BRN Discussion Ongoing

[Quiltman]

Are we allowed to mention the contents of the NVISO newsletter that has just come out .... marked private & confidential ... but it's good news day for BrainChip !!

 

[Blazar85]

From the Nviso December 2022 company update:

Further, our partnership with BrainChip on neuromorphic computing is starting to bear fruit as potential
customers are now positively evaluating NVISO software running on next generation AI hardware which is
expected to translate into a growing blue-chip customer base in 2023. Additionally a Japan OEM will begin a
POC early 2023 as part of a larger project to adopt AI strategy and a second German Premium OEM will
likely begin in 2023 after positive evaluations of our current AI solutions for interior sensing and driver
monitoring

 

[hotty4040]

Rob telson in his email today mentioned about 60Ghz and 24Ghz smart radar solutions from Socionext. Well, the 24Ghz radar seems to align with Brianchip’s target market, blurb from Socionext's site below.

Socionext’s single-chip, low power, highly integrated, 24GHz radio-wave sensor has been specifically designed for IoT products, smart home applications, mobile devices, and industrial equipment. The SC1233 combines high levels of integration into a single IC package and incorporates a full CMOS based semiconductor design to help reduce power consumption and manufacturing costs. The sensor comes with embedded FFT and signal processing which reduces design resource requirements and costs for manufacturers who lack the experience or expertise in using radio-wave sensors.

"SC1240 Series radio-wave ranging sensors that use the 60GHz band with a built-in signal processing circuit for detecting the position and movement of a person with maximum accuracy. Sample shipments are scheduled for Q2 2022, and mass production in Q1 2023 “

Socionext’s radio wave sensors have also won the “Electronic product of the year “ at the British Engineering excellence awards.

Is that the LIFE OF BRAINCHIP, Brian....... Hope it'll be a long one..


hotty...

 

[M_C]

From the Nviso December 2022 company update:

Further, our partnership with BrainChip on neuromorphic computing is starting to bear fruit as potential
customers are now positively evaluating NVISO software running on next generation AI hardware which is
expected to translate into a growing blue-chip customer base in 2023. Additionally a Japan OEM will begin a
POC early 2023 as part of a larger project to adopt AI strategy and a second German Premium OEM will
likely begin in 2023 after positive evaluations of our current AI solutions for interior sensing and driver
monitoring

"Although revenue recovery from COVID has been modest, we have now invoiced Panasonic for the first payment towards licensing of the companion robot which is entering mass production. It is part of a key strategy on Panasonic’s part to move away from appliances to intelligent devices. Additionally, we have invoiced a large premium German automotive manufacturer for a pilot project regarding our advancements on a holistic platform for complex emotions including successfully passing a data security audit to process their internal data for AI development purposes. ected to translate into a growing blue-chip customer base in 2023. Additionally a Japan OEM will begin a POC early 2023 as part of a larger project to adopt AI strategy and a second German Premium OEM will likely begin in 2023 after positive evaluations of our current AI solutions for interior sensing and driver monitoring."

 

[Blazar85]

Our friends Nviso will be spruiking us at CES 2023

Product Development
Following on from our announcement of successful neuromorphic interoperability last summer, we will now
be announcing support for two new high performance AI Apps from its Human Behavior AI App catalogue,
Gaze and Action Unit Detection. We are making available a full SDK release for manufacturers looking to
mission critical human-interaction features meeting the most demanding performance, cost, and power
budgets. NVISO’s Neuro SDK running on the BrainChip platform will be demonstrated on the Socionext
stand at CES2023.

 

[Moonshot]

Display Controller Market to Touch Valuation of $56.13 Billion by 2028 | NVIDIA and AMD are Enjoying King’s Position in Market

Global display controller market was valued at USD 29.12 billion in 2021, and the market size is estimated to reach USD 56.13 billion by 2028, at a CAGR of 9.68% over the forecast period (2022-2028).Westford, USA, Oct. 18, 2022 (GLOBE NEWSWIRE) -- Display controller market has been witnessing...

finance.yahoo.com

Display controller market is estimated to be $56b uS by 2028

 

[mcm]

Our friends Nviso will be spruiking us at CES 2023

Product Development
Following on from our announcement of successful neuromorphic interoperability last summer, we will now
be announcing support for two new high performance AI Apps from its Human Behavior AI App catalogue,
Gaze and Action Unit Detection. We are making available a full SDK release for manufacturers looking to
mission critical human-interaction features meeting the most demanding performance, cost, and power
budgets. NVISO’s Neuro SDK running on the BrainChip platform will be demonstrated on the Socionext
stand at CES2023.

