BRN Discussion Ongoing

[equanimous]

Mic drop.

 

[Fullmoonfever]

Part of the same research by the looks. Oct 22.

https://arxiv.org/pdf/2210.13107.pdf

Looks like this Team want to explore us a little further

Haven't looked into who or what ANR Project DeepSee is yet - that's where the grant is coming from

Evaluation of neuromorphic AI with embedded Spiking Neural Networks – LEAT

• DECEMBER 10, 2022
• COMMENTS OFF

Evaluation of neuromorphic AI with embedded Spiking Neural Networks​

Background
AI is proliferating everywhere even to embedded systems to integrate intelligence closer to the sensors (IoT, drones, vehicles, satellites ...). But the energy consumption of current Deep learning solutions makes classical AI hardly compatible with energy and resource constrained devices. Edge AI is a recent subject of research that needs to take into account the cost of the neural models both during the training and during the prediction. An original and promising solution to face these constraints is to merge compression technics of deep neural networks and event-based encoding of information thanks to Spiking neural networks (SNN). SNN are considered as third generation of artificial neural networks and are inspired from the way the information is encoded in the brain, and previous works tend to
conclude that SNN are more efficient than classical deep networks [3]. This internship project aims at confirming this assumption by converting classical CNN to SNN from standard Machine Learning frameworks (Keras) and deploy the resulting neural models onto the Akida neuromorphic processor from BrainChip company [4]. The results obtained in terms of accuracy, latency and energy will be compared to other existing embedded solutions for Edge AI [2].
Project mission
The project mission will be organized in several periods:

• Bibliographic study on spiking neural network training
• Introduction to the existing Sw framework from BrainChip
• Training of convolutional neural networks for embedded applications [1] and conversion from CNN to SNN from Keras
• Deployment of the SNN onto Akida processing platform
• Experiments and measurements
• Publication in an international conference.

References
[1] L Cordone, Miramond B, Thierion, Object Detection with Spiking Neural Networks on Automotive Event Data, IEEE International Joint Conference on Neural Networks (IJCNN), 2022[2] N Abderrahmane, Miramond B, Kervennic E, A Girard, SPLEAT: SPiking Low-power Event-based
ArchiTecture
for in-orbit processing of satellite imagery, IEEE International Joint Conference on Neural Networks, 1-10, 2022

[3] E Lemaire, L Cordone, A Castagnetti, PE Novac, J Courtois, B Miramond, An Analytical Estimation of Spiking
Neural Networks Energy Efficiency, Springer International Conference on Neural Information Processing, 2022[4] T. Álvarez-Sánchez, et al, Detection of facial emotions using neuromorphic computation, Applications of
Digital Image Processing, 2022

Practical information
Location : LEAT Lab / SophiaTech Campus, Sophia Antipolis
Duration : 6 months from march 2023
Grant : from ANR project DeepSee
Profile : Machine learning, Artificial intelligence, Artificial neural networks, Python, Keras, Pytorch
Research keywords : Spiking neural network, Edge AI, neuromorphic computing

Contact and supervision
Benoît Miramond, Andrea Castagnetti
LEAT Lab – University Cote d'Azur / CNRS
Polytech Nice Sophia
04.89.15.44.39. / benoit.miramond@univ-cotedazur.fr

Le LEAT – LEAT

leat.univ-cotedazur.fr

THE LEAT​

• Home/
• The LEAT

Presentation​

The Laboratory of Electronics, Antennas and Telecommunications (LEAT) is a Joint Unit Université Côte d'Azur – CNRS (UMR n°7248). It is located on the SophiaTech campus, which is a training and research center dedicated to Information and Communication Technologies (ICT) involving academic actors (UNS, INRIA, EURECOM, CNRS, Polytech'Nice Sophia, Mines Paris Tech, etc.), competitiveness clusters, numerous associations and technological platforms.

Management Team​

Director: Robert Staraj (PR, UCA)
Deputy Directors: Jean-Marc Ribero (PR, UCA) and François Verdier (PR, UCA)
Administrative Manager: Françoise Trucas (CNRS)

Research activities​

Research activities are carried out in the field of telecommunications, radar, e-health, security, smart buildings, earth observation, sustainable development, etc. They are organized into three themes: EDGE (Edge Computing and Digital Systems), CMA (Antenna Design and Modeling) and ISA (Microwave Imaging and Antenna Systems).

