BRN Discussion Ongoing

cosors

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just for interest and from a walk, so with phone in short
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Frangipani

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View attachment 59831

Musk would surely be an excellent catch for IFS. This superrich entrepreneur has fingers in many tech pies that are highly reliant on processors, lots of state-of-the-art processors. Musk's firms buy AI accelerators from both AMD and Nvidia, for tasks like machine learning, computer vision, self-driving, Grok, and more, but the firm is also developing its own Dojo ASICs (Application-Specific Integrated-Circuits) with new generations in development.


Tata Electronics wins Tesla deal to supply semiconductor chips: Report​

The deal between Tata Electronics and Tesla to supply semiconductor chips was quietly signed a few months back.


India Today Business Desk
India Today Business Desk
New Delhi,UPDATED: Apr 15, 2024 12:11 IST
Written By: Sonu Vivek


Tesla has signed a strategic deal with Tata Electronics to obtain semiconductor chips for its global operations, reported The Economic Times.

The deal, which was quietly signed a few months back, holds importance as it puts Tata Electronics in the spotlight as a dependable supplier for major global clients eyeing a crucial part of their semiconductor setup in India.

US-based Tesla is eyeing India, known as the world's fastest-growing major car market. This development suggests the electric carmaker's growing interest in India.

Elon Musk is coming to India later this month to meet with Prime Minister Narendra Modi. It is anticipated that Musk might reveal his plans for potential investments in India, including putting money into making electric vehicles (EVs).

Both Tesla and Tata Electronics, the front-runner in the Tata group's semiconductor venture, have not confirmed the news and hence the exact value of the deal and other specifics remain under wraps for now.

Ashok Chandak, head of India Electronics and Semiconductor Association (IESA), said that Tesla's move to rope in local suppliers for electronics and subsystems indicates it's not banking solely on one market. The main concern revolves around getting local semiconductor sources right.

“This needs improvement in the supply chain as value addition for the industrial and automotive segments is much higher,” Chandak told The Economic Times.

Though the numbers might differ, most experts estimate Tesla could pour in at least $2-3 billion into India to make electric cars, which are gradually gaining traction in the local market.

Recent changes in policies have made it easier for carmakers to bring in EVs valued at $35,000 or above with a reduced import duty of 15%. But there's a catch: they need to pledge $500 million within three years to start making cars in India. Tesla might initially focus on high-end electric models tailored with fancy features for the Indian market.

Most experts think Tesla might invest $2-3 billion in India to make electric cars, which are slowly becoming more popular in the country.

Recent rule changes let carmakers bring in electric cars priced above $35,000 at a lower import tax of 15%. But they have to promise to invest $500 million within three years to make cars in India. Tesla might start with high-end electric cars for India and then make cheaper ones here.

Meanwhile, Tata Electronics has hired 50-60 top experts from abroad in recent months to boost its chip business.

Since Covid, Tesla has been looking for more places to get parts from, besides China. It makes some parts itself, like electric motors and batteries, but buys the rest from suppliers around the world.

Randhir Thakur, the head of Tata Electronics, has played a big role in getting these top experts on board. He used to work at Intel, a big chip company.

Thakur's long experience and contacts have helped him convince many top bosses from around the world to join Tata Electronics.

The company has chip-making factories in Tamil Nadu, Gujarat, and Assam, and plans to expand across India. It has already put in $14 billion and has a team with over 1,000 years of experience to run the project.


Published By: Sonu Vivek
Published On: Apr 15, 2024
 
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cosors

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Frangipani

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2022-Mar-29

ZF Acquires Stake in StradVision to Expand its Automated Driving Perception Software Portfolio​


  • Partnership strengthens ZF’s global ecosystem for automated driving Level 3 and Level 4 systems
  • Perception software enables features/functions to meet regulatory safety standards and automated driving needs
  • Perception suitable across a range of mobility applications

Friedrichshafen (Germany), Seoul (South Korea). Safe autonomous vehicles need to reliably detect and identify other road users, road markings or traffic signs, even in harsh weather conditions or poor lighting. High-performance software for recognizing the vehicle environment plays a central role in this.

ZF Acquires Stake in StradVision to Expand its Automated Driving Perception Software Portfolio


The technology company ZF has acquired a 6 percent stake in the South Korean software company StradVision, a pioneer in artificial intelligence based vision processing technology for autonomous vehicles and ADAS systems.

“The partnership with StradVision considerably extends our autonomous driving perception and sensor fusion capabilities,” said Marc Bolitho, head of Engineering of the Electronics and ADAS division at ZF Group. “Together with our sensors, middleware platform and high-performance computing solutions, this vision perception software expertise from StradVision can provide a key component of our environmental sensor fusion for shuttles, commercial and light vehicles that can be optimized for centralized electrical architectures.”

“We are proud to count ZF as one of our strategic investors,” said Junhwan Kim, CEO at StradVision. “Together with the global mobility specialist ZF, we will strive to speed up the market for autonomous driving with leading perception solutions.”

A safe eye on the vehicle’s environment
The StradVision software allows vehicles to detect and identify objects accurately, such as other vehicles, lanes, pedestrians, animals, free space, traffic signs, and lights, even in harsh weather conditions or poor lighting. 
The software relies on deep learning-based perception algorithms, which requires a relatively small amount of memory and has low power consumption. The software supports a wide variety of hardware platforms and can also be customized and optimized for other hardware systems.
The StradVision software is currently used in high volume models of ADAS and autonomous driving vehicles.

ZF as system provider for autonomous driving
Autonomous driving and vehicle software are among the strategic technology fields within the ZF product portfolio. ZF’s AD system solutions for the automotive and mobility sectors include high-performance computers such as the ZF ProAI, automotive software supporting ADAS and AD functions, sensors like camera, radar and LiDAR, and smart actuators.
 
