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If ARM was an arm, BRN would be its biceps💪!

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Factbox: SoftBank-owned Arm courts Big Tech interest in its IPO​

Reuters
August 12, 20234:05 AM GMT+10Updated 8 hours ago



Here is a list of companies that could be anchor investors in the IPO -

Amazon.com (AMZN.O)Amazon Web Services, the internet giant's cloud business, makes its own processing chip called Graviton, using Arm's architecture.
Apple (AAPL.O)Arm licenses its technology to Apple to design chips used in its devices.
Intel (INTC.O)Intel Foundry Services and Arm announced a partnership in April to ensure that mobile phone chips and other products that use Arm's technology can be made in Intel's factories.
Alphabet (GOOGL.O)Alphabet's Google Cloud unit also uses computing chips based on Arm's technology in its machine learning, Android and compute engine service.
Microsoft (MSFT.O)Microsoft's Windows also runs on devices powered by Arm processors.
Taiwan Semiconductor Manufacturing Co (2330.TW)TSMC's partnership with Arm helps the chip contract manufacturer's customers design chips for devices and high-performance cloud data centers.
Samsung Electronics (005930.KS)Arm also sells its architecture and technology to Samsung for use in its chips for smartphones.
Nvidia (NVDA.O)Arm had said chip giant Nvidia's data center processor Grace was built using its Neoverse V2 design. Nvidia's plan to buy Arm in a deal worth $80 bln was shelved in February last year.


Compiled by Jaspreet Singh and Zaheer Kachwala in Bengaluru; Edited by Shounak Dasgupta



 

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HopalongPetrovski

I'm Spartacus!

View attachment 41846

Factbox: SoftBank-owned Arm courts Big Tech interest in its IPO​

Reuters
August 12, 20234:05 AM GMT+10Updated 8 hours ago


View attachment 41845




Anybody know if possible for us unwashed dregs of humanity types (aka unsophisticated investors) are able to get a direct stake in the ARM IPO?
Or will it all be controlled and manipulated to within an inch of its life and have all the cream syphoned off to go to the Broker boys?
Asking for a friend.🤣 Also, anyone need to buy some feet pics? My couches all tapped out atm.🤣
 
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Esq.111

Fascinatingly Intuitive.

View attachment 41846

Factbox: SoftBank-owned Arm courts Big Tech interest in its IPO​

Reuters
August 12, 20234:05 AM GMT+10Updated 8 hours ago


View attachment 41845




Good Afternoon Bravo ,

Love your work.

Looks like the ARM listing is gathering a little pace, and for good reason.

A few loose numbers..

If / when the above eight companies take a little slice of ARM , I would think ARM would have a market valuation around USD$70,000,000,000.00 to USD$85,000,000,000.01

One would imagine each of the above mentioned companies would pop atleast USD$5,000,000,000.00 each to gain some influence in ARM, shority of supply & influence.
That's the first $40 Billion sorted then add another $35 to $40 Billion from instos to retail.

Looking Good.

Regards,
Esq.
 
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Tothemoon24

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Techwatch: The latest tech innovations from Australia and beyond​



August 10, 2023

3 min read

A visible light experiment is used to demonstrate the chip’s capabilities. Image: RMIT University

A visible light experiment is used to demonstrate the chip’s capabilities. Image: RMIT University


Neuromorphic chips, robotic navigation and flexible sensors. Here are three of the latest tech innovations from across the world.​

Neuromorphic chip​

A chip developed by a team at RMIT Universitymimics human vision to capture visual information and classify it in a memory system.
Made from doped indium oxide, the technology is thousands of times thinner than a human hair and can process information without having to rely on external computation.
Such neuromorphic vision systems, which can adapt to new situations as they are presented, are superior to traditional systems that struggle to adjust to unexpected circumstances.
“Performing all of these functions on one small device had proven to be a big challenge until now,” said Professor Sumeet Walia.
“We’ve made real-time decision making a possibility with our invention, because it doesn’t need to process large amounts of irrelevant data and it’s not being slowed down by data transfer to separate processors.”
The team anticipates its device finding use in self-driving cars or for detecting space junk and operating in environments hostile to human workers.