Environment​

LEAT participates in the activities of the main competitiveness clusters in the region. It is associated with the research program of the "Laboratory of Excellence" Labex UCN@Sophia. Among the partners with which the laboratory is associated, are present the two supervisory bodies (Nice Sophia Antipolis University and the CNRS), but also Eurecom, Inria and the I3S and LTCI laboratories. The Labex is part of the IDEX UCAJEDI.
The Centre de RErecherche Mutualisé sur les ANTennes (CREMANT), created in 2008, is a joint laboratory between the University of Nice Sophia Antipolis (now Université Côte d'Azur), the CNRS and Orange. It allowed the pooling of personnel and equipment between LEAT academic researchers and Orange Labs La Turbie engineers on common research topics (antenna integration, engineering for e-health, multisensor, MIMO and massive MIMO systems, antennas based on new materials, electromagnetic modeling).

Little more info on DeepSee....might notice a particular partner to the project you might have heard of?

https://explore.openaire.eu/search/project?projectId=anr_________::3dea75a2c00248c04b90d2a1cf1e57fa

https://explore.openaire.eu/search/organization?organizationId=pending_org_::7207237ff84d2f09835522cbe5cfe575

 

[Violin1]

Anyone recall the competition here that someone was running to giveaway BRN shares?

@Risefromtheashes
Rise - are you talking about the legendary @butcherano who ran the footy tipping comp last year?

 

[Fact Finder]

Firstly if others want to go back and check I warned against the euphoria that some greeted the admission of Brainchip into the ASX200. (I warned all at the time it would bring to the company a new level of short activity. I suggested this would not be good for the share price and short term investors.)

And it did.

Early in the HOT Ukraine war I warned that this war was going to crush economic activity in the EU, UK and as a result hurt the US at a time when it was flexing its muscles in a trade war with China.

And it did.

I also stated that all these Global storms would however work to Australia’s advantage. I said China needed Australia more than Australia needed China. I said that Europe & the UK needed Australia to fill in the energy gap left by Russia destroying for decades to come any thoughts that Europeans and British peoples had that Russia could be a reliable trading partner. I also pointed to the unsavoury fact that Brainchip would benefit from the resultant increase in military spending by the US and its allies.

And it did.

I said many times the lucky country would continue to prove it was the Economic Miracle.

And it did.

While Brainchip is an Australian born company like Atlassian it too is not a company that finds its success in Australia. As the CEO Sean Hehir said at the AGM shareholders need ‘to get their heads out of their backsides’ and accept that Brainchip is an international company. (He did not use ‘their heads out of their backsides’ line but this was his intent.) Brainchip’s future is international and as such it is subject to all the economic and trading headwinds that circulate in the international economy. It cannot shelter from these forces by hiding away in the economic miracle and become a technology giant. It has to go international.

And it did.

Against this background of increased short activity by ASX200 practitioners including activist shorts, global supply chain disruption, trade wars involving Russia, China, USA and Western countries Brainchip warned of a slow down in the markets it inhabits. Despite these factors Brainchip pushes to grow its ecosystem and increase its sales and marketing efforts across the globe.

And it did.

As for sales cycles I pointed firstly to Prophesee and Sony and it’s shortly to be released mass market vision sensor. Why because it is a perfect example of a neuromorphic product being sold to and developed by a non neuromorphic global company. The evidence is clear Prophesee and Sony commenced working together in 2020. It is now 2023. Time to market at least three years. Despite this great engagement Prophesee raised $50 million in capital late last year to keep the doors open. Substantial income clearly unlikely to start to flow from Sony to Prophesee before end 2023.

But it will.

Renesas announced by Brainchip as an IP purchaser 23.12.20. Renesas announces tape out of AKIDA powered chip just recently with mass production late 2023. Income will flow in 2024.

And it will.

Socionext VP of Sales committed to assisting Brainchip to commercialise the AKIDA product family and just a month or so before the full commercial release of the AKD1000 in 2021 Socionext commenced to promote AKD1000 at trade fairs using the AKD1000 engineering samples as demonstrators. In January, 2023 Socionext announced at CES that they have a range of AKIDA based automotive solutions for customer consideration.

And they are.

