BRN Discussion Ongoing

[SERA2g]

23 is my favourite number. If we were bought out for $23, I would definitely be building these (gaudy) front gates on my house!

View attachment 27382

They are Michael Jordans front gates btw. Money definitely doesn't buy class haha

I definitely consider $23 per share takeover for at least 5 minutes. Would toss a coin in the end.

$23 would get me a lambo but it wouldn't get me to the moon.

 

[kayaker]

While looking what the Chinese Tianjic chip is all about,which can work effectively with both ANN and SNN,I came across attached pdf which discusses a whole range of neural network chips including Akida.
It is quite educational and also pointing out where most of them fall short.

My apologies if attached article has been posted before.

 

[Rise from the ashes]

Ok now it's time for me to fully watch the latest podcast
Only managed to watch up to 1min 20.
Also avoided any comments about it here. So it's going to feel like a world premiere for me
And as usual I like to throw a bit of comedy in with my posts
Was chatting with my dog and out of nowhere he said he'd like to contribute to his upkeep. I was first shocked that he could speak but was curious how he could help support his lavish lifestyle.
He said he was applying for a job as Roofer.

 

[SERA2g]

The Valeo expert commeneted on the post stating "I can confirm that it is a long way to go but very promising". That doesn't fill me with any confidence that we will be in any Valeo products anytime soon.

Consider the context before you decide on how the statement impacts on your confidence in Valeo.

As per Markus' post on LinkedIn:

"The idea is not new, but trying to “put a brain on a chip” is a mammoth task. To put it into figures: the human brain has 86-100 billion neurons operating on around 20 watts. Current neural chips from leading developers such as BrainChip and Intel Corporation contain around 1 million neurons and consume roughly 1 watt of power."

Brainchip's akida is what many consider 'science fiction', yet it's 1 million neurons operating at 1 watt of power is only 0.001% of the human brain's 100 billion neurons.

There is still a long way to go in order to "put a human brain on a chip".

The good news though, Brainchip is one of the 'leading developers'.

Call me a glass-half-full kind of guy.

Edit: I'd like to expand on the glass-half-full comment.

Another way to think of Markus' post is as follows:

The Chief Technology Officer of Mercedes, a company at the cutting edge of automotive technology development, has just told you in plain written english that our small little 'meme-stock' start-up from modest beginnings here in Perth is rubbing shoulders with Intel, one of the worlds biggest technology company's, when it comes to the development and leadership in the field of neural chips.

If that doesn't fill you with confidence, I don't know what will.

 

[HopalongPetrovski]

Consider the context before you decide on how the statement impacts on your confidence in Valeo.

As per Markus' post on LinkedIn:

"The idea is not new, but trying to “put a brain on a chip” is a mammoth task. To put it into figures: the human brain has 86-100 billion neurons operating on around 20 watts. Current neural chips from leading developers such as BrainChip and Intel Corporation contain around 1 million neurons and consume roughly 1 watt of power."

Brainchip's akida is what many consider 'science fiction', yet it's 1 million neurons operating at 1 watt of power is only 0.001% of the human brain's 100 billion neurons.

There is still a long way to go in order to "put a human brain on a chip".

The good news though, Brainchip is one of the 'leading developers'.

Call me a glass-half-full kind of guy.

Journey of a Thousand miles begins with..........................AKIDA.

 

[chapman89]

Consider the context before you decide on how the statement impacts on your confidence in Valeo.

As per Markus' post on LinkedIn:

"The idea is not new, but trying to “put a brain on a chip” is a mammoth task. To put it into figures: the human brain has 86-100 billion neurons operating on around 20 watts. Current neural chips from leading developers such as BrainChip and Intel Corporation contain around 1 million neurons and consume roughly 1 watt of power."

Brainchip's akida is what many consider 'science fiction', yet it's 1 million neurons operating at 1 watt of power is only 0.001% of the human brain's 100 billion neurons.

There is still a long way to go in order to "put a human brain on a chip".

The good news though, Brainchip is one of the 'leading developers'.

Call me a glass-half-full kind of guy.

Edit: I'd like to expand on the glass-half-full comment.

Another way to think of Markus' post is as follows:

The Chief Technology Officer of Mercedes, a company at the cutting edge of automotive technology development, has just told you in plain written english that our small little 'meme-stock' start-up from modest beginnings here in Perth is rubbing shoulders with Intel, one of the worlds biggest technology company's, when it comes to the development and leadership in the field of neural chips.

If that doesn't fill you with confidence, I don't know what will.

