BRN Discussion Ongoing

[Slade]

I still think it's too early to start popping the corks, but very happy to be proven wrong @Xray1 Sean's message has been clear from the get-go.

Get our name out there ! Proudly show the world "what we got man"

Peter and Anil aren't Sales Professionals, it doesn't suit their personalities, they are the guys to turn to whenever the sales teams get a solid lead and their joint brilliance is required to explain in detail, offer up technical solutions that Sean, Rob, Ken and here in Perth, Tony, aren't qualified to answer, that then becomes a major factor in the sales process moving forward.

Any potential lead that is given false information, not because the salesperson was trying to mislead or oversell the technology, but because of not having the intimate knowledge that the co-founders have in detail that is beyond even highly qualified engineers in this revolutionary technology space, would prove to have the reverse effect, so selling is one factor, but you will always be caught out trying to bluff your way through a sales process, every time.

Peter's and Anil's input is a major step in the sales process, but repeating, they aren't the in-your-face sales pro's.

Purely my own opinion from observations.

Tech, it’s never too early to pop the corks.

 

[Fact Finder]

It is my day for stealing content but over on Breaking News Thread Fullmoonfever has posted the following:

I have told FMF I was bringing this article over here and was going to ask the 1,000 Eyes if anyone knew that Brainchip's AKIDA technology had been 'implemented or tested for biometric authentication in mobile devices, cars, computers and beyond.'

The paper references if you read the whole document that police have used biometric authentication for voice recognition. Indeed there was a very significant criminal case many years ago involving the conviction of a notorious criminal referred to as 'Jockey' Smith based largely on voice identification evidence and later in my career running cases where telephone intercepts were being used as evidence acoustic science was just making its way into courts.

While reading this in the above paper apart from these recollections it occurred to me that Brainchip was working with Homeland Security in France. Think about the large number of man hours taken up in monitoring telephone conversations of cells of suspected terrorists.

Imagine if AKIDA technology could voice identify all members of the cell and disseminate this information to all other AKIDA devices so that if one of the identified voices is recognised speaking with another cell then this can be reported and the intelligence value and hence the ability to stop a terrorist act would compound exponentially.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

The new CEO Sean Hehir made it clear that he was intent on getting Brainchip and the AKIDA technology out of the wardrobe where it had been hiding during the development and patent protection phase. The increasing number of reveals of papers thanks to the work here by the 1,000 Eyes makes it clear that he is being successful and true to his stated intention.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Slade]

I think we will see our new CMO stepping out of the shadows very soon. It’s easy to forget that BrainChip has a great team of people working hard in the background.

 

[Fact Finder]

If you have not been over to the Brainchip Intellisense thread in the last hour please walk in an orderly fashion, do not run in the hall, and be impressed with the work of the 1,000 Eyes building on the original reveal by @uiux. Even Diogenese and the former Manchild have joined in along with Greenwaves.

Cognitive communications - the future is unfolding.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fullmoonfever]

It is my day for stealing content but over on Breaking News Thread Fullmoonfever has posted the following:

View attachment 2634


I have told FMF I was bringing this article over here and was going to ask the 1,000 Eyes if anyone knew that Brainchip's AKIDA technology had been 'implemented or tested for biometric authentication in mobile devices, cars, computers and beyond.'

The paper references if you read the whole document that police have used biometric authentication for voice recognition. Indeed there was a very significant criminal case many years ago involving the conviction of a notorious criminal referred to as 'Jockey' Smith based largely on voice identification evidence and later in my career running cases where telephone intercepts were being used as evidence acoustic science was just making its way into courts.

While reading this in the above paper apart from these recollections it occurred to me that Brainchip was working with Homeland Security in France. Think about the large number of man hours taken up in monitoring telephone conversations of cells of suspected terrorists.

Imagine if AKIDA technology could voice identify all members of the cell and disseminate this information to all other AKIDA devices so that if one of the identified voices is recognised speaking with another cell then this can be reported and the intelligence value and hence the ability to stop a terrorist act would compound exponentially.

My opinion only DYOR
FF

AKIDA BALLISTA

FF

Found a workaround to the original Turchin paper reference.

Alexey Turchin, Assessing the future plausibility of catastrophically dangerous AI - PhilPapers

In AI safety research, the median timing of AGI creation is often taken as a reference point, which various polls predict will happen in second half of the 21 century, but ...

philpapers.org

Couldn't locate any ref to biometrics however his comments on Akida:

 

[Fact Finder]

FF

Found a workaround to the original Turchin paper reference.