Mercedes Benz revealed they were working with Brainchip at CES2022 with vehicles coming to market in 2024 and Brainchip have stated they continue to work with Mercedes Benz to achieve this end.

And they will.

Nviso struggled to find traction in the market place for 11 years and now having discovered Brainchip’s AKIDA solution is finally able to realise its ambition.

And it will.

Prophesee was building a glass house until it was completed by Brainchip’s AKIDA after having first contact with Adam Osseiran 6 years ago is looking towards a commercial engagement.

And it will.

Intel, ARM & SiFive having been announced over 2022 are engaged in marketing Brainchip’s AKIDA solution along with Edge Impulse.

And they are.

MegaChips having first discovered Brainchip’s AKIDA technology solution in 2020 set about creating a section within its organisation of engineers trained in and dedicated to the use and implementation of the AKIDA technology solution and in late 2021 they with Brainchip announced the purchase of a full AKIDA IP licence and set about marketing AKIDA based solutions to their customer base.

And they do.

So just like the Little Red Hen who found some grain and wanted to make bread despite the criticism of the other animals in the barnyard who are lazy or ignorant and not prepared to suffer the hard work and delays involved in taking wheat through the process necessary to become bread Brainchip just keeps forging ahead in an industry where from first customer contact to product on shelf is three years plus and where paradigm shifting is slightly more difficult than alchemy.

My opinion only DYOR
FF

AKIDA BALLISTA

Apologies to the classically trained but I am reading to an audience of under 2 year olds where The Little Red Hen rules.

Now that a few of you have had time to read the above post and noticed the reference to Atlassian I recommend the following:
My opinion only DYOR
FF

AKIDA BALLISTA

Our Q1 FY23 letter to shareholders​

PUBLISHED NOVEMBER 3, 2022 IN COMPANY NEWS

SCOTT FARQUHAR
Co-Founder and Co-CEO

MIKE CANNON-BROOKES
Co-Founder and Co-CEO

CAMERON DEATSCH
Chief Revenue Officer

JOE BINZ
Chief Financial Officer
An update to customers, stakeholders, and shareholders on our mission to unleash the potential in every team.

prefer a PDF?​

No worries! Grab it here.
Fellow shareholders,
Atlassian’s mission to unleash the potential of every team advances ever onward, and Q1 was another momentous quarter of executing against our long-term initiatives. We announced a new subscription offering, launched a product into general availability, and held our first large-scale customer event focused on a single market, which got rave reviews from attendees. That said, companies in nearly every industry are facing headwinds, and we’re beginning to see the impact on our business.
In the spirit of our “Open company, no bullshit” value

, let’s start with the topic that’s top of mind for shareholders: macroeconomic impacts.

1. Last quarter, we shared that we saw a decrease in the rate of Free instances converting to paid plans. That trend became more pronounced in Q1.
2. This quarter, we started to see a slowing in the rate of paid user growth from existing customers.

To be clear, we’re not seeing any changes in our competitive position or in the inherent demand for our products. Looking across our customer base of 249,000+, there has been no overall decrease in usage or change in churn. The above two trends are the result of companies tightening their belts and slowing their pace of hiring. In other words, Atlassian is not immune to broader macro impacts. Our outlook assumes these trends will persist, but we’ll monitor, respond, and keep you updated accordingly.
Turbulent markets provide an opportunity to shake up the leaderboards, and we are poised to play offense in this environment. Buoyed by the secular tailwinds of digital and cultural transformation, Atlassian is incredibly well-positioned to capture additional share in each of our three massive markets – agile/DevOps, IT service management, and work management – and we’re working to do just that. In particular, we have huge opportunities in cloud migrations, serving enterprises, and ITSM – areas where we’ve already seen significant momentum and strong ROI. In the past year, migrations and enterprise deals in the cloud were both up more than 2x, and Jira Service Management added 10k customers.
We will focus our investments on strengthening our market position and scooping up top-tier talent in this environment. But we will balance these investments with the growth of our business and be responsive to macroeconomic conditions. So while we’re lowering our revenue outlook for FY23 based on macroeconomic headwinds, we are maintaining our mid-teens % operating margin outlook for the year. (For further detail, see the Fiscal 2023 Outlook section below.)
Despite the near-term instability in the world around us, we remain certain about the incredible long-term opportunities in front of Atlassian and our ability to capitalize on them. We’ve talked about having a line of sight to $10B in annual revenue. This hasn’t changed.
We have the right products, the right leaders, and the right strategies in place to come out of this downturn in an even stronger position. When obstacles emerge along the way, we’ll navigate around them as we always have: with vigilance, pragmatism, and agility.

