BRN Discussion Ongoing

[manny100]

Bing threw a nice little article at me.
Basically explains in layman's terms why processing will begin to move away from the Cloud and on to the Device.
Link below.

Will super chips disrupt the ‘everything to the cloud’ IT mentality?

It's no secret that enterprise IT in recent years has been disappointed in corporate clouds. But in general they've not done anything about it. That could soon change.

www.computerworld.com

 

[DingoBorat]

Thanks Damo,

I think the patents for TeNNs have increased the value of BRN's patent portfolio by an order of magnitude.

WO2023250092A1 METHOD AND SYSTEM FOR PROCESSING EVENT-BASED DATA IN EVENT-BASED SPATIOTEMPORAL NEURAL NETWORKS 20220622

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORK 20220622
...
[0005] Currently, most of the accessible data is available in spatiotemporal formats. To use the spatiotemporal forms of data effectively in machine learning applications, it is essential to design a lightweight network that can efficiently learn spatial and temporal features and correlations from data. At present, the convolutional neural network (CNN) is considered the prevailing standard for spatial networks, while the recurrent neural network (RNN) equipped with nonlinear gating mechanisms, such as long short-term memory (LSTM) and gated recurrent unit (GRU), is being preferred for temporal networks.

[0006] The CNNs are capable of learning crucial spatial correlations or features in spatial data, such as images or video frames, and gradually abstracting the learned spatial correlations or features into more complex features as the spatial data is processed layer by layer. These CNNs have become the predominant choice for image classification and related tasks over the past decade. This is primarily due to the efficiency in extracting spatial correlations from static input images and mapping them into their appropriate classifications with the fundamental engines of deep learning like gradient descent and backpropagation paring up together. This results in state-of-the-art accuracy for the CNNs. However, many modem Machine Learning (ML) workflows increasingly utilize data that come in spatiotemporal forms, such as natural language processing (NLP) and object detection from video streams. The CNN models used for image classification lack the power to effectively use temporal data present in these application inputs. Importantly, CNNs fail to provide flexibility to encode and process temporal data efficiently. Thus, there is a need to provide flexibility to artificial neurons to encode and process temporal data efficiently.

[0007] Recently different methods to incorporate temporal or sequential data, including temporal convolution and internal state approaches have been explored. When temporal processing is a requirement, for example in NLP or sequence prediction problems, the RNNs such as long short-term memory (LSTM) and gated recurrent memory (GRU) models are utilized. Further, according to another conventional method, a 2D spatial convolution combined with state-based RNNs such as LSTMs or GRUs to process temporal information components using models such as ConvLSTM have been used. However, each of these conventional approaches comes with significant drawbacks. For example, while combining 2D spatial convolutions with ID temporal convolutions requires large amount of parameters due to temporal dimension and is thus not appropriate for efficient low-power inference.

[0008] One of the main challenges with the RNNs is the involvement of excessive nonlinear operations at each time step, that leads to two significant drawbacks. Firstly, these nonlinearities force the network to be sequential in time i.e., making the RNNs difficult for efficiently leveraging parallel processing during training. Secondly, since the applied nonlinearities are ad-hoc in nature and lack a theoretical guarantee of stability, it is challenging to train the RNNs or perform inference over long sequences of time series data. These limitations also apply to models, for example, ConvLSTM models as discussed in the above paragraphs, that combine 2D spatial convolution with RNNs to process the sequential and temporal data.
...
[0012] According to an embodiment of the present disclosure, disclosed herein is a neural network system that includes an input interface, a memory including a plurality of temporal and spatial layers, and a processor. The input interface is configured to receive sequential data that includes temporal data sequences. The memory is configured to store a plurality of group of first temporal kernel values, a first plurality of First-In-FirstOut (FIFO) buffers corresponding to a current temporal layer. The memory further implements a neural network that includes a first plurality of neurons for the current temporal layer, a corresponding group among the plurality of groups of the first temporal kernel values is associated with each connection of a corresponding neuron of the first plurality of neurons. The processor is configured to allocate the first plurality of FIFO buffers to a first group of neurons among the first plurality of neurons. The processor is then configured to receive a first temporal sequence of the corresponding temporal data sequences into the first plurality of FIFO buffers allocated to the first group of neurons from corresponding temporal data sequences over a first time window. Thereafter, the processor is configured to perform, for each connection of a corresponding neuron of the first group of neurons, a first dot product of the first temporal sequence of the corresponding temporal data sequences within a corresponding FIFO buffer of first plurality of FIFO buffers with a corresponding temporal kernel value among the corresponding group of the first temporal kernel values. The corresponding temporal kernel values are associated with a corresponding connection of the corresponding neuron of the first group of neurons. The processor is then further configured to determine a corresponding potential value for the corresponding neurons of the first group of neurons based on the performed first dot product and then generates a first output response based on the determined corresponding potential values. ...