Excellent! Can only think that those selling BRN are not privy to the extraordinary research being carried out on this forum ... because just reading today's posts ... you'd be mad to part with a single share. I'm delighted to buy more at sub 70c. What a gift!

 

[jtardif999]

I guess SOCIONEXT were telling the truth in 2019 despite the complaints of the scumbag manipulators:

“We are excited to join BrainChip in the design, development and introduction of Akida,” said Noriaki Kubo, Corporate Executive Vice President of Socionext. “Bringing artificial intelligence to edge applications is a major industry development and a strategic application segment for Socionext. Socionext provides suppliers such as BrainChip with a large engineering solutions platform, ranging from integrated circuit design through final test and assembly, to bring high quality products to market efficiently.”

“We are extremely pleased to work with Socionext, one of the world’s leading SoC development and manufacturing teams,” said Louis DiNardo, CEO of BrainChip. “With the firm backing by such a preeminent partner, we are confident we will be supplying the world’s first complete AI Edge network solution.”

If you panic about the next 4C if it does not deliver income you do not deserve to be a Brainchip shareholder.

My opinion only DYOR
FF

AKIDA BALLISTA

I wonder if BrainChip and Socionext came to some arrangement regarding Socionext not having to pay a licence fee for the Akida IP and then quietly went about their business embedding the IP in these products. It would make sense to me that they might come to this kind of arrangement since at that time BrainChip needed help to produce the Akida hardware and may have added in a sweetener to confirm the partnership with Socionext to conceive Akida and tape out for silicon.

Socionext May also have said: ‘We‘ll make the tape out process cheaper for you if you give us access to embedding your IP in our products without having to pay a licence fee.’ Who knows?

 

[SERA2g]

Out of the NVISO company update, @Diogenese I'd be keen to know if you've looked at the neuromorphic technology being developed by Alexera AI and GrAI Matter Labs?

 

[Dhm]

So, in a couple of days we have discovered about Intel, and have had updates on both Socionext and NVISO. It doesn’t come much sexier than that.

 

[Deleted member 118]

So, in a couple of days we have discovered about Intel, and have had updates on both Socionext and NVISO. It doesn’t come much sexier than that.

 

[wilzy123]

 

[Townyj]

View attachment 24507

Ok ok calm down everyone.. we all knew this was going to happen..





Hahaha just kidding! PARTAAAY TIME!

 

[Bravo]

Well, I for one am getting a bit worried because my friends and I like to pull faces at each other in the car. It's just a "thing" we've developed over time which has turned into a bit of a competition I'm afraid. So my question is, what happens if NVISO's technology detects a human emotion it doesn't know how to classify? Do you think it brings the car safely to a stop and calls for emergency services to attend? Because that would be a bit embarrassing...

 

[Damo4]

My thoughts on the NVISO release:

We know we are working with Mercedes and this could extend to a link via NVISO for the monitoring and smart cabin features on the new head unit (1st German OEM).
My guess is the latest info we have now seen surrounding BMW with autonomous driving, monitoring etc is the 2nd German OEM.


Edit: Also the don't "name" the Japan OEM, yet the Brainchip segment is nested between two paragraphs mentioning Panasonic...smells like a duck no?

 

[Fact Finder]

ARM
EDGE IMPULSE
INTEL
ISL
MEGACHIPS
MERCEDES BENZ
MOSCHIPS
NASA
NUMEN
NVISO
PROPHESEE
RENESAS
SiFIVE
SOCIONEXT
VALEO

POLICE HAVE ADVISED THAT THE ABOVE NAMED ENTITIES ARE MEMBERS OF THE AKIDA CULT AND ARE LIKELY TO ATTRACT GENUINE RETAIL INVESTOR INTEREST.

CARE SHOULD BE TAKEN WHEN ESTABLISHING SHORT AND OR TRADING POSITIONS.

Seems like the Police were right Socionext is a cult member.

 

[HopalongPetrovski]

Well, I for one am getting a bit worried because my friends and I like to pull faces at each other in the car. It's just a "thing" we've developed over time which has turned into a bit of a competition I'm afraid. So my question is, what happens if NVISO's technology detects a human emotion it doesn't know how to classify? Do you think it brings the car safely to a stop and calls for emergency services to attend? Because that would be a bit embarrassing...



View attachment 24508

Classify this Nviso, you bitch!

 

[miaeffect]

Classify this Nviso, you bitch!

View attachment 24510

"Hey Akida"
"Can you classify my feeling?"