 

[BaconLover]

I don't understand the hatred towards Tesla, must be an ego thing.

Tesla has done brilliant things, proof and evidence is on their balance sheets.
SpaceX is amazing and Twitter has never been better.
We cannot see the same success on Brainchip balance sheets yet, that's a fact.
I'm a firm supporter of Brainchip and wants it to be successful but when comparing to Tesla, who's the real show pony?

Sean is a clever CEO in my opinion.

LDN said 2021 will be the year of Brainchip.
Peter said 2022 Dec we will see things explode.

Sean is clever - he said watch the financials, but didn't say which year
Clever indeed.
Those who hid under the rocks when things were falling apart are now returning to tell other share holders how to dance to their tune.
Good luck with that.

 

[Diogenese]

Looks like this Team want to explore us a little further

Haven't looked into who or what ANR Project DeepSee is yet - that's where the grant is coming from

Evaluation of neuromorphic AI with embedded Spiking Neural Networks – LEAT

• DECEMBER 10, 2022
• COMMENTS OFF

Evaluation of neuromorphic AI with embedded Spiking Neural Networks​

Background
AI is proliferating everywhere even to embedded systems to integrate intelligence closer to the sensors (IoT, drones, vehicles, satellites ...). But the energy consumption of current Deep learning solutions makes classical AI hardly compatible with energy and resource constrained devices. Edge AI is a recent subject of research that needs to take into account the cost of the neural models both during the training and during the prediction. An original and promising solution to face these constraints is to merge compression technics of deep neural networks and event-based encoding of information thanks to Spiking neural networks (SNN). SNN are considered as third generation of artificial neural networks and are inspired from the way the information is encoded in the brain, and previous works tend to
conclude that SNN are more efficient than classical deep networks [3]. This internship project aims at confirming this assumption by converting classical CNN to SNN from standard Machine Learning frameworks (Keras) and deploy the resulting neural models onto the Akida neuromorphic processor from BrainChip company [4]. The results obtained in terms of accuracy, latency and energy will be compared to other existing embedded solutions for Edge AI [2].
Project mission
The project mission will be organized in several periods:

• Bibliographic study on spiking neural network training
• Introduction to the existing Sw framework from BrainChip
• Training of convolutional neural networks for embedded applications [1] and conversion from CNN to SNN from Keras
• Deployment of the SNN onto Akida processing platform
• Experiments and measurements
• Publication in an international conference.

References
[1] L Cordone, Miramond B, Thierion, Object Detection with Spiking Neural Networks on Automotive Event Data, IEEE International Joint Conference on Neural Networks (IJCNN), 2022[2] N Abderrahmane, Miramond B, Kervennic E, A Girard, SPLEAT: SPiking Low-power Event-based
ArchiTecture
for in-orbit processing of satellite imagery, IEEE International Joint Conference on Neural Networks, 1-10, 2022

[3] E Lemaire, L Cordone, A Castagnetti, PE Novac, J Courtois, B Miramond, An Analytical Estimation of Spiking
Neural Networks Energy Efficiency, Springer International Conference on Neural Information Processing, 2022[4] T. Álvarez-Sánchez, et al, Detection of facial emotions using neuromorphic computation, Applications of
Digital Image Processing, 2022

Practical information
Location : LEAT Lab / SophiaTech Campus, Sophia Antipolis
Duration : 6 months from march 2023
Grant : from ANR project DeepSee
Profile : Machine learning, Artificial intelligence, Artificial neural networks, Python, Keras, Pytorch
Research keywords : Spiking neural network, Edge AI, neuromorphic computing

Contact and supervision
Benoît Miramond, Andrea Castagnetti
LEAT Lab – University Cote d'Azur / CNRS
Polytech Nice Sophia
04.89.15.44.39. / benoit.miramond@univ-cotedazur.fr

Le LEAT – LEAT

leat.univ-cotedazur.fr

THE LEAT​

• Home/
• The LEAT

Presentation​

The Laboratory of Electronics, Antennas and Telecommunications (LEAT) is a Joint Unit Université Côte d'Azur – CNRS (UMR n°7248). It is located on the SophiaTech campus, which is a training and research center dedicated to Information and Communication Technologies (ICT) involving academic actors (UNS, INRIA, EURECOM, CNRS, Polytech'Nice Sophia, Mines Paris Tech, etc.), competitiveness clusters, numerous associations and technological platforms.