"a first dot product of the first temporal sequence of the corresponding temporal data sequences within a corresponding FIFO buffer of first plurality of FIFO buffers with a corresponding temporal kernel value"

So that's a good thing right?

No no, don't try to explain it to me, just happy you thought that part was worth highlighting

 

[Newk R]

Ahh c'mon Tech, it's pretty clear investors here, need to be spoon fed

View attachment 54506

It's got AKIDA, written all over it.
Who are these Tata Elxsi guys anyway ..

Who are these Tata Elxsi guys anyway?????

They are the WATTEGAs of course

 

[DingoBorat]

Looks like AKIDA but one of the features is that it is Cloud agnostic so it still uses the cloud - any cloud.

"Cloud agnostic Application software" - Definition of Cloud agnostic from bing - " Cloud Agnostic: Cloud agnostic is a relatively new approach to cloud strategies that eschew rooting services in particular infrastructure or provider and instead looks for ways to deploy systems that don’t rely on a single environment, infrastructure, or provider to function."
According to Bing:
AKIDA is all about Processing on chip and avoiding a trip to the cloud is called edge computing or edge AI. It is a paradigm that enables data processing and AI inference on the device itself, rather than relying on a remote cloud server. This can improve latency, bandwidth, privacy, and security of the applications12.
So we are really looking for features that talk about edge computing or edge AI rather than Cloud Agnostic.
When Tata adopt AKIDA it really will be a big step forward for them.

"So we are really looking for features that talk about edge computing or edge AI rather than Cloud Agnostic"

But it does talk about "edge compute" and "continuous learning"?

Still having access to the cloud, doesn't exclude us, it depends on what that cloud access is for.

We've partnered with Tata Elxsi, for the purpose of incorporating our tech, so I think it's pretty black and white ..

 

[DingoBorat]

Who are these Tata Elxsi guys anyway?????

They are the WATTEGAs of course

... I don't get it ..

 

[manny100]

"So we are really looking for features that talk about edge computing or edge AI rather than Cloud Agnostic"

But it does talk about "edge compute" and "continuous learning"?

Still having access to the cloud, doesn't exclude us, it depends on what that cloud access is for.

We've partnered with Tata Elxsi, for the purpose of incorporating our tech, so I think it's pretty black and white ..

Yep, that is very possible. Hybrid chips using both the chip itself with some cloud interaction will likely be very popular, eg chip for safety EV features and cloud for road and weather condition updates all to be processed on that chip.
My knowledge is limited mainly to 'big picture' moves to the Edge but i wonder whether it may be a bit early for Tata to be that advanced with AKIDA and would possibly more likely to be still deep in the design stage? Hope it is AKIDA though.
Tata have said they will use AKIDA and i have no doubt this will be very profitable for us.

 

[Space Cadet]

Hi All
I am loath to bother stating the obvious because it will be attacked and lies will be spread far and wide for reasons that others need to judge but what the heck:

Fact 1: Mercedes Benz with a $72 billion market cap in a magazine article is reported as saying at CES 2022 that it is working with Brainchip trialling AKIDA technology in a concept vehicle not intended for production and makes some positive comments. Before these magazine reports can be verified the share price commences to rise terminating at $2.34 before commencing to fall.

