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Taproot

Regular
For those that have not watched this before,
As Molly would say,
" Do yourselves a favour "
 
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Taproot

Regular
For those that have not watched this before,
As Molly would say,
" Do yourselves a favour "

Duy-Loan Le
Her 4 criteria for choosing a job.

 
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Getupthere

Regular

SHORT ARTICLE ON SOCIONEXT AFTER THEY PUBLICLY LISTED LAST YEAR, SOCIONEXT ARE ONE OF BRN'S CLOSET PARTNERS

Japanese IC designers staged their biggest IPO

Compiled by Liu Zhongyong/Comprehensive External Electricity Tuesday, January 17, 2023 9:20 AM Japanese chip designer Socionext's stock has nearly doubled since its initial public offering in October to become the best performer among recent new listings of similar size or larger, reflecting investors' bullish view of the company's unique business model. Socionext's share price has jumped 82 percent since it went public on October 12 to raise 76.8 billion yen ($602 million), Japan's biggest IPO last year, closing at 6,660 yen on the 16th. According to Bloomberg Rounding, Socionext posted its best performing stock in the first three months of new listings in nearly 20 years. Amid concerns about rising interest rates and high inflation, the IPO market is not in good shape, and Socionext has become a rare leader. SMBC Nikko Securities analyst Takeshi Hanaya reported this month that the company is expected to generate stable revenue and profit growth due to its "unique solutions from system design to production and quality management that meet the unique needs of customers." Socionext develops dedicated consumer, automotive, and industrial chips for customers. It has become a trend for enterprise customers to use dedicated chips, and Faraday, Sechip, and Creative Electronics are all competitors of Socionext. According to reports, in addition to the Japanese factory, Socionext has 60% of its products entrusted to Taiwanese manufacturers, TSMC and UMC are its suppliers, and last year announced a cooperation with TSMC to develop 5nm automotive chips. Socionext was founded in 2015 by the merger of the system-on-chip businesses of Fujitsu Semiconductor and Panasonic. [See original link]
One of only a few stocks that didn’t go backwards in the technology sector.

Beautiful partnership….Socionext and BRN.
 
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Labsy

Regular
For those that have not watched this before,
As Molly would say,
" Do yourselves a favour "

All I can say is WOW. This woman is such a treasure for our company. What an honour to have her on our team....
Congrats to Brainchip for securing this phenomenally intelligent and accomplished woman.
 
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I just had a thought - with all the lay offs happening at Google, Microsoft, Meta, Amazon etc there might be some high class people applying for any jobs going at Brainchip
Hi Teroni
I would think that all these companies are pruning the dead wood for the spring, as winter has been long and very cold with no growth.
With the warmth of spring comes new growth and hopefully fruit

Brainchip will bare fruit 🍎
I personally can’t wait to taste what the good weather will bring.
 
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Diogenese

Top 20
Retrenchments continue at Big Tech. One factor is that, during the pandemic, many significantly expanded their workforce to accommodate increased demand for on-line services.

One area which seems to be spared the cuts is AI.

The verge
https://www.msn.com/en-au/news/tech...sedgntp&cvid=522db5618b574626984d8463743b3899

More details come out on which departments saw layoffs at Google, Microsoft, and Amazon​

Story by Richard Lawler • 6h ago

Google’s decision to let go of 12,000 employees was only just announced on Friday, but it extended the recent trend of the “Big Tech” companies cutting jobs in previously unheard-of numbers, and now we’ve seen more reports about where those cuts happened.

The Information reports that at Google, layoffs spread through nearly every group, including projects like Chrome, Search, Android, and Google Cloud. Its sources said they affected people who’d previously received “high performance reviews” and some managers making anywhere from $500K to $1 million.

One area of the search and advertising giant that was “relatively unaffected,” however, was the Google Brain division run by Jeff Dean, the senior vice president of research and artificial intelligence. That’s the team developing the machine learning tech Google is already using in many areas. According to the New York Times, its work will also be applied to a number of products we’ll reportedly see at its I/O event in May, including tools to generate images, a YouTube green screen feature, and at some point this year, a chatbot version of its search engine.
Hi Teroni
I would think that all these companies are pruning the dead wood for the spring, as winter has been long and very cold with no growth.
With the warmth of spring comes new growth and hopefully fruit

Brainchip will bare fruit 🍎
I personally can’t wait to taste what the good weather will bring.
 