Management Team​

Director: Robert Staraj (PR, UCA)
Deputy Directors: Jean-Marc Ribero (PR, UCA) and François Verdier (PR, UCA)
Administrative Manager: Françoise Trucas (CNRS)

Research activities​

Research activities are carried out in the field of telecommunications, radar, e-health, security, smart buildings, earth observation, sustainable development, etc. They are organized into three themes: EDGE (Edge Computing and Digital Systems), CMA (Antenna Design and Modeling) and ISA (Microwave Imaging and Antenna Systems).

Environment​

LEAT participates in the activities of the main competitiveness clusters in the region. It is associated with the research program of the "Laboratory of Excellence" Labex UCN@Sophia. Among the partners with which the laboratory is associated, are present the two supervisory bodies (Nice Sophia Antipolis University and the CNRS), but also Eurecom, Inria and the I3S and LTCI laboratories. The Labex is part of the IDEX UCAJEDI.
The Centre de RErecherche Mutualisé sur les ANTennes (CREMANT), created in 2008, is a joint laboratory between the University of Nice Sophia Antipolis (now Université Côte d'Azur), the CNRS and Orange. It allowed the pooling of personnel and equipment between LEAT academic researchers and Orange Labs La Turbie engineers on common research topics (antenna integration, engineering for e-health, multisensor, MIMO and massive MIMO systems, antennas based on new materials, electromagnetic modeling).

LEAT Lab – University Cote d’Azur ...
tough work ... but someone's gotta do it!

 

[db1969oz]

I don't understand the hatred towards Tesla, must be an ego thing.

Tesla has done brilliant things, proof and evidence is on their balance sheets.
SpaceX is amazing and Twitter has never been better.
We cannot see the same success on Brainchip balance sheets yet, that's a fact.
I'm a firm supporter of Brainchip and wants it to be successful but when comparing to Tesla, who's the real show pony?

Sean is a clever CEO in my opinion.

LDN said 2021 will be the year of Brainchip.
Peter said 2022 Dec we will see things explode.

Sean is clever - he said watch the financials, but didn't say which year
Clever indeed.
Those who hid under the rocks when things were falling apart are now returning to tell other share holders how to dance to their tune.
Good luck with that.

 

[Diogenese]

Part of the same research by the looks. Oct 22.

https://arxiv.org/pdf/2210.13107.pdf

https://leat.univ-cotedazur.fr/2022...d-object-detection-with-bio-inspired-retinas/

Development of a prototype HW platform for embedded object detection with bio-inspired retinas​

Context
The LEAT lab is leader of the national ANR project DeepSee in collaboration with Renault, Prophesee and 2 other labs in neuroscience (CERCO) and computer science (I3S). This project aims at exploring a bio-inspired approach to develop energy-efficient solutions for image processing in automotive applications (ADAS) as explored by [3]. The main mechanisms that are used to follow this approach are event-based cameras (EBC are considered as artificial retinas) and spiking neural networks (SNN).
The first one is a type of sensor detecting the change of luminosity at very high temporal resolution and low power consumption, the second one is a type of artificial neural network mimicking the way the information is encoded in the brain. The LEAT has developed the first model of SNN able to make object detection on event-based data [1] and the related hardware accelerator on FPGA [2]. The goal of this internship project is to deploy this spike-based AI solution onto an embedded smart camera provided by the Prophesee company [4]. The camera is composed of an event-based sensor and an FPGA. The work will mainly consist in deploying the existing software code (in C) on the embedded CPU, integrate the HW accelerator (VHDL) onto the FPGA and make the communication between them through an AXI-STREAM bus. The last part of the project will consist in realizing experimentations of the resulting smart cameras to evaluate the real-time performances and energy consumption before a validation onto a driving vehicle.

 

[BaconLover]

View attachment 30209

 

[Damo4]

I don't understand the hatred towards Tesla, must be an ego thing.

