BRN Discussion Ongoing

[Bravo]

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Ibrahim Sobh - PhD on LinkedIn: #naturallanguage #image #pointcloud #audio #video #infrared #hyperspectral…

📢 𝐌𝐞𝐭𝐚-𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫: 𝐀 𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐟𝐨𝐫 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, reveals the potential of transformer…

www.linkedin.com

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I'm impressed! But I must admit I have absolutely no idea what it all means!

 

[Fullmoonfever]

tinyML Hackathon 2023: Pedestrian Detection | tinyML Foundation

TinyML Summit. The topic is advances in ultra-low power Machine Learning technologies and applications.

www.tinyml.org

Really like the Q&A at the end of the BRN webinar with Nikunj.

Couple of interesting questions from the audience from about the 37 min mark.

I know we are sensor & OS agnostic I think it was said yeah?

It was asked if the PCI board could hook up with a NVIDIA Jetson TX1. Nikunj explains that it can and the GPU can offload neural inferencing accordingly.

Also goes on to say there is a new PCI Dev Kit for Intel OS as well.

Said there wasn't any real pre integration work with the other partners Sony & Infineon on this project but explains a little on how the sensor pre / post processing fusion works with Akida.

Nice real world use of Akida in sensor fusion.

 

[Dozzaman1977]

Sorry if this has already been posted and discussed on this forum.
Article from February this year
Great read, i have circled the interesting section (it is all interesting though)

Article "Mercedes EV rival to the Tesla Model 3 imagined by Sean Carson February 17th 2023 Automotive Daily"​

https://www.autodaily.com.au/mercedes-rival-to-the-tesla-model-3-imagined/

Quote from the journalist
"The new model will likely offer a widescreen digital dash and infotainment panel as part of the company’s target for its advanced graphical interfaces, but it’s the system behind the scenes that could be even more interesting.

Mercedes has experimented with a new type of processor that performs tasks in “neuromorphic spikes”. Put simply, this means that the computer stores up tasks and executes them in one go once a threshold is reached, saving energy and boosting driving range in the process."



https://twitter.com/intent/tweet?text=Mercedes+EV+rival+to+the+Tesla+Model+3+imagined&url=https://www.autodaily.com.au/mercedes-rival-to-the-tesla-model-3-imagined/&via=Automotive+Daily
https://pinterest.com/pin/create/bu...rcedes+EV+rival+to+the+Tesla+Model+3+imagined

 

[Diogenese]

Sorry if this has already been posted and discussed on this forum.
Article from February this year
Great read, i have circled the interesting section (it is all interesting though)

Article "Mercedes EV rival to the Tesla Model 3 imagined by Sean Carson February 17th 2023 Automotive Daily"​

https://www.autodaily.com.au/mercedes-rival-to-the-tesla-model-3-imagined/

Quote from the journalist
"The new model will likely offer a widescreen digital dash and infotainment panel as part of the company’s target for its advanced graphical interfaces, but it’s the system behind the scenes that could be even more interesting.

Mercedes has experimented with a new type of processor that performs tasks in “neuromorphic spikes”. Put simply, this means that the computer stores up tasks and executes them in one go once a threshold is reached, saving energy and boosting driving range in the process."


View attachment 40565
https://twitter.com/intent/tweet?text=Mercedes+EV+rival+to+the+Tesla+Model+3+imagined&url=https://www.autodaily.com.au/mercedes-rival-to-the-tesla-model-3-imagined/&via=Automotive+Daily
https://pinterest.com/pin/create/bu...rcedes+EV+rival+to+the+Tesla+Model+3+imagined

Takes a bit of the gloss off the Luminar deal:

So does that mean there will be more Valeo lidar-equipped Mercs?

 

[Tothemoon24]

Neuromorphic is becoming a buzz word in the tech space .​

my guess work has me thinking the rest of 2023 will see the mighty chip gain some serious market traction .