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hotty4040

Regular
Duy-Loan Le
Her 4 criteria for choosing a job.



A very inspiring individual, indeed. What a success story she tells, in both of these video's.

Thanks Taproot, there are a few attributes ( quite a few ) that Duy-Loan Le emanates, that are very familiar with the Brainchip development process, and just as intriguing.

Let's hope the forthcoming 4C breaks some of the boundaries ( albeit different ones ) that this amazing woman has in her life time.

Appreciate the favor T.

Akida Ballista >>>>>> BRAINCHIP - COME ON <<<<<< ( board )


hotty...
 
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Learning

Learning to the Top 🕵‍♂️
Happy Prosperous New Year to all.🧧🧧🧧

Wishing BrainChip Inc and all its Shareholders a Prosperous and Successful year.

Learning 🧧🧨🎆
 
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Boab

I wish I could paint like Vincent
Happy Prosperous New Year to all.🧧🧧🧧

Wishing BrainChip Inc and all its Shareholders a Prosperous and Successful year.

Learning 🧧🧨🎆
2023 is a year of the Water Rabbit, starting from January 22nd, 2023 (Chinese New Year), and ending on February 9th, 2024 (Chinese New Year's Eve). The sign of Rabbit is a symbol of longevity, peace, and prosperity in Chinese culture. 2023 is predicted to be a year of hope.
 
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stuart888

Regular
For those that have not watched this before,
As Molly would say,
" Do yourselves a favour "

For those like me that don't know all the details. Our leadership has improved substantially in the past 18 months.

I have been focused on 10000 fps, never closing video camera lens, and JAST 4-bit math! 👩‍🎓

https://brainchip.com/brainchip-appoints-duy-loan-le-to-its-board-of-directors/

1674351992623.png
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Was a quiet day so, ICYMI a brief summary of 2022 for Sifive to lead into the weekend. I do like the 100 customers bit.

SiFive Delivers Record Growth in 2022 with Fast-Growing Roster of New Customers and Products​

Highlights leadership in RISC-V and proven performance and power density benefits
San Jose, Calif., Dec. 13, 2022
– At the RISC-V Summit today, SiFive, Inc., the founder and leader of RISC-V computing, celebrated its impressive year of growth and technical achievements. In 2022 SiFive announced collaborations with some of the world’s largest chip companies and hyperscale datacenters, as the company has been laser-focused on expanding growth. Today SiFive has design wins with more than 100 customers, including 8 of the top 10 semiconductor companies, in applications including automotive, AR/VR, client computing, datacenter, and the intelligent edge. This year the company rolled out new products for a range of fast-growing and high-volume markets, including a comprehensive automotive portfolio, and expanded its presence globally. This momentum was recognized last week when SiFive was awarded the prestigious 2022 Most Respected Private Semiconductor Company Award by the Global Semiconductor Alliance GSA.
“This was a standout year for SiFive, as we collaborated with some of the biggest companies on the planet to tackle their unmet needs, shifted our portfolio and revenues from embedded to high performance RISC-V products that are shaking up the industry, and expanded our global footprint,” said Patrick Little, CEO and Chairman at SiFive. “With the fast-paced growth of SiFive and rapidly increasing demand for our products, and the overall growth of the RISC-V ecosystem, as we’ve said before, the future of RISC-V ‘has no limits’ as we take the company to new heights.”
SiFive has made incredible technical progress over the last year, rolling out several products with unparalleled compute performance and efficiency. The new SiFive Performance™ P670 and P470 RISC-V processors raise the bar for innovative designs in high volume applications like wearables, smart home, industrial automation, AR/VR, and other consumer devices. The company introduced its SiFive Automotive™ E6-A, X280-A, and S7-A solutions to address critical needs for current and future applications like infotainment, cockpit, connectivity, ADAS, and electrification. Plus, SiFive enhanced its popular SiFive Intelligence™ X280 processor IP to meet the accelerated demand for vector processing, especially for AI and ML applications.
The company has continued to deepen its collaborations and partnerships as it works to transform the future of compute and define what comes next. Through partnership with Microchip, SiFive is a part of NASA’s next generation High-Performance Spaceflight Computing (HPSC) processor, which delivers a 100x increase in computational capability to help propel next-generation planetary and surface missions. Additionally, the X280 processor with the new SiFive Vector Coprocessor Interface Extension (VCIX) is being used as the AI Compute Host to provide flexible programming in a leading datacenter. SiFive also announced its work with companies including BrainChip, Kinara (Deep Vision), Synopsys, and ProvenRun, as well as a broad set of OS, Software Tools, and EDA ecosystem processors for the SiFive Automotive Family of processors
Another big milestone for SiFive is the company’s partnership with Intel to spark innovation in high-performance RISC-V platforms. SiFive is supporting Intel Foundry Services (IFS) Innovation Fund’s goal to build innovative new multi-ISA computing platforms including RISC-V platforms optimized for Intel process technology. The IFS Innovation fund will support the creation of disruptive technologies to address modern computing challenges, with the Intel-SiFive collaboration aiming to extend the RISC-V ecosystem. At the show, the companies unveiled more details about the HiFive Pro P550 Development System (code named Horse Creek); this high-performance development system will enable the RISC-V ecosystem to productively create software when it is commercially available later in 2023.