Tesla has done brilliant things, proof and evidence is on their balance sheets.
SpaceX is amazing and Twitter has never been better.
We cannot see the same success on Brainchip balance sheets yet, that's a fact.
I'm a firm supporter of Brainchip and wants it to be successful but when comparing to Tesla, who's the real show pony?

Sean is a clever CEO in my opinion.

LDN said 2021 will be the year of Brainchip.
Peter said 2022 Dec we will see things explode.

Sean is clever - he said watch the financials, but didn't say which year
Clever indeed.
Those who hid under the rocks when things were falling apart are now returning to tell other share holders how to dance to their tune.
Good luck with that.

I'll dance to my own tune, or those provided by @Rise from the ashes as there's a few bangers

 

[BaconLover]

I'll dance to my own tune, or those provided by @Rise from the ashes as there's a few bangers

We can't forget contributions from @Esq.111 either

 

[Rise from the ashes]

 

[Tothemoon24]

Samsung Electronics’ World-Class 5nm Technology Selected by Ambarella for New Automotive AI Central Domain Controller​

Korea and USA on February 21, 2023
AUDIO Play/Stop
Share open/close

New CV3-AD685 System-on-Chip advances Autonomous and Advanced Driver Assistance System (ADAS) applications, providing single-chip solution for multi-sensor fusion and path planning​

▲ Integrated Ambarella CV3-AD685 system-on-chip built on Samsung Foundry’s 5nm technology

Samsung Electronics, a world leader in advanced semiconductor technology, and Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that Samsung’s Foundry business is providing its 5-nanometer (nm) process technology to Ambarella for its newly announced CV3-AD685automotive AI central domain controller. This collaboration will help transform the next generation of autonomous driving vehicle safety systems by bringing new levels of AI processing performance, power and reliability.

The CV3-AD685 is the first production version of Ambarella’s CV3-AD family of automotive AI central domain controllers with Tier-1 automotive suppliers announcing they will offer solutions using the CV3-AD system-on-chip (SoC) product family. Samsung’s 5nm process technology is optimized for automotive-grade semiconductors with extremely tight process controls and advanced IP for exceptional reliability and outstanding traceability.

Ambarella will rely on Samsung’s 5nm process maturity and the technology’s solid track record. This 5nm process is backed by the company’s extensive experience in automotive foundry process, IP and service package development to enable manufacturers to create cutting-edge innovations in assisted and automated mobility.

“Ambarella and Samsung Foundry have a rich history of collaboration, and we are excited to bring their world-class 5nm technology to our new CV3-AD685 SoCs,” said Fermi Wang, President and CEO at Ambarella. “Samsung’s proven automotive process technology allows us to bring new levels of AI acceleration, systems integration and power efficiency to ADAS and L2+ through L4 autonomous vehicles.”

The CV3-AD685 integrates Ambarella’s next-generation CVflow® AI engine, which includes neural network processing that is 20 times faster than the previous generation of Ambarella’s CV2 SoCs. It also provides general-vector and neural-vector processing capabilities to deliver the overall performance required for full autonomous driving (AD) stack processing, including computer vision, 4D imaging radar, deep sensor fusion and path planning.

“Samsung brings 5nm EUV FinFET technology to automotive applications for unprecedented ADAS and vision processor performance,” said Sang-Pil Sim, Executive Vice President and Head of Foundry Corporate Planning at Samsung Electronics. “With Tier-1 automotive suppliers already adopting the technology, we believe other automotive companies will also consider using the Ambarella CV3-AD SoC product family manufactured in Samsung’s 5nm process.”

The CV3-AD685 will be the first in the CV3-AD product family to use Samsung’s 5nm process, and this SoC integrates advanced image processing, a dense stereo and optical flow engine, ARM®Cortex® A78AE and R52 CPUs, an automotive GPU for visualizations, and a hardware security module (HSM). It features an “algorithm first” architecture that provides support for the entire autonomous-driving software stack.

The high-performance, power efficient and scalable CV3-AD family, which is built specifically for ADAS, complements a wide range of solutions for assisted driving while advancing vehicle automation. The integrated CV3-AD685 SoC enables information from various sensors to be fused for robust L2+ to L4 autonomous driving. Samsung Foundry’s industry-leading process technology and advanced 3D-packaging solutions are powering many of the latest mobile, HPC and automotive solutions.