​

​

Is neuromorphic computing disruptive enough to 1) advance our understanding of the brain and 2) make the design and working of (bio)electronic devices efficient and scalable?​

Published online by Cambridge University Press: 25 May 2023
Samit Chakrabarty[Opens in a new window] and
Mihai A. Petrovici
Show author details

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Article
Currently reading: Abstract

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Cite Rights & Permissions[Opens in a new window]

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Extract​

Neuromorphic computing is an approach to computing that is inspired by the structure and function of the brain. In terms of basic research, it aims at improving our understanding of biological intelligence by replicating aspects of its physical substrate – spiking neurons, synaptic plasticity etc. – and harness them towards also replicating its function. With respect to technological advances, it aims to inherit the brain’s combination of computational prowess and extreme energy efficiency; this is thought to foster a plethora of applications, from large-scale neuromorphic systems for machine learning to small-scale edge devices for signal processing and control, for example in the form of wearables for healthcare or adaptive sensors/processors for autonomous agents. The demand and usefulness of neuromorphic computing in bioelectronics is likely to increase in the future as researchers continue to explore its capabilities and develop new applications.

---

Keywords​

neuromorphic

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TypeQuestion
Information
Research Directions: Bioelectronics , Volume 1 , 2023 , e5
DOI: https://doi.org/10.1017/bel.2023.5[Opens in a new window]
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright

 

[IloveLamp]

Neuromorphic is becoming a buzz word in the tech space .​

my guess work has me thinking the rest of 2023 will see the mighty chip gain some serious market traction .

​

​

Is neuromorphic computing disruptive enough to 1) advance our understanding of the brain and 2) make the design and working of (bio)electronic devices efficient and scalable?​

Published online by Cambridge University Press: 25 May 2023
Samit Chakrabarty[Opens in a new window] and
Mihai A. Petrovici
Show author details

---

Article
Currently reading: Abstract

Save PDF

Share

Cite Rights & Permissions[Opens in a new window]

---

Extract​

Neuromorphic computing is an approach to computing that is inspired by the structure and function of the brain. In terms of basic research, it aims at improving our understanding of biological intelligence by replicating aspects of its physical substrate – spiking neurons, synaptic plasticity etc. – and harness them towards also replicating its function. With respect to technological advances, it aims to inherit the brain’s combination of computational prowess and extreme energy efficiency; this is thought to foster a plethora of applications, from large-scale neuromorphic systems for machine learning to small-scale edge devices for signal processing and control, for example in the form of wearables for healthcare or adaptive sensors/processors for autonomous agents. The demand and usefulness of neuromorphic computing in bioelectronics is likely to increase in the future as researchers continue to explore its capabilities and develop new applications.

---

Keywords​

neuromorphic

---

TypeQuestion
Information
Research Directions: Bioelectronics , Volume 1 , 2023 , e5
DOI: https://doi.org/10.1017/bel.2023.5[Opens in a new window]
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright

 

[Jchandel]

New job ad for a verification engineer out 2 days ago with below key requirement:

- Knowledge of ARM based SoC architecture and system busses (AHB, AXI, APB) is strongly desired

https://www.theladders.com/job/asic-verification-engineer-brainchip-laguna-hills-ca_64334367

 

[IloveLamp]

 

[Tothemoon24]

