BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Makeme 2020
Regular
Pick a year.If we don’t have any more IP deals by end of 2025 or solid continuing revenue via Royalties from existing costumers I will have to face the hard fact that I bought too early
In my honest opinion, I am expecting a slow but steady increase in sales and revenue from various channels from mid 2024———->
I think first revenue will be edge Box with VVDN which will lead to more interest in IP sales.
Second I am hoping Renasas chip with Akida IP comes on market which was said to be in last quarter of 2023. Hoping it is still in close proximity to this expected release date.
Thirdly I am hoping Megachips get something happening considering their initial investment in IP I’m assuming they had something in mind for this… (they do..)
Fourth is in my opinion a space initiative that will bring revenue. Eg. NASA,Varago,
Fifth I am hoping one of the known partnerships will turn into commercial partnership and IP deals Eg. Tata, Arm, Ford, Mercedes, Nviso, etc.
Sixth I am putting my money on Valeo Laidar, however I am not convinced that we are in Scala 3 yet. I want it to be, but by my understanding it takes a loooong time to get new technology into products especially safety features in cars in mass production., and without IP deal I just don’t see it being the case yet. Happy to be wrong, I’m sure Chapman 89 will come at me here!
All in my opinion of course and time will tell.
What happened to Renesas late 2023.
Now it's 2025.
MDhere
Top 20
Mate sorry but you've missed a year and that's called 2024
Makeme 2020
Regular
I'm not your mate.
David holland
Regular
Rapidus also
Kachoo
Regular
I'll just point out they announced a joint partnership way back in 2019 I believe. So Scala 3 is a possibility as the planning would have occurred even sooner then the announcement. It reads they had a joint partnership development. This would be similar to VVDN and Unigen. So licensing IP is not needed on Valeos part. That said they advertise as a partner so they are collaborating. Now we can speculate we are in Scala 3 or not in it im not the expert. What I do know is that based on the history of how things unfolded I believe we are in it and will see revenue.If we don’t have any more IP deals by end of 2025 or solid continuing revenue via Royalties from existing costumers I will have to face the hard fact that I bought too early
In my honest opinion, I am expecting a slow but steady increase in sales and revenue from various channels from mid 2024———->
I think first revenue will be edge Box with VVDN which will lead to more interest in IP sales.
Second I am hoping Renasas chip with Akida IP comes on market which was said to be in last quarter of 2023. Hoping it is still in close proximity to this expected release date.
Thirdly I am hoping Megachips get something happening considering their initial investment in IP I’m assuming they had something in mind for this… (they do..)
Fourth is in my opinion a space initiative that will bring revenue. Eg. NASA,Varago,
Fifth I am hoping one of the known partnerships will turn into commercial partnership and IP deals Eg. Tata, Arm, Ford, Mercedes, Nviso, etc.
Sixth I am putting my money on Valeo Laidar, however I am not convinced that we are in Scala 3 yet. I want it to be, but by my understanding it takes a loooong time to get new technology into products especially safety features in cars in mass production., and without IP deal I just don’t see it being the case yet. Happy to be wrong, I’m sure Chapman 89 will come at me here!
All in my opinion of course and time will tell.
Valeo may not need to announce anything to the public as they are the main developer and Akida is a minor part of the system. Likely BRN will be happy to be paid for their part and that will be it. Valeo if you look at their site likely use parts and components from many companies none of which are advertised.
Its a fact that many things we by our TV do we know all the components and who built what? Its just the way it is Akida sells to OEM and Suppliers not to final consumers hence we will not be advertised. The Edge box will be advertised as it is a different can of worms and a different Company that builds multiple boxes so they would need to be differentiated.
This is all my opinion take it for what its worth to you mate. Cheers
wilzy123
Founding Member
David holland
Regular
David holland
Regular
Have you used your quota for pictures Willy wonka
MDhere
Top 20
Let me rephrase it then .
"Make" sorry but you've missed a year and that's called 2024
Fullmoonfever
Top 20
Like to think these writers are closer to the action than most of us, especially those that have quals and a deep interest in the industry. Trusting what he is thinking will come up big next year and we will be a part of it.
More a general few paragraphs on neuromorphic I snipped from the article.
www.bbntimes.com
Kurt Cagle
16 hours ago
As we stand on the precipice of 2024, the metaphorical "glass darkly" is a lens through which we seek glimpses of the unfolding future.
In this reflective journey, we contemplate the potential trends, challenges, and transformative shifts that may shape the year ahead.
I started Through a Glass Darkly back in 2003, and it has become, for me, a chance to identify those trends that I think are likely to play out over the next year to two years. I haven't always published it, and my track record is far from perfect, but normally because a trend that I thought would "break out" that year took longer than I thought to incubate.