Agreed @TopCat, I like the 100 customers part too! I'm pretty excited about what 2023 holds in store for the BrainChip and SiFive partnership and particularly excited to see what this might entail. 🤞☝️✊🐇


SiFive pm.png


ii am.png


Renesas am.png

Screen Shot 2023-01-22 at 12.57.21 pm.png


Screen Shot 2023-01-22 at 1.00.22 pm.png
 
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MDhere

Top 20
All I can say is WOW. This woman is such a treasure for our company. What an honour to have her on our team....
Congrats to Brainchip for securing this phenomenally intelligent and accomplished woman.
Absolutely a gem. This woman is a great asset and validation to what's taking shape. The pieces of the puzzle coming together. boomidy boom boom.
 
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Deadpool

Did someone say KFC
For those that have not watched this before,
As Molly would say,
" Do yourselves a favour "

Thanks Taproot, had a chance to watch this morning, Duy Loan Le, what a super star.
I read about her of coarse when it was announced that she will be joining the BrainChip board, but I didn't quite grasp
just how much of an outstanding individual she actually is. We are truly blessed to have her on team brain.
 
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Build-it

Regular
Agreed @TopCat, I like the 100 customers part too! I'm pretty excited about what 2023 holds in store for the BrainChip and SiFive partnership and particularly excited to see what this might entail. 🤞☝️✊🐇


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Hi Bravo,

Could this be what Ford have been tinkering away with.

Brainchip, Renases, SiFive = Ford

Just joining dots on a Sunday, I'm sure at some point Ford will make an announcement or do a Merc.

Edge Compute.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
BrainChip to the rescue methinks...

Self-driving EV computers like Tesla HW4 could generate climate change emissions to rival all data centers​

EV self-driving computers may increase climate emissions (image: Tesla) EV self-driving computers may increase climate emissions (image: Tesla)
The green EV credentials are under threat from a new MIT study that calculates future greenhouse gas emissions from vehicles with computers dedicated to autonomous driving tasks. Self-driving kits like Tesla's upcoming Hardware 4 upgrade could produce climate change emissions equal to or surpassing those of all current data centers combined if their power draw is not kept in check.
Daniel Zlatev, Published 01/20/2023 🇫🇷 🇪🇸 ...


While Tesla is preparing to release the Hardware 4.0 computer upgrade for its next Full Self-Driving Beta kit generation, MIT researchers are warning that cars equipped with autonomous driving chips may generate greenhouse gas emissions on par with the world's data centers. If 95% of the electric cars on the road by 2050 have some sort of autonomous driving capabilities with the respective chip and sensor paraphernalia, for instance, computational efficiency would need to double almost every year so as to keep the fleet's climate change emissions under the level of current data centers.
According to one of the study's authors Soumya Sudhakar, an MIT graduate student in aeronautics and astronautics:
If we just keep the business-as-usual trends in decarbonization and the current rate of hardware efficiency improvements, it doesn’t seem like it is going to be enough to constrain the emissions from computing onboard autonomous vehicles. This has the potential to become an enormous problem. But if we get ahead of it, we could design more efficient autonomous vehicles that have a smaller carbon footprint from the start.
In an example where a self-driving EV system comprises of ten cameras with neural network processing images from each, the car equipped with it would be making more than 21 million interferences per hour of driving. A billion such vehicles, or about two thirds of the current global fleet of cars, would create 21.6 quadrillion inferences in just an hour, or many times more than the whole of Facebook for a day with its data centers.
"We are hoping that people will think of emissions and carbon efficiency as important metrics to consider in their designs. The energy consumption of an autonomous vehicle is really critical, not just for extending the battery life, but also for sustainability," added Vivienne Sze, an associate professor at MIT's Department of Electrical Engineering and Computer Science.
The study of future autonomous driving system greenhouse gas emissions calculates that their computers would have to keep the power draw at not more than 1.2 kW in order to have some acceptable level of emissions throughout the life cycle of the car.
The solution that the MIT study's authors point out to, is making autonomous driving computers like Tesla's upcoming Hardware 4.0 even more specialized and the self-driving algorithms more efficient in terms of power consumption, without compromising vehicle safety.