Navigating the Future of Data Center Transformation: Key Trends and Strategies​

15 July 2023

Exploring the Future of Data Center Transformation: Key Trends and Strategies​

As we delve into the future of data center transformation, it’s clear that the landscape is evolving at an unprecedented pace. The advent of new technologies, coupled with the increasing demand for data, is driving significant changes in the way data centers are designed, managed, and operated. This article explores some of the key trends and strategies shaping the future of data center transformation.
Firstly, the rise of cloud computing is having a profound impact on data center transformation. More and more businesses are migrating their data and applications to the cloud, reducing the need for traditional, on-premise data centers. This shift is not only changing the physical architecture of data centers but also the way they are managed. Cloud-based data centers offer greater flexibility and scalability, allowing businesses to quickly adapt to changing needs and demands. However, this transition also presents new challenges in terms of data security and privacy, requiring innovative solutions and strategies.
Secondly, the increasing adoption of artificial intelligence (AI) and machine learning (ML) is revolutionizing data center operations. These technologies are being used to automate routine tasks, optimize resource utilization, and predict potential issues before they occur. For instance, AI can analyze patterns in data center operations to identify inefficiencies and suggest improvements. Similarly, ML can predict equipment failures based on historical data, enabling proactive maintenance and reducing downtime. These technologies are not only improving operational efficiency but also reducing the risk of human error, which is a significant factor in data center outages.
Thirdly, the growing emphasis on sustainability is influencing data center design and operation. Data centers consume a significant amount of energy, contributing to global carbon emissions. As a result, there is increasing pressure on businesses to reduce their environmental impact. This is leading to the adoption of energy-efficient technologies and practices, such as the use of renewable energy sources, advanced cooling systems, and energy-efficient servers. Additionally, businesses are exploring innovative strategies such as the reuse of waste heat from data centers for other purposes, further reducing their environmental footprint.
Lastly, the future of data center transformation is likely to be shaped by the emergence of edge computing. This technology involves processing data closer to its source, reducing latency and improving performance. As the Internet of Things (IoT) continues to expand, the demand for edge computing is expected to grow, leading to the development of smaller, localized data centers. This trend could significantly alter the data center landscape, requiring new strategies for data management and security.
In conclusion, the future of data center transformation is being shaped by several key trends, including the rise of cloud computing, the adoption of AI and ML, the emphasis on sustainability, and the emergence of edge computing. Navigating these trends requires a strategic approach, focusing on flexibility, efficiency, and innovation. As we move forward, businesses that can adapt to these changes and leverage new technologies will be best positioned to thrive in the evolving data center landscape.

 

[Xray1]

New job ad for a verification engineer out 2 days ago with below requirement:
- Knowledge of ARM based SoC architecture and system busses (AHB, AXI, APB) is strongly desired

https://www.theladders.com/job/asic-verification-engineer-brainchip-laguna-hills-ca_64334367

This job advert imo implies that there is definitely something within the pipe line works with ARM ..... why otherwise would BRN be so specific on know how of ARM architecture and systems requirements for this job.

 

[Tothemoon24]

View attachment 40571

@IloveLamp interesting that NVISO would repost this from sometime ago .

Tik tik

 

[Dougie54]

Saw this the other day, driving the kids home after school. My daughter said, "Dad, you should take a photo and post it on the forum that you're always reading".......

Perhaps a good omen and may the SP soon rise to $1.88.

View attachment 40552

Or $188.00 oooooeeeeeeeee

 

[Colorado23]

New job ad for a verification engineer out 2 days ago with below key requirement:

- Knowledge of ARM based SoC architecture and system busses (AHB, AXI, APB) is strongly desired

https://www.theladders.com/job/asic-verification-engineer-brainchip-laguna-hills-ca_64334367

Chapman, sounds like your up.

 

[macro]

To my understanding mobile eye is an Intel company. If that helps you.

Thanks for that rgupta.

Perplexity, is mobileye an intel company?

Answer

Yes, Mobileye is an Intel company. Intel acquired Mobileye in 2017 for $15.3 billion 1.

In December 2021, Intel announced its plan to take Mobileye's automotive unit public via an IPO of newly issued stock in 2022, maintaining its majority ownership of the company 2.

Mobileye went public on October 26, 2022, and Intel raised $861 million in the initial public offering 2.

Despite the IPO, Intel has said it will remain the majority owner of Mobileye and the two companies will continue as strategic partners 2.

Mobileye is a company that develops autonomous driving technologies and advanced driver-assistance systems (ADAS) including cameras, computer chips, and software 1. 4.

https://en.wikipedia.org/wiki/Mobileye 1

https://edition.cnn.com/2022/10/26/business/mobileye-ipo-intel/index.html 2

https://www.mobileye.com/about/ 3

https://www.mobileye.com/ 4

https://www.intel.com/content/www/us/en/newsroom/news/mobileye-news-oct-2022.html 5

https://www.intel.com/content/www/us/en/newsroom/resources/press-kits-autonomous-driving.html 6

 

[Xray1]

Just a reminder, that the 4C is due out sometime this week. Let's hope it shows a vast improvement compared to the last one of only $40,000.00 ..... I hope that at long last, that we are on the upward trend of this rather so called "Lumpy" financial cycle.

