BRN Discussion Ongoing

Yeah they had agreement back in 2010 for the initial platform & licencing. Don't know if still working with them but only a quick glance so far.

Saw some staff there worked with Valeo previously.





View attachment 9414
Pretty sure I saw some GitHub related stuff in more recent years relating to scala lidar with ibeo reference in my quest for more information. That was some really early morning digging so take that with a grain of salt.
 
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JPIck

Regular
I think the only way we will see any sort of rally is if we get an announcement of some substance, surely we must be close to something, somewhere , with someone .......somehow..........someday, hopefully before summer
 
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cosors

👀
Some honey for you in the form of confidence in these hard days. It seems especially the Germans like Brainchip.
I notice that the order has changed and Brainchip now comes first before Infineon and Co.

"15.06.2022 | 05:58

SAP, BRAINCHIP HOLDINGS, INFINEON - CHIP STOCKS AHEAD OF THE NEXT WAVE!​


The current interest rate decision is casting its shadow, and market participants are unsettled by the horrendously rising inflation rates. In the fight against inflation, the U.S. Federal Reserve is likely to further reduce its balance sheet and introduce more aggressive interest rate cuts. However, there is then a risk of significantly weakening the economy. This would seriously worsen the macroeconomic picture and significantly increase the risk of the USA sliding into recession. The biggest losers from a major interest rate hike are likely to remain interest rate-sensitive growth stocks. However, such a scenario is already priced in for many stocks.

BRAINCHIP HOLDINGS - ANOTHER EXCLAMATION MARK
With some stocks, one is glad when a stronger correction takes place. Especially if you missed the first upward move. The performance of the Australian growth company BrainChip is symptomatic of this. After a price rally from the equivalent of around EUR 0.30 to EUR 1.75 at the high, the share price corrected by around 70%. One share of the developer of the highly innovative Akida chip currently costs the equivalent of 0.57 EUR.

Fundamentally, the IP company keeps putting exclamation points confirming the quality of the Akida chip. The inclusion in the AI partner program of the global semiconductor giant ARM underpins this once again. The U.K.-based company's partner program is an ecosystem of hardware and software specialists designed to enable developers to build the next generation of AI solutions, according to a statement. Mohamed Awad, vice president of IoT and embedded at ARM, made the following comments: "As part of ARM's AI Partner Program, BrainChip will enable developers to address the need for high-performance and ultra-low-power edge AI inference, enabling new innovation opportunities."

The "Akida" neuromorphic processor could become the new standard for the semiconductor industry. The advantages are that it is very low-power, high-performance, and promotes the growth of edge AI technology by using a neuromorphic architecture, a type of artificial intelligence inspired by the biology of the human brain.

The most efficient solution ever produced - if you listen to the opinions of experts - learns on its own and is predestined for future topics such as the Internet of Things, autonomous driving or robotics. Should commercial production continue and Akida conquer the mass market, the current market capitalization of the equivalent of EUR 1 billion is unlikely to last much longer.
..."
https://www.inv3st.de/kommentare/sap-brainchip-holdings-infineon-chip-aktien-vor-der-nachsten-welle
 
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D

Deleted member 118

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Found some money in the sofa today and decided to buy some buttcoin instead lol
 
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Found some money in the sofa today and decided to buy some buttcoin instead lol
I've got some btc dust left in a few wallets from years back from buying shit coins worth a few K now.
 
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Diogenese

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Deleted member 118

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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Diogenese

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Hopefully enough cash in a week or 2 to get more BrN, unless it shits itself further
I seriously believe btc will hit a few hundred K in years to come
 
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KMuzza

Mad Scientist
A announcement on a signing would be ideal now ;)
I think the only way we will see any sort of rally is if we get an announcement of some substance, surely we must be close to something, somewhere , with someone .......somehow..........someday, hopefully before summer

R- surely someone can make something out of this- Megachips dated 26 May 2022


A Strategic Partnership- with Megachips-🤷‍♂️ dated 26 th May 2022.

AKIDA BALLISTA UBQTS
 
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robsmark

Regular
I can never save up big parcels as I'm too scared to be left with my pants down.. I refuse to be on the bus with my suitcase left on the side of the road. I can't be the only one 😂
No risk no reward.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
This article was written in 2017. I love the title! Hehehe! Makes you appreciate how far BrainChip has come. You know, I can't help but think that we'll get an announcement from Qualcomm sometime in the near future, especially in light of the following statement.

"Qualcomm is also a player in neuromorphic designs, but seems to have cooled on the technology – publicly, at least. Back in 2013, it was working on processors called Zeroth, but has since morphed the Zeroth project into a software-based proposition that will find its way into the core Snapdragon system-on-chip offerings – as a software code stack, rather than as a standalone processor."