Alexey Turchin, Assessing the future plausibility of catastrophically dangerous AI - PhilPapers

In AI safety research, the median timing of AGI creation is often taken as a reference point, which various polls predict will happen in second half of the 21 century, but ...

philpapers.org

Couldn't locate any ref to biometrics however his comments on Akida:

View attachment 2635

Mercedes are using voice biometrics.

When drivers want to log into the Mercedes Me app to make a purchase, they will now have the option to sign in using biometrics rather than the traditional PIN method. The display features a fingerprint sensor, though should they choose the driver also has the option of using the two cameras found in the S-class for facial recognition, or even their voice to log into their account.

One down a plethora of other use cases to go. Plagiarising Rob Lincourt of DELL Technologies.

Great find Alfie.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[jk6199]

Nasdaq was up, 1000 eyes finding new info, Brn my only stock in the red today?
Time to search the sofa for more coins to buy some more.

 

[Fact Finder]

FF

Found a workaround to the original Turchin paper reference.

Alexey Turchin, Assessing the future plausibility of catastrophically dangerous AI - PhilPapers

In AI safety research, the median timing of AGI creation is often taken as a reference point, which various polls predict will happen in second half of the 21 century, but ...

philpapers.org

Couldn't locate any ref to biometrics however his comments on Akida:

View attachment 2635

The only issue I take with his summary is that it was 1,024 AKD1,000’s that could be connected but in the end for the markets they are serving they went with the capacity to COTS up to 64.

Great work in accessing this paper FMF.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Chilling]

Right everyone is avoiding it but what is a realistic bottom to this share price?
Semiconductors are up on the Nasdaq but somehow we continue to slide.

 

[Chilling]

Am very intrigued who are the sellers?

 

[Iseki]

Right everyone is avoiding it but what is a realistic bottom to this share price?
Semiconductors are up on the Nasdaq but somehow we continue to slide.

Hi Chilling,

Click anywhere on the graph below, for charting.
Select Indicator button on the graph.
Look for Relative Strength Indicator.
Look at the graph. Once the indicator hits 29 it should bounce back.

 

[Mugen74]

I think we are going to get a bounce soon 90c (61.8)approx was my target for BRN to turn if no annoucements.However never under estimate the mongrels who orchestrate this shit,to crush it lower -if they can they will.Make no mistake I believe "they" want in badly.

 

[Diogenese]

Morning all,

Valeo received an award for their Lidar 3.

Isn’t it wonderful to be a known partner with Valeo (and possibly part of this lauded innovative technology).

Future looks good!

Valeo Lauded by Frost & Sullivan for Delivering Cutting-edge 3D Sensors and Related Software Perception Stack to the Automotive Industry​

Valeo is currently the only automotive supplier commercializing mass-produced automotive-grade LiDAR sensors, with the perception software included.

---

San Antonio — March 15, 2022 — Based on its recent analysis of the global automotive light detection and ranging (LiDAR) industry, Frost & Sullivan recognizes Valeo with the 2022 Global Market Leadership Award for strengthening its global market presence with pioneering automotive 3D sensors. Valeo is a globally renowned company with 99 years of expertise in the automotive sector and one of the biggest automotive suppliers worldwide.
Click here to view the full multimedia release: https://best-practices.frost.com/valeo/
Valeo’s advanced systems promote intuitive and effective driving, facilitating autonomous vehicle (AV) adoption. The company recently launched a new flagship product, SCALA®, which offers highly differentiated 3D sensing that enable superior autonomy, resolution, distance and speed measurement, pedestrian detection, and autonomous emergency braking, among other features.
“The company manufactures SCALA®, the automotive industry’s first commercial 3D LiDAR sensor for AV applications. Valeo SCALA® is a 3D mechanical scanning LiDAR sensor that offers a wide Field of View (FoV) of up to 145 degrees. Its AI-based integrated software detects, recognizes, and classifies static and dynamic objects up to a distance of 200 meters in all weather and lighting conditions,” said Kamalesh Mohanarangam, Research Manager at Frost & Sullivan. “Valeo’s sensor portfolio includes ultrasonic sensors, cameras, and radars, providing intelligent sensing solutions for advanced driver-assistance systems (ADAS) and autonomous applications.”
Valeo seeks to be a key player in the future of global mobility while addressing the current environmental and societal challenges. To this end, the company leverages its solid market position to work closely with automakers, new mobility players, and technology partners and meet customer demands with breakthrough solutions that improve driving-assistance systems, telematics, lighting setup, interior control software, and much more.
The company is committed to research and development and has 63 research centers working to create cutting-edge, advanced technologies at industry-standard costs. To date, Valeo’s strategy of innovating forward-looking products enabled it to maintain its market leadership and the company is expected to continue leading the LiDAR industry in the long term.
“Valeo’s growth strategy focuses on innovation in solutions and market expansion in high-growth countries. The company positions itself as a technology company for electric and AV applications and has solidified its market leadership by equipping one-third of global electric and AV volumes with innovative solutions,” noted Mohanarangam. “With innovation as its key growth strategy, Valeo will strengthen its global market presence and extend its solution offerings in the electric and AV market.”
Each year, Frost & Sullivan presents this award to the company that has developed an innovative element in a product by leveraging leading-edge technologies. The award recognizes the value-added features/benefits of the product and the increased ROI it offers customers, which, in turn, raises customer acquisition and overall market penetration potential.
Frost & Sullivan Best Practices awards recognize companies in various regional and global markets for demonstrating outstanding achievement and superior performance in leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analyses, and extensive secondary research to identify best practices in the industry.