But, but, but, I demand revenue now, none of that means anything

 

[equanimous]

But, but, but, I demand revenue now, none of that means anything

 

[cosors]

Good morning everyone.

Can we stop sharing Motley Fool articles here?

BRN holders share it everywhere and then we complain that picklebro writes non stop about Brainchip.

They get maximum exposure with Brainchip when holders write and discuss their articles constantly. They have every reason to write it because we create the buzz, make a platform and share it far and wide.

Stop posting their bs articles here and then the buzz goes away and they'll find another company.

This is my "soft" opinion only, you can continue to share it if you wish, thought I'd make the suggestion .

I have tried and asked here not to post it for the very reason of not giving them this platform for the first time. That did not work. But never give up hope. Hopefully it will work next for the first time!

 

[Rise from the ashes]

In the future I'll be posting Dumblilbro's articles about BRN across a wide range of financial sites. Obviously when that occurs BRN will be a raging financial successful company and Ficklemydicklebro's future articles will be printed and used as toilet paper for the future MF readership .

 

[Diogenese]

Perhaps we could open a new thread "Tales from The Crypt", where anyone so inclined could post whatever from the other place, and the rest of could ignore it, ... or not, ... as we choose.

 

[thelittleshort]

Consider the context before you decide on how the statement impacts on your confidence in Valeo.

As per Markus' post on LinkedIn:

"The idea is not new, but trying to “put a brain on a chip” is a mammoth task. To put it into figures: the human brain has 86-100 billion neurons operating on around 20 watts. Current neural chips from leading developers such as BrainChip and Intel Corporation contain around 1 million neurons and consume roughly 1 watt of power."

Brainchip's akida is what many consider 'science fiction', yet it's 1 million neurons operating at 1 watt of power is only 0.001% of the human brain's 100 billion neurons.

There is still a long way to go in order to "put a human brain on a chip".

The good news though, Brainchip is one of the 'leading developers'.

Call me a glass-half-full kind of guy.

Edit: I'd like to expand on the glass-half-full comment.

Another way to think of Markus' post is as follows:

The Chief Technology Officer of Mercedes, a company at the cutting edge of automotive technology development, has just told you in plain written english that our small little 'meme-stock' start-up from modest beginnings here in Perth is rubbing shoulders with Intel, one of the worlds biggest technology company's, when it comes to the development and leadership in the field of neural chips.

Has anyone hypothesised that Mercedes have paired us with Intel in order to “legitimise” the adoption of a breakthrough technology?

Intel would surely jump at the opportunity to get their hands on Akida in order to claim they had finally got Loihi to work

Mercedes Benz will sell the worlds best EVs. Intel would claim all the accolades but BrainChip would make a fortune in IP revenue

 

[TheUnfairAdvantage]

Ok now it's time for me to fully watch the latest podcast
Only managed to watch up to 1min 20.
Also avoided any comments about it here. So it's going to feel like a world premiere for me
And as usual I like to throw a bit of comedy in with my posts
Was chatting with my dog and out of nowhere he said he'd like to contribute to his upkeep. I was first shocked that he could speak but was curious how he could help support his lavish lifestyle.
He said he was applying for a job as Roofer.

If he gets his own ABN he could sub contract. He could then become a sub woofer.

 

[Rise from the ashes]

Perhaps we could open a new thread "Tales from The Crypt", where anyone so inclined could post whatever from the other place, and the rest of could ignore it, ... or not, ... as we choose.

I'd prefer the fleeting moments of piss taking than a permanent thread

 

[Evermont]

600 billion! Is that all?

View attachment 27380

PS : Sarcasm intended...

Automotive Artificial Intelligence Market to reach $600 Bn by 2032, Says Global Market Insights Inc.​

Global Market Insights Inc.
Wed, January 18, 2023 at 12:10 AM GMT+11·6 min read

Global Market Insights Inc.
Major automotive artificial intelligence market participants include BMW AG, IBM Corporation, Honda Motors, Volvo Car Corporation, AUDI AG, Ford Motor Company, Intel Corporation, NVIDIA Corporation, Tencent, Microsoft, Intel Corporation, Tesla Inc, and Uber Technologies, Inc.
Sarcasm intended..., Delaware,, Jan. 17, 2023 (GLOBE NEWSWIRE) --
The automotive artificial intelligence Market valuation is poised to surpass USD 600 billion by 2032, as reported in a research study by Global Market Insights Inc.
The growing adoption of AI in the automotive sector to mitigate risks and improve auto supply chain resiliency will boost the market growth. Due to supply-chain vulnerabilities, production shutdowns, and semiconductor shortages, businesses are adopting ML and AI-based systems to improve transparency and accurate prediction and to solve problems faster. In addition, the rising use of AI in car manufacturing is propelling the market revenue. Designers and development teams of automobile companies are using AI to offer extraordinary products and services and address the end user's expectations and convenience through AI and ML-driven customizations.