Samsung’s 5nm process is also backed by the Samsung Advanced Foundry Ecosystem (SAFE™) program. The SAFE™ program ensures close collaboration between Samsung Foundry, ecosystem partners and customers to deliver robust SoC designs based on certified key design components including Process Design Kits (PDK), reference flows with Design Methodologies (DM), a variety of Intellectual Properties (IP), and on-demand design support.


About Ambarella
Ambarella’s products are used in a wide variety of human vision and edge AI applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving and robotics applications. Ambarella’s low-power systems-on-chip (SoCs) offer high-resolution video compression, advanced image and radar processing and powerful deep neural network processing to enable intelligent perception, fusion and planning. For more information, please visit www.ambarella.com.
AmbarellaSafeSamsung FoundrySemiconductorSoCSystem on Chip

• 

 

[JK200SX]

Would anyone with ChatGPT ask it the following question.
Who are the shareholders of AIZIP Inc.

Doing a bit of digging on AIZIP come up with this

aizip.com

The above sounds familiar, and considering they will be demonstrating AKIDA, there's perhaps a good chance that this "Volume shipped" product contains AKIDA.

(But I haven't been able to find who the shareholders are?)

 

[alwaysgreen]

Now that a few of you have had time to read the above post and noticed the reference to Atlassian I recommend the following:
My opinion only DYOR
FF

AKIDA BALLISTA

Our Q1 FY23 letter to shareholders​

PUBLISHED NOVEMBER 3, 2022 IN COMPANY NEWS

SCOTT FARQUHAR
Co-Founder and Co-CEO

MIKE CANNON-BROOKES
Co-Founder and Co-CEO

CAMERON DEATSCH
Chief Revenue Officer

JOE BINZ
Chief Financial Officer
An update to customers, stakeholders, and shareholders on our mission to unleash the potential in every team.

prefer a PDF?​

No worries! Grab it here.
Fellow shareholders,
Atlassian’s mission to unleash the potential of every team advances ever onward, and Q1 was another momentous quarter of executing against our long-term initiatives. We announced a new subscription offering, launched a product into general availability, and held our first large-scale customer event focused on a single market, which got rave reviews from attendees. That said, companies in nearly every industry are facing headwinds, and we’re beginning to see the impact on our business.
In the spirit of our “Open company, no bullshit” value

, let’s start with the topic that’s top of mind for shareholders: macroeconomic impacts.

1. Last quarter, we shared that we saw a decrease in the rate of Free instances converting to paid plans. That trend became more pronounced in Q1.
2. This quarter, we started to see a slowing in the rate of paid user growth from existing customers.

To be clear, we’re not seeing any changes in our competitive position or in the inherent demand for our products. Looking across our customer base of 249,000+, there has been no overall decrease in usage or change in churn. The above two trends are the result of companies tightening their belts and slowing their pace of hiring. In other words, Atlassian is not immune to broader macro impacts. Our outlook assumes these trends will persist, but we’ll monitor, respond, and keep you updated accordingly.
Turbulent markets provide an opportunity to shake up the leaderboards, and we are poised to play offense in this environment. Buoyed by the secular tailwinds of digital and cultural transformation, Atlassian is incredibly well-positioned to capture additional share in each of our three massive markets – agile/DevOps, IT service management, and work management – and we’re working to do just that. In particular, we have huge opportunities in cloud migrations, serving enterprises, and ITSM – areas where we’ve already seen significant momentum and strong ROI. In the past year, migrations and enterprise deals in the cloud were both up more than 2x, and Jira Service Management added 10k customers.
We will focus our investments on strengthening our market position and scooping up top-tier talent in this environment. But we will balance these investments with the growth of our business and be responsive to macroeconomic conditions. So while we’re lowering our revenue outlook for FY23 based on macroeconomic headwinds, we are maintaining our mid-teens % operating margin outlook for the year. (For further detail, see the Fiscal 2023 Outlook section below.)
Despite the near-term instability in the world around us, we remain certain about the incredible long-term opportunities in front of Atlassian and our ability to capitalize on them. We’ve talked about having a line of sight to $10B in annual revenue. This hasn’t changed.
We have the right products, the right leaders, and the right strategies in place to come out of this downturn in an even stronger position. When obstacles emerge along the way, we’ll navigate around them as we always have: with vigilance, pragmatism, and agility.

This is exactly the type of communication that many Brainchip shareholders have been calling for.