Fact 2: OnSemi, Microchip and Infineon with a combined $122.10 billion market cap undertake joint demonstrations of their respective technologies working with Brainchip AKIDA technology at CES 2023 for a range of mass consumption use cases not concepts and company representatives of each come on publicly released Brainchip podcasts and go on record permanently confirming they are actually partnered for these demonstrations and speak highly of the individual outcomes and the Brainchip share price drops to 16 cents.

My opinion only so DYOR but the logic of the above is difficult to understand.
Fact Finder

Good point FF. My view is majority out there wouldn't even know who those companies were. Not sexy enough, plus a little fatigue, shorting, you know the usual stuff. It may take a while as partnering to production of product takes a while. I think initially we would get a bigger rise from NASA saying Akida is going to the moon which makes us $5M than we would the other 3 making us $50M. Until the financials tell the full story then really game on. Who knows when the big news comes that gives us momentum. 2 Months or 12 Months?

SC

 

[David holland]

Good point FF. My view is majority out there wouldn't even know who those companies were. Not sexy enough, plus a little fatigue, shorting, you know the usual stuff. It may take a while as partnering to production of product takes a while. I think initially we would get a bigger rise from NASA saying Akida is going to the moon which makes us $5M than we would the other 3 making us $50M. Until the financials tell the full story then really game on. Who knows when the big news comes that gives us momentum. 2 Months or 12 Months?

SC

Management have stated on many occasions, WATCH THE FINANCIALS

 

[Boab]

Small box, self contained and thermally efficient - power and size is always a factor.
Very scalable too, excited about huge growth in 2024.

Chapeau Nandan, what a fabulous job he has done with all these short podcasts.

 

[Bravo]

HOME
Publication Name: Timestech.in
Date: December 14, 2023

Medical Electronics Pioneering Healthcare in 2024​

In 2024, medical electronics stands at the forefront of healthcare transformation, driving advancements in patient care, remote monitoring, and medical research. Wearable devices, smart implants, and sophisticated monitoring systems are revolutionizing healthcare delivery through real-time data analysis. The integration of Al and machine learning enhances personalized treatment plans, shifting towards proactive healthcare. Telemedicine platforms supported by robust medical electronics bridge healthcare gaps in remote areas. However, challenges like privacy, data security, and interoperability must be addressed. Collaboration among stakeholders is crucial to responsibly deploy these technologies, ensuring improved patient outcomes and reshaping the future of healthcare.