Peace

Hi SG,

I think this is unalloyed good news.

In 2019, a paper was published by Valeo on the subject of SNNs:

https://arxiv.org/abs/1903.02080

Exploring Deep Spiking Neural Networks for Automated Driving Applications
Sambit Mohapatra1 , Heinrich Gotzig1 , Senthil Yogamani2 , Stefan Milz3 and Raoul Zollner ¨ 4

1Valeo Bietigheim, Germany
2Valeo Vision Systems, Ireland
3Valeo Kronach, Germany
4Heilbronn University, Germany
{sambit.mohapatra,heinrich.gotzig,senthil.yogamani,stefan.milz}@valeo.com, raoul.zoellner@hs-heilbronn.de

Keywords: Visual Perception, Efficient Networks, Automated Driving.

Abstract: Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, visual odometry, etc. The main flavors of neural networks which are used commonly are convolutional (CNN) and recurrent (RNN). In spite of rapid progress in embedded processors, power consumption and cost is still a bottleneck. Spiking Neural Networks (SNNs) are gradually progressing to achieve low-power event-driven hardware architecture which has a potential for high efficiency. In this paper, we explore the role of deep spiking neural networks (SNN) for automated driving applications. We provide an overview of progress on SNN and argue how it can be a good fit for automated driving applications.

...

[see Table 1]:
Finally SNNs can be queried for results anytime after the first spikes are produced at the output since information processing is not frame based (Rueckauer et al., 2017). Several implementations of deep SNNs on neuromorphic hardware such as SpiNNaker and BrainChip have demonstrated sensor applications that support this potential of SNNs.

Now we looked at Spinnaker a couple of weeks ago. Spinnaker is a warehouse full of ARM processors used for research, so I doubt that Valeo is using that in their SCALA Lidar ADAS system.

 

[Fact Finder]

Well there are those who want 80 cents. So who is selling down the share price those who want it to go to the $2.00 at least fair value or those who want 80 cents. Will they be happy with 80 cents if they achieve it and can sell it down further who knows as their greed and capacity for unconscionable manipulation knows no bounds. But as I have said the shares on the Brainchip bus go up and down. Up and down. Nothing like predicting something then making it happen then claiming to be Nostradamus.

At present only 1 percent of shares on issue have been traded today. It is not rocket science to understand that long term investors do not influence or control the price in any fashion when low volumes are being traded.

So it is just a question of time as it has been before and sentiment will change either here or overseas or both and buyers will move in again but with each opportunistic institutional purchase of the right kind at these levels the available shares for that bounce will reduce and the bounce will be higher again.

Puto has wound this spring tighter than it has ever been before considering what the 1,000 Eyes have revealed and what is in the pubic domain from Brainchip and its known customers and sure as night follows day the next price sensitive announcement of significance will release this spring.

This happy clapper will keep clapping the science and fundamentals of this company and those who manager it well beyond this next announcement and all the way to Mars and back.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

Hi SG,

I think this is unalloyed good news.

In 2019, a paper was published by Valeo on the subject of SNNs:

https://arxiv.org/abs/1903.02080

Exploring Deep Spiking Neural Networks for Automated Driving Applications
Sambit Mohapatra1 , Heinrich Gotzig1 , Senthil Yogamani2 , Stefan Milz3 and Raoul Zollner ¨ 4

1Valeo Bietigheim, Germany
2Valeo Vision Systems, Ireland
3Valeo Kronach, Germany
4Heilbronn University, Germany
{sambit.mohapatra,heinrich.gotzig,senthil.yogamani,stefan.milz}@valeo.com, raoul.zoellner@hs-heilbronn.de

Keywords: Visual Perception, Efficient Networks, Automated Driving.