Akida is a perfect match for the next generation of the Snapdragon Cockpit (digital cockpit and infotainment system). Please Qualcomm, just spill the beans already!



18 October 2017

Intel joins IBM and Qualcomm in race for a ‘brain chip’


By Caroline Gabriel
Intel has announced its first self-learning neuromorphic chip, named Loihi, which it says will get smarter over time and enable extremely power efficient designs. This follows IBM’s work on neuromorphic processors, which draw inspiration from the human brain, and are poised to heavily disrupt any application that needs processing power in a mobile device.
Following the Loihi announcement, Intel also unveiled a new quantum computing chip, in collaboration with QuTech (a Dutch company that scored $50m of Intel investment in 2015), which was developed over the past 18 months. That’s a very different proposition from the machine learning elements in Loihi, but Intel is pouring money into its R&D divisions, hoping to keep its processors ahead of the curve and fend off incursions by alternative architectures such as ARM (Qualcomm also has a ‘brain chip’), or Nvidia’s GPUs (graphics processing units).
Intel is far from the only neuromorphic player. IBM and its TrueNorth processors are the most advanced platform on the market, with IBM already having contracts with laboratories in the USA, including the Lawrence Livermore National Lab, which is using it to run simulations to evaluate the safety of the US nuclear arsenal. IBM also has a development partnership with Samsung, which sees the Korean firm use IBM’s newer SyNAPSE design in its Dynamic Vision Sensor – which provides a 2,000-frames per second view of the world in a 300mW power package.
Qualcomm is also a player in neuromorphic designs, but seems to have cooled on the technology – publicly, at least. Back in 2013, it was working on processors called Zeroth, but has since morphed the Zeroth project into a software-based proposition that will find its way into the core Snapdragon system-on-chip offerings – as a software code stack, rather than as a standalone processor.
The promise of neuromorphic chips is their potential for incredible power efficiency. The human brain is an incredibly efficient processing engine, and chips built to mimic its design appear to reap the rewards. Intel claims Loihi is about 1,000 times more energy efficient than the general purpose processor needed to train the neural networks that rival Loihi’s performance.
In theory, this means that chips like Loihi can be far more quickly turned to tasks that use pattern recognition and intuition, which currently rely on vast banks of CPUs and GPUs to achieve results. One chip could replace all the hard work of a traditional machine learning instance, as well as powering a device out in the wild that can carry out advanced pattern recognition – thanks to having both training and inference on the same silicon.
Intel says that this dual system will allow for machines to operate independently of a cloud connection, and says that its researchers have demonstrated a learning rate that boasts one million times improvement over typical spiking neural networks in finger/digit recognition problems. Intel says this is far more efficient than using convolutional neural networks (CNNs) or deep learning neural networks (DLNNs).
“The brain’s neural networks relay information with pulses or spikes, modulate the synaptic strengths or weight of the interconnections based on timing of these spikes, and store these changes locally at the interconnections. Intelligent behaviors emerge from the cooperative and competitive interactions between multiple regions within the brain’s neural networks and its environment,” explained Michael Mayberry, MD of Intel Labs.
The reason Intel in particular is so keen on being at the heart of these new brain chips is their ability to generalize – something that the current model of training doesn’t do well. Currently, a machine learning process could be trained to identify cats expertly, but it would be awful at spotting dogs, even though they share many characteristics. This is because the training data set and model would not account for dogs, and so a completely different model would be needed for that purpose.
With a chip that can self-learn without the need for the new training data set, it should be far easier to tweak the system to spot smaller generalized differences in data or events.
Intel points to a system for monitoring a person’s heartbeat, taking readings after events such as exercise or eating, and using the neuromorphic chip to normalize the data and work out the ‘normal’ heartbeat. It can then spot abnormalities, but also deal with any new events or conditions that the user is subject to – without having to create a training data set to cover all bases. It should provide shorter development time, and better performance in the wild. Again, these are the promises – we’re still a long way from benchmarking these claims in real world situations.
Loihi will be released to research institutions and universities in the first half of 2018. They will get to test its fully asynchronous neuromorphic many-core mesh – a design that Intel says supports a wide range of neural network topologies, and allows each neuron to communicate with the other on-chip neurons (hence mesh). Each of the neuromorphic cores has a programmable learning engine, which the developers can use to adapt the neural network parameters, to support the different ‘learning paradigms’ – supervised, unsupervised, and reinforcement, mainly.
The first iteration of the Loihi chip was made using Intel’s 14nm fabrication process, and houses 1,024 artificial neurons that provide 130,000 simulated neurons – giving it 130m synapses, which is still a rather long way from the human brain’s 80bn synapses, and behind IBM’s TrueNorth, which has around 256m but using 4,096 cores. It seems Intel is getting more synapses with fewer cores, but there’s no practical way of benchmarking the two chips as yet.
As the neurons spike and communicate with other neurons, and as they process information, the inter-neuron connections are strengthened – which leads to improved performance (the learning element). That learning takes place on the chip, and doesn’t require the enormous data sets, but still requires knowing what the question is, and how to gauge a correct answer.