Request for a sample of this research report @ https://www.gminsights.com/request-sample/detail/3199
The hardware segment of the automotive AI market is set to witness over 55% CAGR between 2023 to 2032, due to the growing adoption of autonomous vehicles is enabling companies to develop innovative AI hardware such as the CPU, Application-Specific Integrated Circuit (ASIC), LiDAR sensors, Field Programmable Gate Array (FPGAs), GPU chips, and memory units. The leading global chip companies, including NVIDIA, Intel, and AMD, are creating new product lines to support the growing use of AI in the automotive sector.
Based on technology, the automotive artificial intelligence market from the context awareness segment is anticipated to attain nearly 50% gains between 2023 and 2032. With the help of context awareness technology, autonomous cars may use sensors to record the surroundings around them and respond in real-time to changing environment. The technology facilitates function customization while also requiring fewer user interactions. The rapid development of smart cities and the emerging need to create better transportation systems are poised to drive the market growth.

The image/signal recognition segment will hold approximately 60% of the automotive artificial intelligence market share by 2032. The image recognition process helps improve road safety for pedestrians and in-vehicle passengers. The rising deployment of image/signal recognition, such as computer vision systems in semi-autonomous vehicles to enhance the night vision mode to avoid any accidents at night, is set to influence the business growth.
The semi-autonomous application segment is predicted to expand at a CAGR of 90% till 2032. Semi-autonomous cars can operate autonomously utilizing a camera, sensors, and AI, although they still require human intervention in case of unforeseen circumstances. Leading manufacturers, including Tesla, Audi, and Cadillac, have already created semi-autonomous cars, and are taking initiatives to speed up the development of these vehicles from level 1 to level 3, resulting in a market demand for AI solutions for automotive applications.
The LAMEA automotive artificial intelligence market will cross USD 60 billion by 2032. The UAE's rapidly expanding autonomous automobile market will generate notable growth possibilities for AI technology providers owing to the abundance of smart cities, including Dubai and Abu Dhabi. Additionally, it is predicted that the growing investment in AI startups specializing in automotive applications will augment the market revenue.
Some of the leading companies operating in the automotive artificial intelligence market are BMW AG, IBM Corporation, Honda Motors, Volvo Car Corporation, AUDI AG, Ford Motor Company, Intel Corporation, NVIDIA Corporation, Tencent, Microsoft, Intel Corporation, Tesla Inc, and Uber Technologies, Inc. Several new developments and product range expansions by companies are anticipated to bring about lucrative growth to the market.
To cite an instance, in August 2022, a multinational technology company, NVIDIA, unveiled DRIVE THOR, a revolutionary autonomous driving technology that will incorporate assisted and automated driving, in addition to other digital features like in-car infotainment.
Secure a copy of the premium research report @ https://www.gminsights.com/securecheckout/paymenta/3199?gmpaycod=sugmp

Automotive Artificial Intelligence Market to reach $600 Bn by 2032, Says Global Market Insights Inc.

Major automotive artificial intelligence market participants include BMW AG, IBM Corporation, Honda Motors, Volvo Car Corporation, AUDI AG, Ford Motor Company, Intel Corporation, NVIDIA Corporation, Tencent, Microsoft, Intel Corporation, Tesla Inc, and Uber Technologies, Inc.Selbyville...

finance.yahoo.com

How about a good part of $210 trillion @Bravo

Below is the content of a TikTok featuring Cathie Wood talking about the impact of truly disruptive tech over the next 8-10 years.

“Invest aggressively right now. Capitalise on some of the most important investment opportunities of the last… really ever. We believe that the market cap associated with truly disruptive innovation will go from $7 trillion now (less than 10% of the global equity market cap) to $210 trillion in the next 8-10 years. That’s a 30-fold increase. That’s exponential growth and we’ve been doing the real research on disruptive innovation. We are ready for prime time in the five areas around which we have centered our research in investing: Multiomics (what we used to call the genomic revolution), robotics, energy storage, artificial intelligence and blockchain technology. But just let me leave you with one thought and hope, based on our research I think this is really possible.”

 

[Boab]

Sounds good for us?