Abstract: Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, visual odometry, etc. The main flavors of neural networks which are used commonly are convolutional (CNN) and recurrent (RNN). In spite of rapid progress in embedded processors, power consumption and cost is still a bottleneck. Spiking Neural Networks (SNNs) are gradually progressing to achieve low-power event-driven hardware architecture which has a potential for high efficiency. In this paper, we explore the role of deep spiking neural networks (SNN) for automated driving applications. We provide an overview of progress on SNN and argue how it can be a good fit for automated driving applications.

...

[see Table 1]:
Finally SNNs can be queried for results anytime after the first spikes are produced at the output since information processing is not frame based (Rueckauer et al., 2017). Several implementations of deep SNNs on neuromorphic hardware such as SpiNNaker and BrainChip have demonstrated sensor applications that support this potential of SNNs.

Now we looked at Spinnaker a couple of weeks ago. Spinnaker is a warehouse full of ARM processors used for research, so I doubt that Valeo is using that in their SCALA Lidar ADAS system.

Hi Dio

You deserve both Love and Fire for this reveal when tied together with the Valeo EAP, the statement of Peter van der Made about working with an OEM supplier in Europe on an implementation and the Former CEO Mr. Dinardo's now famous quote "We are finding a sweet spot with Lidar." You would need to have the intellect of an amoeba not to accept that Valeo is using AKIDA technology in its next generation Lidar and that Mercedes is not already a Valeo signed up AKIDA flag waving customer.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

"Alloyed meaning - complete and unreserved"

So Brainers @Diogenese has stated this link to Valeo is 'complete and unreserved good news' and there is no Ogre in sight, no footprints or even the faint whiff of Ogre in the breeze so I would say that Slade might well be right that it was time to pop the cork.

Those who have sold in fear should have had a plan. Pantene has never been a more appropriate word.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Stable Genius]

Hi SG,

I think this is unalloyed good news.

In 2019, a paper was published by Valeo on the subject of SNNs:

https://arxiv.org/abs/1903.02080

Exploring Deep Spiking Neural Networks for Automated Driving Applications
Sambit Mohapatra1 , Heinrich Gotzig1 , Senthil Yogamani2 , Stefan Milz3 and Raoul Zollner ¨ 4

1Valeo Bietigheim, Germany
2Valeo Vision Systems, Ireland
3Valeo Kronach, Germany
4Heilbronn University, Germany
{sambit.mohapatra,heinrich.gotzig,senthil.yogamani,stefan.milz}@valeo.com, raoul.zoellner@hs-heilbronn.de

Keywords: Visual Perception, Efficient Networks, Automated Driving.

Abstract: Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, visual odometry, etc. The main flavors of neural networks which are used commonly are convolutional (CNN) and recurrent (RNN). In spite of rapid progress in embedded processors, power consumption and cost is still a bottleneck. Spiking Neural Networks (SNNs) are gradually progressing to achieve low-power event-driven hardware architecture which has a potential for high efficiency. In this paper, we explore the role of deep spiking neural networks (SNN) for automated driving applications. We provide an overview of progress on SNN and argue how it can be a good fit for automated driving applications.

...

[see Table 1]:
Finally SNNs can be queried for results anytime after the first spikes are produced at the output since information processing is not frame based (Rueckauer et al., 2017). Several implementations of deep SNNs on neuromorphic hardware such as SpiNNaker and BrainChip have demonstrated sensor applications that support this potential of SNNs.

Now we looked at Spinnaker a couple of weeks ago. Spinnaker is a warehouse full of ARM processors used for research, so I doubt that Valeo is using that in their SCALA Lidar ADAS system.

Thanks Dio for the confirmation. I’ve been convinced for quite a while Brainchip is in Valero’s version 3 Lidar which is just one reason I have complete confidence in my investment. Just trying to allay the fears of others not so sure!

Of course I could be wrong: I rather humiliatingly only got 3/8 right in the NRL tips last week

Just got to wait until 2024 for the unveiling however I’m confident the returns will be huge and worth it regardless of what’s going on now!

Peace

 

[Fact Finder]

@TechGirl
Need a small favour. Do you have a screen shot of the five senses with Lidar Radar and one other slide used by the CEO Sean Hehir in his latest presentation?
FF

 

[robsmark]

Suspect it will move down to 50c range given they don't allow announcements of any kind. Running blind apart from speculative commentary.

See the down-rampers are starting to migrate.