 
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Xray1

Regular
25 of those years overlapped, if that makes sense, so let's reduce the 90 back down to 64 but thinking I'm still 30 when I see a very
good looking lady. :ROFLMAO::ROFLMAO::ROFLMAO:

Yes, but keep selling the story, we have a fantastic company and the more Australians who get to know about us and our brilliant
technology the better, as far as I'm personally concerned, we will always be Australian, thanks to Peter choosing our country to
develop and create his dream. (y)
Let's just for now stick to our 46,000 s/holders and soak up the s/price it brings well under the ASX radar for now .......... who know's what will happen when we have over one million s/holders on the register and there won't be enough shares to go round to fill their and future requirements.
 
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equanimous

Norse clairvoyant shapeshifter goddess
For those that have not watched this before,
As Molly would say,
" Do yourselves a favour "

She has the Charisma and confidence of Bruce lee. I had to take a sit back in my chair case she kicked my ass.

She appears to be on par with AMD CEO Lisa Su. Inspirational and great to see on the BRN board.
 
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Diogenese

Top 20
BrainChip to the rescue methinks...

Self-driving EV computers like Tesla HW4 could generate climate change emissions to rival all data centers​

EV self-driving computers may increase climate emissions (image: Tesla) EV self-driving computers may increase climate emissions (image: Tesla)
The green EV credentials are under threat from a new MIT study that calculates future greenhouse gas emissions from vehicles with computers dedicated to autonomous driving tasks. Self-driving kits like Tesla's upcoming Hardware 4 upgrade could produce climate change emissions equal to or surpassing those of all current data centers combined if their power draw is not kept in check.
Daniel Zlatev, Published 01/20/2023 🇫🇷 🇪🇸 ...


While Tesla is preparing to release the Hardware 4.0 computer upgrade for its next Full Self-Driving Beta kit generation, MIT researchers are warning that cars equipped with autonomous driving chips may generate greenhouse gas emissions on par with the world's data centers. If 95% of the electric cars on the road by 2050 have some sort of autonomous driving capabilities with the respective chip and sensor paraphernalia, for instance, computational efficiency would need to double almost every year so as to keep the fleet's climate change emissions under the level of current data centers.
According to one of the study's authors Soumya Sudhakar, an MIT graduate student in aeronautics and astronautics:

In an example where a self-driving EV system comprises of ten cameras with neural network processing images from each, the car equipped with it would be making more than 21 million interferences per hour of driving. A billion such vehicles, or about two thirds of the current global fleet of cars, would create 21.6 quadrillion inferences in just an hour, or many times more than the whole of Facebook for a day with its data centers.
"We are hoping that people will think of emissions and carbon efficiency as important metrics to consider in their designs. The energy consumption of an autonomous vehicle is really critical, not just for extending the battery life, but also for sustainability," added Vivienne Sze, an associate professor at MIT's Department of Electrical Engineering and Computer Science.
The study of future autonomous driving system greenhouse gas emissions calculates that their computers would have to keep the power draw at not more than 1.2 kW in order to have some acceptable level of emissions throughout the life cycle of the car.
The solution that the MIT study's authors point out to, is making autonomous driving computers like Tesla's upcoming Hardware 4.0 even more specialized and the self-driving algorithms more efficient in terms of power consumption, without compromising vehicle safety.

um ... but ... if the vehicles are powered by renewables?
 
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Tuliptrader

Regular
Duy-Loan Le
Her 4 criteria for choosing a job.


Thanks @Taproot for sharing.

Not only a phenomenal addition to the Brainchip team but also a phenomenal human being.

It's nice to see that ethics and business can successfully coexist.

TT
 
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