 

[overpup]

My thoughts on the NVISO release:

We know we are working with Mercedes and this could extend to a link via NVISO for the monitoring and smart cabin features on the new head unit (1st German OEM).
My guess is the latest info we have now seen surrounding BMW with autonomous driving, monitoring etc is the 2nd German OEM.


Edit: Also the don't "name" the Japan OEM, yet the Brainchip segment is nested between two paragraphs mentioning Panasonic...smells like a duck no?

socionext is part owned by Panasonic (and Fujitsu i think?)

 

[Diogenese]

Out of the NVISO company update, @Diogenese I'd be keen to know if you've looked at the neuromorphic technology being developed by Alexera AI and GrAI Matter Labs?

Hi Sera,

I flagged graiMatter a couple of years ago as one to watch.

This article discusses the different tech approaches of graiMatter and Akida:


Spiking Neural Networks: Research Projects Or Commercial Products?

Opinions differ widely, but in this space that isn’t unusual.

MAY 18TH, 2020 - BY: BRYON MOYER

https://semiengineering.com/spiking-neural-networks-research-projects-or-commercial-products/


Temporal coding is said by some to be closer to what happens in the brain, although there are differing opinions on that, with some saying that that’s the case only for a small set of examples: “It’s actually not that common in the brain,” said Jonatha Tapson, GrAI Matter’s chief scientific officer. An example where it is used is in owl’s ears. “They use their hearing to hunt at night, so their directional sensitivity has to be very high.” Instead of representing a value by a frequency of spikes, the value is encoded as the delay between spikes [ # rate coding #]. Spikes then represent events, and the goal is to identify meaningful patterns in a stream of spikes.

…

Temporally coded SNNs can be most effective when driven by sensors that generate temporal-coded data – that is, event-based sensors. Dynamic vision sensors (DVS) are examples. They don’t generate full frames of data on a frames-per-second basis. Instead, each pixel reports when its illumination changes by more than some threshold amount. This generates a “change” event, which then propagates through the network. Valentian said these also can be particularly useful in AR/VR applications for “visual odometry,” where inertial measurement units are too slow.

…

Meanwhile, BrainChip started with rate coding, but decided that wasn’t commercially viable. Instead, it uses rank coding (or rank-order coding), which uses the order of arrival of spikes (as opposed to literal timing) to a neuron as a code. This is a pattern-oriented approach, with arrivals in the prescribed order (along with synaptic weighting) stimulating the greatest response and arrivals in other orders providing less stimulation.

…

All of these coding approaches aside, GrAI Matter uses a more direct approach. “We encode values directly as numbers – 8- or 16-bit integers in GrAI One or Bfloat16 in our upcoming chip. This is a key departure from other neuromorphic architectures, which have to use rate or population or time or ensemble codes. We can use those, too, but they are not efficient,” said Tapson.

…

The [ # BrainChip #] neural fabric is fully configurable for different applications. Each node in the array contains four neural processing units (NPUs), and each NPU can be configured for event-based convolution (supporting standard or depthwise convolution) or for other configurations, including fully connected. Events are carried as packets on the network.

While NPU details or images are not available, [ # WO2020092691 published 20202507 # ] BrainChip did further explain that each NPU has digital logic and SRAM, providing something of a processing-in-memory capability, but not using an analog-memory approach. An NPU contains eight neural processing engines that implement the neurons and synapses. Each event is multiplied by a synaptic weight upon entering a neuron.

According to this article, GraiMatter are not using SNNs. From their choice of 8 bit or 16 bit integers/FP I assume they need a MAC matrix circuit to process weights and activations, as in CNN. This is not a sparse process, as every bit must be processed. hence GraiMatter would use more power and would be slower than Akida.

GraiMatter's assertion that "other neuromorphic architectures, which have to use rate or population or time or ensemble codes." does not apply to Akida, which uses rank coding, from which Simon Thorpe'se N-of-M code is derived. This is based on the discovery that the strongest signals trigger retinal receptors and pixels earlier than weaker signals. Most of the information is carried in the earlier arriving spikes, and the later-arriving spikes can be discarded. When you think about it, this is quite like how the DVS/event camera works. N-of-M coding uses the order of arrival, and does not need to track the time of arrival. It just counts the first N spikes and closes the gate.

GraiMatter uses 8 bit or 16 bit precision mathematics, whereas Akida uses inference based on probability. You may recall that some demonstrations of Akida show a bar chart with the probabilities of the subject item being one of a number of different articles, eg, dog, cat, parrot, elephant. Akida does the comparison and selects the one which is the best fit. Of course, the model libraries are much larger than that.

I find this an amazing leap of imagination, to conceive that such a process could be implemented in silicon, and N-of-M is pretty clever too.