Advancements Shaping Medical Electronics in 2024​

Smart Wearables Revolution: The Smart Wearables Revolution is sweeping across India, poised for a remarkable trajectory with a projected Compound Annual Growth Rate (CAGR) of 24% from 2023 to 2027. Abhimanyu Roy, Executive Director at Avalon Consulting, underlines the pivotal role of wearables in this surge. This growth is fueled by factors like the burgeoning internet penetration, heightened consumer awareness, and evolving lifestyles. As Roy asserts, "Wearable devices are becoming integral to healthcare, offering real-time health metrics and contributing to the adoption of the latest technology." The expanding landscape of smart wearables reflects a shift towards proactive health management. These devices go beyond conventional fitness tracking, now playing a crucial role in continuous health monitoring and personalized healthcare solutions. The growing emphasis on preventative healthcare aligns with the changing mindset of consumers who are increasingly valuing proactive well-being measures.
Abhimanyu Roy points out that this integration of wearables into the healthcare ecosystem is a transformative leap, creating a symbiotic relationship between technology and well-being. Real-time health metrics empower individuals to make informed decisions about their health, fostering a culture of health consciousness. As internet accessibility continues to broaden its reach, the smart wearables market becomes an accessible and indispensable companion for individuals navigating their health and fitness journeys.
The adoption of the latest technology in healthcare, as facilitated by wearables, marks a paradigm shift in how individuals perceive and manage their well-being. The confluence of technology and healthcare not only provides individuals with valuable insights into their health but also contributes to a more proactive and personalized approach to healthcare. Abhimanyu Roy's insights illuminate the transformative journey of wearables, shaping a future where technology becomes synonymous with holistic health.
Remote Surgeries and Emergency Services: The transformative power of 5G technology extends beyond its impact on communication and entertainment, delving into the critical spheres of healthcare and emergency services. Remote surgeries, facilitated by the ultra-low latency of 5G networks, mark a revolutionary leap in medical procedures. Surgeons can now operate on patients situated miles away with unprecedented precision and real-time responsiveness, overcoming geographical constraints. This not only enhances access to specialized medical expertise but also allows for timely interventions in emergency situations.
In parallel, the integration of artificial intelligence (Al) and machine learning (ML) in ambulance management is optimizing emergency services. Initiatives like Ambupod exemplify this convergence of technology and healthcare, leveraging sensor-based technology to enhance the efficiency of ambulance operations. Abhimanyu Roy rightly emphasizes, "5G availability is unlocking the potential for remote surgeries, ensuring efficient emergency services through digitized ambulance management." This synergy of cutting-edge technology and healthcare is ushering in an era where swift, lifesaving interventions are not bound by physical proximity, redefining the landscape of medical care and emergency response.
Al-powered Healthcare Delivery: Rakesh Pandey, Delivery Head - Product Engineering, Healthcare and Life Sciences, Tata Elxsi, emphasizes the revolutionary integration of Al in medical electronics.
According to Rakesh, "Al-powered loT solutions will optimize healthcare delivery by enabling real-time health tracking, proactive interventions, and reducing hospital visits through remote patient monitoring." This groundbreaking convergence of Al and loT is proving to be instrumental in transforming patient care and outcomes.
The marriage of artificial intelligence and medical electronics is ushering in a new era of healthcare delivery. The implementation of Al-powered solutions is reshaping the very fabric of patient care, ensuring not only real-time tracking but also facilitating proactive interventions that significantly enhance overall patient outcomes. This technological synergy is a game-changer, providing healthcare professionals with unprecedented insights and tools to deliver personalized, efficient, and timely interventions.
Rakesh Pandey underscores the pivotal role played by Al in reshaping the healthcare landscape. "Al-powered solutions are reshaping healthcare delivery, ensuring real-time tracking and interventions for improved patient outcomes," affirms Rakesh. The transformative impact of this integration is evident in its ability to empower healthcare providers with data-driven insights, facilitating a proactive approach that minimizes the need for traditional hospital visits. As we witness the confluence of Al and loT in healthcare, the promise of a more patient-centric, efficient, and accessible healthcare system becomes increasingly tangible.
Nanomedicine Breakthroughs: Nanomedicine stands at the forefront of revolutionary advancements in medical science, holding the promise of transforming the landscape of treatment methodologies. Spearheaded by innovations in nanotechnology, this cutting-edge field offers unprecedented precision in targeting diseased cells, presenting a paradigm shift in medical research and patient care. "Nanomedicine is a game-changer, offering enhanced precision in treatment and imaging, ushering in a new era of medical research." One of its groundbreaking applications lies in imaging techniques, where nanoscale materials enable unparalleled resolution, facilitating early and accurate diagnosis. This not only enhances the efficacy of medical imaging but also opens new avenues for understanding diseases at a molecular level. Furthermore, nanomedicine showcases remarkable potential in drug delivery systems, mitigating treatment side effects by precisely targeting affected areas. The ability to tailor drug release at a cellular level holds the key to minimizing collateral damage to healthy tissues, a long-standing challenge in conventional therapies.
Rakesh Pandey, a prominent voice in the field, emphasizes the transformative impact of nanomedicine on medical research and treatment precision. The convergence of nanotechnology with medicine not only expands the horizons of therapeutic interventions but also instills hope for a future where diseases can be addressed with unparalleled accuracy. As we stand on the cusp of this nanomedical revolution, the prospect of refining treatment modalities and advancing patient outcomes looms large, marking a pivotal moment in the trajectory of healthcare innovation.
lmmersive Technologies in Medical Training: "lmmersive technologies are reshaping medical training, providing realistic simulations and comprehensive visualizations for enhanced learning." - Rakesh Pandey
In the dynamic landscape of medical education, augmented reality (AR) and virtual reality (VR) have emerged as transformative tools. These technologies go beyond traditional teaching methods, offering immersive experiences that engage healthcare professionals and students alike. The integration of AR/VR allows medical practitioners to delve into lifelike scenarios, replicating surgeries, patient interactions, and complex procedures in a risk-free environment. This not only sharpens practical skills but also fosters better decision making under various circumstances.
Moreover, these technologies bridge geographical gaps in education, enabling remote learners to access cutting-edge training modules. The ability to visualize intricate anatomical structures and medical processes in 30 enhances comprehension and retention, accelerating the learning curve. The gamification elements within AR/VR applications add an element of interactivity, making learning more enjoyable and effective.
The immersive nature of these technologies facilitates a deeper understanding of patient experiences, promoting empathy among healthcare professionals. By simulating diverse medical scenarios, AR/VR instills confidence in practitioners, ensuring they are well-prepared for real-world challenges. As the healthcare industry embraces innovation, the impact of AR/VR on medical education is poised to revolutionize the way future generations of medical professionals are trained.