Skin-like sensor​

The sensor is flexible enough to be adapted to surfaces as complex as a human finger. Image: Andreas Heddergott/TUM
The sensor is flexible enough to be adapted to surfaces as complex as a human finger. Image: Andreas Heddergott/TUM
An automatic process for creating soft sensors developed by engineers at Germany’s Technical University of Munich (TUM) has resulted in a “skin” that can be moulded into nearly any shape.
The material can be wrapped around any object — such as a human finger — and is designed to allow a prosthetic to realistically emulate the sensory and manipulative abilities of a real person.
The material is produced from a conductive black paste that is injected into liquid silicone; although the silicone hardens, the paste encased within it remains fluid.
“We use software to build the structure for the sensory systems,” said TUM’s Diego Hidalgo. “We then send this information to a 3D printer where our soft sensors are made.”
The sensors detect compression and stretching via changes to their electrical resistance that occur when they are squeezed.
The technology could be applied to advanced haptics for artificial intelligence, sophisticated interactions between humans and machines, and customisable wireless and sensor technology.

Underwater robotic navigation​

Sparus II, an autonomous underwater vehicle, was used to test the efficacy of reinforcement learning.
Sparus II, an autonomous underwater vehicle, was used to test the efficacy of reinforcement learning. Image: VICOROB
A collaboration between researchers in Spain and the US has shown that underwater robots can be trained to track marine objects using a neural network.
The technique, known as reinforcement learning, permits the robots to discover which actions they undertake are effective in permitting them to reach a goal.
In the research, a robot used acoustic techniques to determine the location of an object; by applying reinforcement learning, the neural network was able to determine the best position from which to take measurements.
“This type of learning allows us to train a neural network to optimise a specific task, which would be very difficult to achieve otherwise,” said Ivan Masmitjà of Barcelona’s Institut de Ciències del Mar and California’s Monterey Bay Aquarium Research Institute.
“For example, we have been able to demonstrate that it is possible to optimise the trajectory of a vehicle to locate and track objects moving underwater.”
 
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Tothemoon24

Top 20

Must be the mighty chip in action here 💪


Currently, Thales is working with Western Sydney University (WSU) to deliver an entirely sovereign sensor solution, the AstrositeTM. WSU developed the core intellectual property associated with the use of event-based sensing technology for Thales’s Space Domain Awareness (SDA) sensor capability. Astrosite uses neuromorphic vision sensors that mimic the way that humans detect and process visual input. They outperform existing optical sensor technology and have the potential to see what other sensors cannot. Testing reveals numerous technological advantages over conventional optical sensors, including:
 
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Foxdog

Regular

Must be the mighty chip in action here 💪


Better be hey, otherwise our minimum 3 year lead is a myth. All of a sudden it seems everyone is developing a 'neuromorphic' something or other at the moment.

Hard to find an AI article without 'neuromorphic' being mentioned. Either we're becoming ubiquitous in this field or the peloton is about to catch us before the finish line. Imo
 
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Learning

Learning to the Top 🕵‍♂️
Intresting interview with GlobalFoundries CEO. Especially from 2.50 minutes.



Screenshot_20230812_152655_Samsung Internet.jpg


Learning 🏖
 
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Neuromorphia

fact collector
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Learning

Learning to the Top 🕵‍♂️
I like this part...
GlobalFoundries CEO Dr. Thomas Caulfield "GlobalFoundries has the technologies that will do the inference at edge"

Happy Jimmy Fallon GIF by The Tonight Show Starring Jimmy Fallon
Happy Chris Pratt GIF by Parks and Recreation
Happy Hailee Steinfeld GIF by Pitch Perfect
Happy Very Funny GIF by Disney Zootopia
Happy Fresh Prince GIF by Nick At Nite
Happy Jonah Hill GIF
So Excited Flirting GIF
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Happy So Excited GIF

Yes Neuromorphia,

When Thomas said they have the technologies for 'inference at the edge'

It almost sound like, Thomas took it from Rob Telson or Nandan Nayampally text book, when they describing Akida technology 😎.