 

[Pmel]

Eric Feuilleaubois (Ph.D) on LinkedIn: BrainChip's Latest US Patent Award Extends Intellectual Property Strength…

BrainChip's Latest US Patent Award Extends Intellectual Property Strength and its Leadership in Edge Learning

www.linkedin.com

 

[cosors]

View attachment 40569

I am curious to see what Abbasi is working on and if he will stay with Brainchip because it is as exciting as he suspected and that is why he choosed Brainchip. In any case, his network is huge.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-327349

 

[Tothemoon24]

Forget ChatGPT! Neuromorphic Computing is the next big thing

Everyone is in awe of ChatGPT. It’s a great piece of tech.

www.linkedin.com

 

[Esq.111]

Good Morning Chippers ,

Been having a little ponder about the CONFIRMED list of engagements over the weekend.
* Thankyou Fact Finder for compiling & then getting a half straight response from the Co.

Of the 41 CONFIRMED ENGAGEMENTS.....

~ 5 are University's training the required workers / inventors to further neuromorphic tech & integration well into the future.

~ This leaves 36 companies using our tech with the end goal of a financial return to their bottom line.....& ours.

~ Of this group of 36 companies..... 7 companies fall within FORBES GLOBAL FORTUNE 2000 largest companies in 2023.

~ 5 of this group of 7 companies fall within the FORBES GLOBAL FORTUNE 500.

~ 7/ 36 = 19.4444% of our engagements are with the world's largest companies.

Now for some fun numbers....

COMPANIES, their FORTUNE 2000 No, & 2023 REVINUES.

1, FORD, No.124, Revinue USD$165,060,000,000.00
2, VALEO, No.1401, USD$21,060,000,000.00
3, RENESAS, No.685, USD$11,170,000,000.00
4, TATA Consulting Services, No.386, USD$28,050,000,000.00
5, INTEL, No.422, USD$56,420,000,000.00
6, GLOBAL FOUNDRIES , No.827, USD$8,110,000,000.00
7, MERCEDES BENZ, No. 42, USD$158,750,000,000.00

TOTAL REVINUE of above 7 Companies in 2023=
USD $448,590,000,000.00

*1% of above = USD$4,485,900,000.00

Soooooo...... If BrainChip Inc. Captured 0.25% (=1/400th) of the above Companies revinue =
USD$1,121,475,000.00

Divided by 1,888,885,028 total shares ( fully paid, performance rights, options, RSU ) as of 6th July 2023.

= USD$0.5937232 Per Share.

X Price to Earnings of 25 ( conservative in the tech sector ).

= USD$14.8431 Per Share.
Or
= AU$22.03885 Per Share ( Exchange rate as of 24th July 2023).

WOULD APPEAR WE ARE EXTREMELY UNDERVALUED PRESSENTLY.

.

The above numbers are loose , yet it makes my PRESSENT FAIR VALUE of $4.75 AU per share look quite ballenced, never mind DELOITTE 's price ( from one or two years ago ) guide of $8.00 AU .

Regards,
Esq.

 

[TECH]

New job ad for a verification engineer out 2 days ago with below key requirement:

- Knowledge of ARM based SoC architecture and system busses (AHB, AXI, APB) is strongly desired

https://www.theladders.com/job/asic-verification-engineer-brainchip-laguna-hills-ca_64334367

Good morning,

Looks highly likely that another top notch ARM employee will make the move over to Brainchip, that advert does in my opinion
suggest that we would like to poach one of your verification engineers, is that ok ? ....I mean, we're partners of sorts, aren't we ?

Akida II is more market-oriented, the below video (which is only short) may interest some as to the approach that the company is
currently taking.

Standby for the 4C later this week (maybe)



Have a positive week ahead....regards Tech