Contributions to Heathcare and Challenges Ahead:​

Remote Monitoring and Telemedicine: The integration of medical electronics, specifically wearables and remote monitoring equipment, has ushered in a new era of patient care. These technologies play a pivotal role in enhancing accessibility, especially in remote areas where traditional healthcare services may be limited. The advent of telemedicine platforms further amplifies this impact, offering virtual consultations that bridge the gap between patients and healthcare providers.
As we navigate this transformative landscape, it is essential to acknowledge the words of Abhimanyu Roy: "Telemedicine and remote monitoring are transforming healthcare accessibility, but challenges like data security and interoperability must be addressed." While these advancements hold immense promise, certain hurdles threaten their sustained success. Key challenges include ensuring robust data security measures to safeguard sensitive patient information, fostering device interoperability for seamless integration into existing healthcare ecosystems, and establishing standardized communication protocols to enhance overall system efficiency.
Tackling these challenges head-on is crucial to unlocking the full potential of telemedicine and remote monitoring. By addressing concerns surrounding data security and interoperability, the healthcare industry can fortify these innovations, ensuring they become reliable pillars of accessible and efficient healthcare delivery, not just in well connected urban centers, but also in the far reaches of remote areas.
Point of Care Devices: Advanced medical devices, often referred to as Point of Care (POC) devices, are revolutionizing healthcare by playing a crucial role in preventing and managing chronic diseases. These innovative devices, such as continuous glucose monitoring systems, ECG monitors, and blood pressure monitoring tools, empower individuals to monitor their health in real-time.
"Point of Care devices are pivotal in preventing chronic diseases, providing reliable data for effective remote medical consultations."
Continuous glucose monitoring allows individuals with diabetes to track their blood sugar levels seamlessly, enabling timely intervention and personalized treatment adjustments. ECG monitoring provides a comprehensive view of cardiac health, facilitating early detection of abnormalities and reducing the risk of cardiovascular diseases. Blood pressure monitoring, when integrated into daily life, assists in maintaining optimal cardiovascular health.
Moreover, the seamless integration of these devices into telehealth practices enhances remote medical consultations. Healthcare providers can access accurate and timely data, enabling them to make informed decisions, offer timely interventions, and personalize treatment plans. This not only improves patient outcomes but also reduces the burden on traditional healthcare systems.
Data Security and Privacy Concerns: As medical electronics become more integrated into healthcare, ensuring the safety, security, and effectiveness of devices is paramount. Strict adherence to data sharing protocols, educating patients on Al complexities, and maintaining reliable, valid data sets are crucial.
'Effective implementation of encryption techniques and continuous monitoring are imperative to safeguard sensitive medical information.' Rakesh Pandey emphasizes that a proactive approach to cybersecurity, involving regular assessments and updates, is essential. The interconnected nature of medical devices underscores the need for robust security measures, preventing unauthorized access and potential misuse.
Data transparency is equally vital. Establishing clear communication channels between healthcare providers, device manufacturers, and patients fosters trust and ensures that all stakeholders understand the nuances of Al-driven technologies. This transparency extends to educating patients about the complexities of Al algorithms, promoting an informed and collaborative healthcare journey.
Moreover, the reliability and validity of datasets underpin the success of medical electronics. Rigorous validation processes, cross-verification, and continuous refinement contribute to the creation of datasets that accurately represent diverse patient populations. 'Ethical considerations, such as unbiased representation and consent, are integral in shaping datasets,' adds Pandey.