2023 'is the year AI crosses the chasm,' but for one reason, John Chambers says

"This year is going to be tough," Chambers told MarketWatch. "However, I believe strongly that downturns are when the next generation of leaders can emerge."

www.marketwatch.com

 

[Diogenese]

Sounds good for us?

2023 'is the year AI crosses the chasm,' but for one reason, John Chambers says

"This year is going to be tough," Chambers told MarketWatch. "However, I believe strongly that downturns are when the next generation of leaders can emerge."

www.marketwatch.com

"Venture capitalist John Chambers is an eternal optimist, but even he admits 2023 could be “tough” for tech."

He's been reading my posts.

 

[equanimous]

"Venture capitalist John Chambers is an eternal optimist, but even he admits 2023 could be “tough” for tech."

He's been reading my posts.

copyrigjt infringement

 

[SharesForBrekky]

Sounds good for us?

2023 'is the year AI crosses the chasm,' but for one reason, John Chambers says

"This year is going to be tough," Chambers told MarketWatch. "However, I believe strongly that downturns are when the next generation of leaders can emerge."

www.marketwatch.com

"The ascendance of well-funded startups inevitably will hurt some of tech’s biggest players, some of whose reign is about to wind down."

It's Brainchip's time to shine!

 

[DollazAndSense]

Renesas’ New Automotive Intelligent Power Device Enables Safe and Flexible Power Distribution in Next-Generation E/E Architectures​

January 17, 2023 08:00 AM Eastern Standard Time
TOKYO--(BUSINESS WIRE)--Renesas Electronics Corporation (TSE: 6723), a premier supplier of advanced semiconductor solutions, announced today a new automotive Intelligent Power Device (IPD) that will safely and flexibly control power distribution within vehicles, addressing the requirements of next-generation E/E (electrical/electronic) architectures. The new RAJ2810024H12HPD is available in the small TO-252-7 package and reduces the mounting area by about 40% compared to the conventional TO-263 package product. In addition, the advanced current detection function of the new device allows highly accurate detection of abnormal currents such as overcurrent. Since the new IPD detects abnormal currents even at low loads, it allows engineers to design highly safe and precise power control systems that can detect even the smallest abnormalities.

"We are very pleased to launch a new generation of automotive IPDs featuring our new power MOSFET process,” said Akira Omichi, Vice President of Renesas' Automotive Analog Application Specific Business Division. “Renesas will continue to develop IPDs that improve the safety and reliability of power supply systems and facilitate system development for our customers by offering system-level solutions with our microcontrollers.”
The new IPD was developed to address the growing requirements as E/E architectures continue to evolve. In a conventional distributed E/E architecture, power supply from the battery is distributed to each Electronic Control Unit (ECU) via long, thick wires from a power box consisting of mechanical relays and fuses. IPDs have a longer life and are maintenance free compared to mechanical relays, so they can be placed anywhere in the vehicle. As the automotive industry moves toward centralized or zone-oriented E/E architectures, IPDs are becoming an ideal choice for building efficient and flexible power supply networks since they use shorter, thinner wires. Renesas’ IPD in particular provides a more efficient, safer and smaller solution for power distribution control.

Key Features of the New IPD (RAJ2810024H12HPD)

• Single-channel high-side IPD
• Small TO-252-7 package (6.10 x 6.50 mm: excluding pins)
• Low on-resistance (Ron) of 2.3mΩ at 25°C (typ.)
• Highly accurate current detection at low loads
• Built-in charge pump
• Self-diagnostic feedback by load current sense
• Protection functions such as load short-circuit, overheat detection, sense current output, and GND open protection
• Supports 3.3V/5V logic interface
• Low standby current
• Battery reverse connection protection with self-turn-on
• Compliant with AEC-Q100 and RoHS automotive standards

Availability

The RAJ2810024H12HPD is available today in sample quantities with mass production scheduled in Q1/2024

Renesas’ New Automotive Intelligent Power Device Enables Safe and Flexible Power Distribution in Next-Generation E/E Architectures

Renesas' new automotive Intelligent Power Device controls power distribution within vehicles, addressing the requirements of E/E architectures.

www.businesswire.com

Relevance to Brainchip? Absolutely nothing I assume. But the thing that stands out to me is addressing the requirements of next-generation E/E (electrical/electronic) architectures to control power distribution within vehicles. Mass production scheduled in Q1 2024. Perhaps a clue that production an Akida integrated Renesas product will be rolling out in a similar timeframe? Or maybe I've just had one too many beverages tonight and this is utter nonsense!

 

[Jasonk]

NASA Research Grants documentation for small business. NASA was playing around with brainchip hardware I thought?