 

[Fact Finder]

Would anyone with ChatGPT ask it the following question.
Who are the shareholders of AIZIP Inc.

Hi @VictorG
I think given the further research of @JK200SX you probably have cracked it for a TSEx insider trading award for 2023.

Great research by genuine retail shareholders.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Baron Von Ricta]

No @Rise from the ashes I still enjoy a beer in a nice location. I will bring back the beer pics when we hit $5 and are all in full party mode.

Or out on Parole

 

[VictorG]

Doing a bit of digging on AIZIP come up with this

aizip.com

View attachment 30211

The above sounds familiar, and considering they will be demonstrating AKIDA, there's perhaps a good chance that this "Volume shipped" product contains AKIDA.

I hope so JK but I doubt it, at least for this shipment.
Actually the reason I wanted someone to ask ChatGPT this question " Who are the shareholders of AIZIP Inc" or similar questions is because I kept getting the following answers,
They are worthy of a full body laugh


Q: is AIZIP located in Silicon Valley


AIZip is a software tool developed by BrainChip, a company with offices and operations in several countries, including the United States. As of my knowledge cutoff in September 2021, BrainChip had an office in San Jose, California, which is located in the heart of Silicon Valley.
It's possible that AIZip is primarily developed and managed out of BrainChip's San Jose office, but without more specific information it's difficult to say for certain. It's worth noting that AIZip is a software tool that can be used by anyone with a compatible computer or device, and it's not tied to any specific physical location.


Q: who are the shareholders of AIZIP Inc


As far as I know, AIZip is not a standalone company, but rather a software tool developed by BrainChip Holdings Ltd, a publicly-traded company listed on the Australian Securities Exchange (ASX) under the ticker symbol "BRN". Therefore, the shareholders of AIZip would be the same as the shareholders of BrainChip Holdings Ltd.
The shareholders of BrainChip Holdings Ltd can include institutional investors, retail investors, and company insiders such as directors and executives. The specific shareholders of the company can change over time due to buying and selling of shares, as well as other corporate actions.
As an AI language model, I don't have access to real-time information about the current shareholders of BrainChip Holdings Ltd. However, the company is required to disclose its major shareholders to the ASX, and this information can be found on the ASX website or the company's official website under the "Investor Relations" section.



Q: when was aizip incorporated


As far as I know, AIZip is not a standalone company but rather a software tool developed by BrainChip Holdings Ltd, a publicly-traded company listed on the Australian Securities Exchange (ASX) under the ticker symbol "BRN". Therefore, AIZip was not incorporated as a separate entity and does not have its own incorporation date.
BrainChip Holdings Ltd was originally incorporated in the United States in 2011 as "Aziana Limited" and was later re-registered in Australia in 2015. The company has since expanded its operations and developed various AI technologies, including the Akida neuromorphic processor and AIZip. The specific date when AIZip was first released or made available is not known to me, but it appears to have been developed and released by BrainChip in recent years as part of its suite of AI tools and technologies.


Q: who is the ceo of aizip



As far as I know, AIZip is not a standalone company, but rather a software tool developed by BrainChip Holdings Ltd, a publicly-traded company listed on the Australian Securities Exchange (ASX) under the ticker symbol "BRN". Therefore, AIZip does not have its own CEO.
The CEO of BrainChip Holdings Ltd is currently Louis DiNardo, who was appointed to the position in 2016. DiNardo has a background in engineering and has held various executive positions in the technology industry, including serving as CEO of several other companies before joining BrainChip.
It's worth noting that AIZip is just one of several AI tools and technologies developed by BrainChip, and the company has a broader management team and staff who are involved in its development, marketing, and support.

 

[JK200SX]

I hope so JK but I doubt it, at least for this shipment.

It can still be the case. The volume shipment was announced 20th Dec 22, and depending on how payment invoicing occurs, it may not be seen as revenue by Brainchip yet. Being a first off deal, payment may be based on consignment, who knows.....But a month down the track now, some of that should be filtering through?

 

[VictorG]

It can still be the case. The volume shipment was announced 20th Dec 22, and depending on how payment invoicing occurs, it may not be seen as revenue by Brainchip yet. Being a first off deal, payment may be based on consignment, who knows.....But a month down the track now, some of that should be filtering through?

Anything is possible, particularly with Akida so I shouldn't be surprised,