Insights for Navigating the Evolving Landscape:​

For Healthcare Professionals: "Healthcare professionals play a key role in addressing patient needs through technological innovations. Bridging the gap is essential," emphasizes Abhimanyu Roy. To navigate this intersection successfully, professionals must proactively stay updated on emerging technologies. This proactive approach involves understanding how these innovations can be strategically applied to meet diverse patient needs effectively. By fostering a deep comprehension of technological advancements, healthcare providers can unlock opportunities to enhance patient care, streamline processes, and optimize outcomes.
Moreover, as technology continues to advance, professionals need to cultivate a forward-thinking mindset, anticipating future challenges and exploring innovative solutions.
Embracing a culture of continuous learning and adaptation is vital to ensure that healthcare practices remain at the forefront of progress. The integration of technology into healthcare not only improves patient outcomes but also enhances the overall efficiency of the healthcare system.
Therefore, by actively engaging with emerging technologies, healthcare professionals contribute significantly to shaping the future of patient-centered care.
For Patients: Healthcare relies heavily on technology, understanding national medical policies and data security laws is paramount for patients. This awareness not only safeguards personal information but also plays a pivotal role in enhancing the overall quality of healthcare services.
"Empowering patients through knowledge of their personal medical information fosters a proactive approach to healthcare. As stakeholders in their own well-being, individuals must stay informed about the policies and laws governing medical data security."
With the increasing prevalence of electronic health records and telemedicine, patients' sensitive data is vulnerable to cyber threats. By staying abreast of national medical policies, individuals can actively participate in protecting their privacy. Furthermore, informed patients can engage in meaningful discussions with healthcare providers, fostering a collaborative approach to treatment plans. This mutual understanding contributes to a more patient-centric healthcare system.
In the context of evolving medical landscapes, where the fusion of technology and healthcare is inevitable, patients who are well-versed in data security laws can make informed choices about sharing their information. This not only ensures the confidentiality of personal data but also aids in building trust between patients and healthcare providers. As Abhimanyu Roy rightly asserts, "Patients should be aware of medical policies and data security laws to ensure their personal data is not misused. Knowledge empowers better treatment."
In conclusion, the convergence of medical electronics with cutting-edge technologies is undeniably propelling a transformative healthcare revolution in 2024. The symbiotic integration of wearables, Artificial Intelligence, and immersive technologies is reshaping the landscape of healthcare delivery. These advancements not only redefine patient care but also address critical aspects of accessibility and medical research. In summary, the amalgamation of medical electronics with pioneering technologies is revolutionizing healthcare in 2024.
From wearables and Al to immersive experiences, the overarching goal is to elevate patient care, promote accessibility, and advance medical research.
Author: Rakesh Pandey, Delivery Head - Product Engineering, Healthcare and Life Sciences, Tata Elxsi

Tata Elxsi - Medical Electronics Pioneering Healthcare in 2024

Tata Elxsi

www.tataelxsi.com

As a reminder...