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cosors

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asap is an engineering service provider.
 
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cosors

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ZF announced last year that they were dropping everything as far as I know. Maybe that's why the vehicle is standing around so openly.
But perhaps Hyundai and Strad Vision are continuing?
 
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IloveLamp

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IloveLamp

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TECH

Regular
Hi Tech,
I think the Accenture patent you brought to light is an Akida2 patent. The patent describes prediction as a major element in some of the use cases. Akida1 does not do prediction, I think the patent is indicative of Akida2 and the first patent that I’ve seen by one of our potential customers.

You are correct...a customer has next generation in, sounds as though Accenture's NDA door has been prized open a touch, I'm also
expecting https://www.digimarc.com/ to be revealed in the recycling (industrial) sector as well at some time, possibly later this year.

The above comments are a combination of fact and opinion.

Cheers....Tech.
 
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IloveLamp

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Tezza

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Will this mean revenue this qtr? Hope so
 
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GStocks123

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Hmm could the be us (urghh)


 
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AARONASX

Holding onto what I've got
Good morning all,

I wouldn't think this AI is directly referring to Akida, but related to other AI out there, but let's hope we are not been taken for a ride.

 
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Getupthere

Regular

TECH

iOS 18 AI features are rumored to be ‘on device.’ But there's a catch.

The iPhone maker continues to focus on privacy (where it can).

By now, you've likely heard that Apple is making big moves in the AI space in order to compete with competitors like Microsoft and Google. Its upcoming M4 chipset for its Macs and MacBooks is being built for AI. And, when it comes to mobile devices, the soon-to-be-released iOS 18 is going to have a heavy focus on AI, bringing new AI-powered capabilities to your iPhone.

According to Bloomberg's Apple insider Mark Gurman, Apple is looking to continue its privacy-focused ethos with its AI products, too — at least, where it can.

"As the world awaits Apple's big AI unveiling on June 10, it looks like the initial wave of features will work entirely on device," Gurman writes in his paid Power On newsletter (first highlighted by MacRumors). "That means there's no cloud processing component to the company's large language model, the software that powers the new capabilities."

SEE ALSO: iOS 18 rumors: Everything we know about the next big iPhone update

What does this mean?

Basically, Apple looks to be continuing its commitment to user privacy by making sure your data stays "on device." Most AI platforms do require that your data be sent to their cloud computer servers because generative AI models are usually extremely resource intensive. If Apple stays the course though, the company won't do that. Instead, it'll use the iPhone's processing power to handle its AI features, meaning your data never leaves your iPhone.

One problem here is that even newer iPhone models may struggle to handle some particularly intensive AI features. Some AI features may not be available on older iPhone models at all.

However, there does seem to be a catch here. Apple can only really fully commit to its user privacy standards for the products that it builds. Given that Apple is relatively behind in the AI race compared to its competitors, the company is looking to work with third-party companies in order to roll out its AI products sooner rather than later.

According to Gurman, Apple has discussed AI partnerships with OpenAI, Google, and even the China-based Baidu. iPhone owners utilizing iOS features powered by the cloud computing infrastructure of those companies will find that their data is being sent off of their device.

Apple is reportedly creating its own cloud infrastructure to handle AI work, but according to these reports, it doesn't seem like it will be ready in time for the big iOS 18 announcement. And that's where these third parties will likely come in.

Again, all of this information is subject to change, but Gurman's reporting is credible. Nothing will be set in stone, of course, until Apple makes these announcements and that will probably be at this year's WWDC in June.
 
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7für7

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toasty

Regular
Evening Diogenese ,

Wow , pretty sad when one of, if not the largest tech companys can't perfect such a system.

Human labour is cheap as apposed to purchasing tech which dose such things.

Regards,
Esq.
I think this indicates that some (many?) of the systems purported to be "AI" are nothing more than a fabrication designed to "catch the AI train". And I think that with heavyweights clearly involved in this kind of misdirection it sounds warning bells that they may prefer to promote workarounds rather than embrace new and revolutionary products (i.e. AKIDA), at least for the time being. The inertia of long held ideas has been a nagging concern for me for some time and I think this Amazon reveal shows there is good reason for that concern.
 
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7für7

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I think this indicates that some (many?) of the systems purported to be "AI" are nothing more than a fabrication designed to "catch the AI train". And I think that with heavyweights clearly involved in this kind of misdirection it sounds warning bells that they may prefer to promote workarounds rather than embrace new and revolutionary products (i.e. AKIDA), at least for the time being. The inertia of long held ideas has been a nagging concern for me for some time and I think this Amazon reveal shows there is good reason for that concern.
The market is looking for products that work, are reliable, fully utilize the cost-benefit factor, and are available in mass quantities without any problems at any time. If the product meets these requirements, all doors are open. If multiple products from different companies are available, the price and the demands of the respective customers for their own products determine the choice.

The AI market is still relatively new and is in the process of positioning itself. I wouldn't directly compare our technology, for example, with ChatGPT because they are different technologies. All we can do is observe. Thinking as an investor that you know how the rabbit runs in the AI business? That's overconfidence. Even those who work in the field and are CEOs don't know... just my humble investor opinion.
 
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Esq.111

Fascinatingly Intuitive.
Interesting listen.

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
View attachment 60890 View attachment 60891

This begs the following questions: Firstly, why does Nandan "like" this LinkedIn post and secondly, how has Google achieved such incredible performance and energy efficiency improvements using standard Arm cores? My hope is it's because they have used dedicated accelerators.

Axion is built using the Arm Neoverse™ V2 CPU. If I'm not mistaken Neoverse allows for third party IP integration and the incorporation of on-chip accelerators.

🥳 (hopefully)




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