you invested then what kind of media coverage and activity did you see out side of BRN about Studio? I was not a share holder so I don't know.

Putting new targets can be tricky on having new contracts. You can forecast current contracts but new ones are really unknown. This will lead to more issues best leave it out. Zacks put revenue to be 11 million for 2023 have a read on that. Is this slow yeah but that's out of our control.

Yeah some stuff was said that may not have been said well it happened and people move on.

In the end this is what needs to be know.

Is our technology great if yes how much money will we make over the next 2 decades.

It was also stated years ago how much new inventions can be made with what Akida can do.
 
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Kachoo

Regular
Normal companies run by competent boards release information to shareholders. Not the case here. We have to join dots.

I'm sick of being misled by this company. They will soon realise that omitting to communicate with shareholders and to pass on price sensitive news like dispelling myths about associations with companies that perhaps aren't true can be construed as misleading and ASX takes a dim view on this.

For example the recent Tata tweet associating BRN with Tata. Am I meant to draw my own conclusions on this and make a decision to buy/hold or sell decision based on a tweet?

Disgraceful company behaviour.
What did that tweet actually say. I see many tweets that competing companies congratulate others for accomplishments? So it's really hard to know what your implying?
 
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The guy works for Brainchip.

I’m not sure which article you are referring to. I have read numerous papers from TATA employees testing and referring to SNN’s and Brainchip therefore I though it was one of their papers you were talking about.

Not sure what your agenda is this morning. It’s obvious by you’re tone you’re unhappy with the company. I hope venting on here makes you feel better.

Usually if for example I go to a restaurant and I don’t like the food I simply don’t go back. I’m not one to return and try and tell the staff how to do their job. Apart from it not being my personality type I appreciate I’m not qualified to do so.

I found your comment earlier to imply the board are incompetent quite distasteful.
Personally I am very pleased with the boards composition. I’d rather we be paying less at this stage for them, or having it KPI based when we aren’t profitable, however I accept to hire top quality people we need to pay top dollar. The board and staff have extensive experience and are highly respected within the industry.

I hope you can add value to the forum in the future.

:)
 
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