 
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Proga

Regular
Just when BRN was ready for take off, the Global Markets go into melt down, a never ending war in Europe, inflation, stagnation, One Nation, whatever!!. Its going to take more than that to prevent the inevitable rise of BRN to the highest pinnacle of enraptured success.
True. It hasn't helped the SP in the short term but BRN's main problem is there isn't a lot of understanding and capability when it comes to Edge AI development which the current global problems didn't cause. The good news is this is rapidly improving with a lot of partnering and cross pollination within the ecosystem which won't be slowed down by the current global problems.

Almost there.
 
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Taproot

Regular
I thought ibeo was behind the lidar for valeo. Sorry just woke up from a snooze if this is not the path you seek.
RFTA,
Yes, you are quite right.
Ibeo created SCALA.

With the ScaLa SOP in 2016 Ibeo is the first company worldwide, who has developed a mass-market automotive LIDAR sensor. The ScaLa sensor was designed for the customer Audi.

In this paper we evaluate the use of a laser scanner for future advanced driver assistance systems. We focus on the important task of predicting the target vehicle for longitudinal ego vehicle control. Our motivation is to decrease the reaction time of existing systems during cut-in maneuvers of other traffic participants. A state-of-the-art laser scanner, the Ibeo Scala B2 R , is presented, providing its sensing characteristics and the subsequent high level object data output.

Valeo is by far the most advanced company today in terms of industrialization, maturity, testing, reliability and manufacturing scalability of an automotive LiDAR product for ADAS, and eventually for AVs. The SCALA® design was initiated with a cooperation, development and licensing agreement with Ibeo in 2010. Valeo invested in maturing the initial design platform into the launch of the fully qualified second generation SCALA® product in 2021. More than 150,000 units have been sold to date.

Valeo has signed a cooperation, development and license agreement with Ibeo Automotive Systems GmbH in the field of laser scanner technology.
This agreement gives Valeo exclusive access to Ibeo’s expertise and know-how and enables it to evolve Ibeo’s laser scanner technology for high-volume applications. This technology complements Valeo’s own range of radar, ultrasonic, infrared and vision sensor systems. With the laser scanner, Valeo will be able to promote innovative active safety features in this area.
 
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KMuzza

Mad Scientist
Brainchip could have got the Quaddie- 👍


With Megachips Doug Fairbairn - Rob Telson and Steve Roddy - hope they all kept up the old workplace friendship-
listen to the last few mins of the podcast and the knowing chuckle / laugh of stating where Megachips have their office😂😂

AKIDA BALLISTA UBQTS
 
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Ooh Anastasia, you had me at grey matter ….

 
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RFTA,
Yes, you are quite right.
Ibeo created SCALA.

With the ScaLa SOP in 2016 Ibeo is the first company worldwide, who has developed a mass-market automotive LIDAR sensor. The ScaLa sensor was designed for the customer Audi.

In this paper we evaluate the use of a laser scanner for future advanced driver assistance systems. We focus on the important task of predicting the target vehicle for longitudinal ego vehicle control. Our motivation is to decrease the reaction time of existing systems during cut-in maneuvers of other traffic participants. A state-of-the-art laser scanner, the Ibeo Scala B2 R , is presented, providing its sensing characteristics and the subsequent high level object data output.

Valeo is by far the most advanced company today in terms of industrialization, maturity, testing, reliability and manufacturing scalability of an automotive LiDAR product for ADAS, and eventually for AVs. The SCALA® design was initiated with a cooperation, development and licensing agreement with Ibeo in 2010. Valeo invested in maturing the initial design platform into the launch of the fully qualified second generation SCALA® product in 2021. More than 150,000 units have been sold to date.

Valeo has signed a cooperation, development and license agreement with Ibeo Automotive Systems GmbH in the field of laser scanner technology.
This agreement gives Valeo exclusive access to Ibeo’s expertise and know-how and enables it to evolve Ibeo’s laser scanner technology for high-volume applications. This technology complements Valeo’s own range of radar, ultrasonic, infrared and vision sensor systems. With the laser scanner, Valeo will be able to promote innovative active safety features in this area.
G'day mate yes already read that stuff in my researching 😂 amazing company with links to zf
 
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