Sean, as usual, was great in his presentation. Here are some notes that jumped at me:
Heavily engaged with a communications company - they don’t build chips, but may buy our IP and have chips built on their behalf.
We have the best kept secret. Next quarter we will begin to see moves on getting the word out in a loud and impactful way.
Watch the financials instead of waiting for BRN to talk about products. (Confidentiality!)
PCI boards: low 100s sold. Not our business model.
EAPs…virtually all still actively engaged.
7-8 years we will become the standard in edge Ai.
Not worried about financials. 19million in the bank.
My favorite…we will exit this year with around 100 head count…good scale and size to tackle the market…revenue growth will begin to outgrow expense growth. Sean and The Board have a line of sight to cash flow break even!
Let’s GO!
Great post and very accurate however I think it is important to point out that the $19 million was stated by the interviewer who took that number from the financials of the company before the most recent LDA Capital call.Sean, as usual, was great in his presentation. Here are some notes that jumped at me:
Heavily engaged with a communications company - they don’t build chips, but may buy our IP and have chips built on their behalf.
We have the best kept secret. Next quarter we will begin to see moves on getting the word out in a loud and impactful way.
Watch the financials instead of waiting for BRN to talk about products. (Confidentiality!)
PCI boards: low 100s sold. Not our business model.
EAPs…virtually all still actively engaged.
7-8 years we will become the standard in edge Ai.
Not worried about financials. 19million in the bank.
My favorite…we will exit this year with around 100 head count…good scale and size to tackle the market…revenue growth will begin to outgrow expense growth. Sean and The Board have a line of sight to cash flow break even!
Let’s GO!
Translation:
Tony saysSean, as usual, was great in his presentation. Here are some notes that jumped at me:
Heavily engaged with a communications company - they don’t build chips, but may buy our IP and have chips built on their behalf.
We have the best kept secret. Next quarter we will begin to see moves on getting the word out in a loud and impactful way.
Watch the financials instead of waiting for BRN to talk about products. (Confidentiality!)
PCI boards: low 100s sold. Not our business model.
EAPs…virtually all still actively engaged.
7-8 years we will become the standard in edge Ai.
Not worried about financials. 19million in the bank.
My favorite…we will exit this year with around 100 head count…good scale and size to tackle the market…revenue growth will begin to outgrow expense growth. Sean and The Board have a line of sight to cash flow break even!
Let’s GO!
OHHHH YEAHHHH BABY!
I have been thinking about the above post and the quote attributed to Mercedes Benz:
“Mercedes acknowledges that while neuromorphic computing is still in its infancy, it says similar systems will be available in a variety of consumer products within a few years”
Unless Mercedes Benz is the one using AKIDA technology in consumer products how can it possibly know this?
One answer might be that Brainchip disclosed to them the other EAP customers using the AKIDA technology in breach of the NDA's which seems entirely out of the question.
The only other plausible answer I can think of is that those who are partnered with Mercedes Benz in bringing the EQXX vehicle to life are definitely working with Brainchip and the knowledge of this became known as part of the EQXX development.
So which of these two possibilities seems the most likely keeping in mind that Brainchip's technology is unique, patent protected and 5 to 10 times more efficient according to Mercedes than any competitor in the Hey Mercedes key word space?
My opinion only DYOR
FF
AKIDA BALLISTA
The following LinkedIn account of this former Valeo now Qualcomm employee is very interesting particularly the following extracts as to what he did at Valeo and what he is doing at Qualcomm.If you have had the time to listen to Sean Hehir’s presentation then fresh in your memory should be the understanding that AKIDA technology is unique in the market place and it has ahead of all the world commercially mastered SNN computing.
With this in mind and probably another rocky day on the markets read the following and if you have time the whole paper from Valeo in 2019:
Exploring Deep Spiking Neural Networks for Automated Driving Applications
01/11/2019
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by Sambit Mohapatra, et al.
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Hochschule Heilbronn
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Valeo
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0
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share
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
In the words of the former CEO Mr. Dinardo it is “not if but when”.
In my opinion the answer to uncertain times is found in the science, the known facts and logic.
My opinion only DYOR
FF
AKIDA BALLISTA
Video interview with BrainChip CEO, Sean Hehir
Thanks FF.The following LinkedIn account of this former Valeo now Qualcomm employee is very interesting particularly the following extracts as to what he did at Valeo and what he is doing at Qualcomm.
My opinion only DYOR
FF
AKIDA BALLISTA
Experience
Principal Engineer
Qualcomm
Oct 2021 - Present7 months
Valeo
8 years 4 months
AI Architect for Automated Driving | Director level Technical Leader at Valeo
Jan 2019 - Oct 20212 years 10 months
Tuam, Galway, Ireland
▪ One of the 5 leaders in AI Strategy Committee created to define & drive the AI strategy across
the business group. Scope includes all aspects of automated driving and industrialization.
▪ Established extensive academic collaboration with the focus on using AI to impact our products,
including top universities like Freiburg University, Alberta University & Indian Institute of Science.
▪ Engaged in research beyond visual perception including ultrasonic perception, lidar perception,
fusion and reinforcement learning. Industry supervisor for 6 AI PhDs and 8 MS thesis.
▪ Impacted various product lines including interior cameras, ultrasonics & lidar for adoption of AI.
▪ Led the creation of the first fisheye camera dataset to encourage academic research (ICCV19
View attachment 4157 https://ie.linkedin.com › senthilyoga...
Senthil Yogamani - Principal Engineer - Qualcomm
Galway Metropolitan Area · Principal Engineer· Qualcomm
Principal Engineer at Qualcomm | AI Architect for Automated Driving ... Exploring Deep Spiking Neural Networks for Automated
It is interesting that the Brainchip slide that references the five senses in Sean Hehir’s presentation also lists ‘ultrasonics’ and in this fellows CV he includes during his time at ValeoThe following LinkedIn account of this former Valeo now Qualcomm employee is very interesting particularly the following extracts as to what he did at Valeo and what he is doing at Qualcomm.
My opinion only DYOR
FF
AKIDA BALLISTA
Experience
Principal Engineer
Qualcomm
Oct 2021 - Present7 months
Valeo
8 years 4 months
AI Architect for Automated Driving | Director level Technical Leader at Valeo
Jan 2019 - Oct 20212 years 10 months
Tuam, Galway, Ireland
▪ One of the 5 leaders in AI Strategy Committee created to define & drive the AI strategy across
the business group. Scope includes all aspects of automated driving and industrialization.
▪ Established extensive academic collaboration with the focus on using AI to impact our products,
including top universities like Freiburg University, Alberta University & Indian Institute of Science.
▪ Engaged in research beyond visual perception including ultrasonic perception, lidar perception,
fusion and reinforcement learning. Industry supervisor for 6 AI PhDs and 8 MS thesis.
▪ Impacted various product lines including interior cameras, ultrasonics & lidar for adoption of AI.
▪ Led the creation of the first fisheye camera dataset to encourage academic research (ICCV19
View attachment 4157 https://ie.linkedin.com › senthilyoga...
Senthil Yogamani - Principal Engineer - Qualcomm
Galway Metropolitan Area · Principal Engineer· Qualcomm
Principal Engineer at Qualcomm | AI Architect for Automated Driving ... Exploring Deep Spiking Neural Networks for Automated