If there's a theme, it's that we're now entering a period not of rapid evolution but rather iterative refinement.
Most AI models currently run on GPUs, which are high-speed, high-capacity chips designed specifically for complex mathematical processing, which is very common in games and 3D rendering. However, for neural networks, this is actually more than a little overkill, as what is needed is less complex transformational pipelines involving deep math and very fast processing that requires considerably less precision on fairly basic numbers (16 and even 8-bit floating point numbers).
By creating specialized chips optimized this way, these give up a lot of the more powerful (and costlier) graphics features in exchange for blazing speed and optimized design for neural net kernels, something that sits at the heart of nearly all deep learning systems.
Additionally, many of these chips also incorporate localized data storage that sits in each node of the processor stack, significantly reducing the latency of data reads and writes considerably. Most of the major tech companies are now exploring some variation of the Neuromorphic chip for everything from specialized llamas for companies to something that could embed AI into a car, television set, IoT device, or drone, and neuromorphic chips will likely start appearing in production toward the latter half of 2024.
More a general few paragraphs on neuromorphic I snipped from the article.
SEC Cybersecurity Disclosure Rules Take Effect
The implementation of the SEC Cybersecurity Disclosure Rules signifies a paradigm shift in how companies approach and disclose cybersecurity matters.
REFLECTIONS OF THE FUTURE: A GLIMPSE THROUGH A GLASS DARKLY IN 2024
Kurt Cagle
16 hours ago
As we stand on the precipice of 2024, the metaphorical "glass darkly" is a lens through which we seek glimpses of the unfolding future.
In this reflective journey, we contemplate the potential trends, challenges, and transformative shifts that may shape the year ahead.
I started Through a Glass Darkly back in 2003, and it has become, for me, a chance to identify those trends that I think are likely to play out over the next year to two years. I haven't always published it, and my track record is far from perfect, but normally because a trend that I thought would "break out" that year took longer than I thought to incubate.
If there's a theme, it's that we're now entering a period not of rapid evolution but rather iterative refinement.
Crystal Fish and Neuromorphic Chips
You will likely hear about Neuromorphic chips and quartz crystal storage a great deal this year. Neuromorphic chips are designed specifically to carry deep language models and thus are optimized for complex retrieval. This is an example of a technology (neural networks) that is making the jump from software to hardware.Most AI models currently run on GPUs, which are high-speed, high-capacity chips designed specifically for complex mathematical processing, which is very common in games and 3D rendering. However, for neural networks, this is actually more than a little overkill, as what is needed is less complex transformational pipelines involving deep math and very fast processing that requires considerably less precision on fairly basic numbers (16 and even 8-bit floating point numbers).
By creating specialized chips optimized this way, these give up a lot of the more powerful (and costlier) graphics features in exchange for blazing speed and optimized design for neural net kernels, something that sits at the heart of nearly all deep learning systems.
Additionally, many of these chips also incorporate localized data storage that sits in each node of the processor stack, significantly reducing the latency of data reads and writes considerably. Most of the major tech companies are now exploring some variation of the Neuromorphic chip for everything from specialized llamas for companies to something that could embed AI into a car, television set, IoT device, or drone, and neuromorphic chips will likely start appearing in production toward the latter half of 2024.
Tothemoon24
Top 20
This little pearler from Wevolver is simply giving a view point & promotion of our podcast 5 months ago with Tenstorrent .
Its great to have theses individual view points shared & reaching 140.000 followers .
BrainChip's Deep Dive into AI's Future: A Podcast with Tenstorrent's COO Keith Witek
Jessica Miley
29 Dec, 2023
FOLLOW
Sponsored
Navigating AI's Future in a Riveting Podcast Discussion
Artificial Intelligence- Edge AI
- Machine Learning
- Neuromorphic Computing
For those eager to grasp the intricacies of AI and neuromorphic computing BrainChip's podcast series stands out as a strong source of knowledge. In their 28th episode titled "This Is Our Mission," BrainChip's Rob Telson orchestrates a riveting conversation with Tenstorrent's COO, Keith Witek, and BrainChip's CMO, Nandan Nayampally. This episode provides a treasure trove of insights, making it a must-listen for engineers working in the industry or warning to know more about the cutting edge of computing.
About the Guests
Rob Telson, the Vice President of Ecosystem and Partnerships at BrainChip, is the dynamic force behind the podcast series. With a keen eye for curating meaningful discussions, Telson ensures that each episode is both enlightening and engaging. His role at BrainChip involves fostering partnerships and building a robust ecosystem, making him the perfect host to bridge the gap between technical intricacies and their real-world implications.Keith Witek, the COO of Tenstorrent, boasts an impressive resume. With degrees spanning Business, Computing, Electrical Engineering, and Law, Witek has left his mark at tech giants like Google and Tesla. His expertise in strategic alliances, especially in consumer electronics, sets the stage for a profound discussion.