 

[hotty4040]

Management have stated on many occasions, WATCH THE FINANCIALS

Look, we don't need to be constantly reminded of this by anyone, particularly, you.

Go and do some real research ( for a change ) and produce something ( anything ) that is useful for posting will you.

Currently, and for quite some time now, you don't add anything meaningful to the conversation at all, mostly.

Why is this so. ? ( thanks Prof ).......

Do some digging, and make your conversation much more, WORTHWHILE, for a change. The mood in these threads, in respect to your contributions, would remarkably change as well, I can assure you.

Your agenda, would ( surely ) also change,

Just my opinion, ( in my opinion )

Akida Ballista chippers >>>>> Some great reveals immerging ( In my opinion, DYOR ) <<<<<

I can't resist the s/p at the moment, it's unreal.


hotty...

 

[7für7]

Management have stated on many occasions, WATCH THE FINANCIALS

I dooo but since your name is “Holland” maybe you can translate!? I don’t understand Dutch language

Home | The Financials

www.thefinancials.nl

 

[Iseki]

Hi All
I am loath to bother stating the obvious because it will be attacked and lies will be spread far and wide for reasons that others need to judge but what the heck:

Fact 1: Mercedes Benz with a $72 billion market cap in a magazine article is reported as saying at CES 2022 that it is working with Brainchip trialling AKIDA technology in a concept vehicle not intended for production and makes some positive comments. Before these magazine reports can be verified the share price commences to rise terminating at $2.34 before commencing to fall.

Fact 2: OnSemi, Microchip and Infineon with a combined $122.10 billion market cap undertake joint demonstrations of their respective technologies working with Brainchip AKIDA technology at CES 2023 for a range of mass consumption use cases not concepts and company representatives of each come on publicly released Brainchip podcasts and go on record permanently confirming they are actually partnered for these demonstrations and speak highly of the individual outcomes and the Brainchip share price drops to 16 cents.

My opinion only so DYOR but the logic of the above is difficult to understand.
Fact Finder

MB, if they use Akida will pay us royalty - because they sell direct to consumers.

All the others are pass through companies - their clients will pay us royalties if they use Akida - because they only sell to OEMs.

I think.

 

[AARONASX]

 

[Damo4]

Another great podcast!

I'm no longer getting YouTube notifications lol

 

[Boab]

Todays trading. If I let you play with mine can I play with yours.

 

[Kachoo]

Todays trading. If I let you play with mine can I play with yours.
View attachment 54533

The reason they can do that is there is no new money flow people are not buying any shares. The market price reflects on net buyers price moves up when there is no buyer possible mad seller or 2 then you just play hot potatoes.

The main problem is BRN do not communicate via ASX and therefore do not attract new money to the stock hence the constant talk about asx announcements.

 

[David holland]

I dooo but since your name is “Holland” maybe you can translate!? I don’t understand Dutch language

Home | The Financials

www.thefinancials.nl

Don't get upset mate, the market doesn't react to dot joining or positive podcasts, The shareprice will do what the shareprice will do, I forget the guy that mentioned that nor the guy who said watch the Financials,
However Brainchip are leaking little things 1 way or another in a Roundabout way ,so stay positive or read FACT FINDERS Posts his a positive guy or a learned friend of the chat

 

[Fenris78]

About 3:40 mins in.... Microchip and Akida ready for higher end customers.

 

[newpunta]

Hello to all the Bleeding & stubborn long-term believers out there and a big Congratulations to all the New Investors UNLESS you are planning to use your shares to keep progressing the great SHORTING fiasco.

Big move at around 2.40pm - 15.5c got wiped out by buyers or did it get pulled off the shelf ? I missed that moment of action – it happened so quickly.
I have been taking more screenshots than I care to count as evidence for many weeks now and will soon be ready to start a campaign to hold the appropriate organisations/entities responsible TO ACCOUNT for, what is in reality has become a corrupted platform for investment in my opinion.
Stay tuned, I will soon advise further how you may join me in the action I propose – if you wish.

Hang in there believers and have a nice day