Nandan Nayampally, BrainChip's CMO, brings to the table a rich history in the semiconductor domain. With stints at AMD, Denali Software, and even Amazon's Alexa, Nayampally's insights into computing trends are invaluable.
Podcast Key Discussion Points
AI's Staying Power: The realm of technology is no stranger to fleeting trends, but AI is not one of them. As discussed in the podcast, AI has firmly established itself as a transformative force, with its applications and implications reaching far and wide. The consensus between the experts is clear: AI's influence in shaping the future is undeniable, and its role in various sectors is only set to grow.Real-world AI Impacts: The podcast delves into tangible ways AI is making a difference in our lives. From the significant reduction in car-related fatalities due to AI-driven safety features to the potential of personalized healthcare solutions tailored to individual needs, AI's footprint in real-world scenarios is expanding rapidly.
Challenges in AI Scalability: Despite its vast potential, AI faces its set of challenges. The podcast highlights issues like the massive influx of data that systems need to process and the impending slowdown of Moore’s Law. These challenges pose questions about the scalability and efficiency of current AI models.
Innovative Solutions: The conversation takes an optimistic turn when discussing the solutions. Industry leaders, including BrainChip and Tenstorrent, are at the forefront of addressing these challenges. Their innovative approaches and technologies promise to overcome existing barriers, paving the way for a more AI-integrated future.
Promising Tech Deployment Models: The podcast also touches upon the future of technology deployment. The concept of chiplets, for instance, offers a glimpse into the potential shifts in how we might approach hardware design and integration in the coming years, ensuring more efficient and scalable AI implementations.
Closing Thoughts
This podcast episode is a great resource for anyone interested in the future of AI, regardless of their background or level of knowledge. It promises to offer insights into real-world applications, challenges, and solutions that are shaping the evolution of AI. As the world stands at the brink of an AI revolution, it becomes increasingly important to understand its nuances and potential implications.
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Pom down under
Top 20
I don’t know who this bloke is but look
at his work experience in June till August in 2023 and what he was doing.
at his work experience in June till August in 2023 and what he was doing.
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MDhere
Top 20
Morning fellow brners,
Saw Magikeye is surfacing at Ces2024 which is good so I decided to check back on things with Shikino High tech having bought an undisclosed share of Magikeye. The building that Shikino working out of is an interesting one in Fukuoka institute of System LSI building which also houses Toshiba.
Somehow I referred back to the building that was pictured on Brainchips website but not quite the same and the building in Brainchip website appears to be a building in Madrid taken by a camera manufactured by Canon.
AND somehow from there I ended up in the hands of my love TCS and Renesas page which im sure has been shown before but I've added here.
So from Magikeye to Shikino to Fukuoka to Toshiba to Madrid to Canon to TCS and Renesas, ive completed an around the world trip in a matter of hours. I must say I did actually have fun.
Happy Yew Years Eve all.
Saw Magikeye is surfacing at Ces2024 which is good so I decided to check back on things with Shikino High tech having bought an undisclosed share of Magikeye. The building that Shikino working out of is an interesting one in Fukuoka institute of System LSI building which also houses Toshiba.
Somehow I referred back to the building that was pictured on Brainchips website but not quite the same and the building in Brainchip website appears to be a building in Madrid taken by a camera manufactured by Canon.
AND somehow from there I ended up in the hands of my love TCS and Renesas page which im sure has been shown before but I've added here.
So from Magikeye to Shikino to Fukuoka to Toshiba to Madrid to Canon to TCS and Renesas, ive completed an around the world trip in a matter of hours. I must say I did actually have fun.
Happy Yew Years Eve all.
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Perhaps
Regular
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Pom down under
Top 20
But it was what he was working on in this time that counts.
Perhaps
Regular
No hardware company called Zalmotec to find at www. All with a grain of salt. The self description has something of a big mouth, sorry.
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Kachoo
Regular
Good morning all,
PDU and Perhaps,
It took a moment to clue in the timeline.
This is legitimate proof that BRN and Mercedes are still working not like some here and there say nothing is happening or down play the value of this partnership.
But I think we already new that with MB hires in Neuromorphic engineers and such. It is the only link that puts Akida still with MB this is more solid then the tweet lol.
Pom down under
Top 20
There hasn’t been much info that we are still working with Mercedes apart from the company says we are. So it looks like we could be working on distractive driver technology?
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