Learning 🏖
 
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Townyj

Ermahgerd
Yes Neuromorphia,

When Thomas said they have the technologies for 'inference at the edge'

It almost sound like, Thomas took it from Rob Telson or Nandan Nayampally text book, when they describing Akida technology 😎.

Learning 🏖
I like this part...
GlobalFoundries CEO Dr. Thomas Caulfield "GlobalFoundries has the technologies that will help do that inference at the edge"

Happy Jimmy Fallon GIF by The Tonight Show Starring Jimmy Fallon
Happy Chris Pratt GIF by Parks and Recreation
Happy Hailee Steinfeld GIF by Pitch Perfect
Happy Very Funny GIF by Disney Zootopia
Happy Fresh Prince GIF by Nick At Nite
Happy Jonah Hill GIF
So Excited Flirting GIF
Excited Seinfeld GIF
Happy Jennifer Aniston GIF
Happy So Excited GIF


Unless something is further linked with "Us" Global Foundries are working with Oculi through a strategic partnership to create an SPU.

Fingers crossed we Wooooed them more when they Fabbed our AKD1500

 
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Been thinking about the timeline, GF 22nm FDSOI, Renesas tapeout, Akida 1.5 tapeout, Minsky Ann.

Renesas has a licence for what they need apparently. 2 nodes from memory.

What we don't know is if the licence is all encompassing as to next iterations of Akida.

Eg. 2 nodes covers Akida 1.0 initially but has scope that it covers subsequent enhancements such as 1.5 then 2.0.

Renesas said they taping out in 22nm (GF?) In Dec. BRN late Jan Ann they taped out 1.5 in 22nm...past tense...when?..Dec?

Minsky Ann comes out straight after pretty much.

There was an article beginning of Feb where one paragraph caught my eye as to how to take the overall context when reading.

Just musing.


“So that’s kind of the plan that we have, to evolve that into that landscape,” he said. “At the very low end, we have added an ARM M33 MCU and spiking neural network with BrainChip core licensed for selected applications – we have licensed what we need to license from BrainChip including the software to get the ball rolling.”


“Now you have accelerators for driving AI with neural processing units rather than a dual core CPU. We are working with a third party taping out a device in December on 22nm CMOS,” said Chittipeddi.


today announced that it has achieved tape out of its AKD1500 reference design on GlobalFoundries’ 22nm fully depleted silicon-on-insulator (FD-SOI) technology. This milestone is part of validating BrainChip’s IP across different processes and foundries, empowering partners with varied global manufacturing options.


Brainchip has taped out its latest Akida chip, the AKD1500, on a low power 22nm FD SOI process, and is working with Renesas on integrating the IP into microcontrollers. This will be a key route for deployment of the Minsky AI engine in industrial applications.
 
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Tothemoon24

Top 20
Go Aussies !!!

Great stuff girls
 
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equanimous

Norse clairvoyant shapeshifter goddess
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equanimous

Norse clairvoyant shapeshifter goddess
Been thinking about the timeline, GF 22nm FDSOI, Renesas tapeout, Akida 1.5 tapeout, Minsky Ann.

Renesas has a licence for what they need apparently. 2 nodes from memory.

What we don't know is if the licence is all encompassing as to next iterations of Akida.

Eg. 2 nodes covers Akida 1.0 initially but has scope that it covers subsequent enhancements such as 1.5 then 2.0.

Renesas said they taping out in 22nm (GF?) In Dec. BRN late Jan Ann they taped out 1.5 in 22nm...past tense...when?..Dec?

Minsky Ann comes out straight after pretty much.

There was an article beginning of Feb where one paragraph caught my eye as to how to take the overall context when reading.

Just musing.


“So that’s kind of the plan that we have, to evolve that into that landscape,” he said. “At the very low end, we have added an ARM M33 MCU and spiking neural network with BrainChip core licensed for selected applications – we have licensed what we need to license from BrainChip including the software to get the ball rolling.”


“Now you have accelerators for driving AI with neural processing units rather than a dual core CPU. We are working with a third party taping out a device in December on 22nm CMOS,” said Chittipeddi.


today announced that it has achieved tape out of its AKD1500 reference design on GlobalFoundries’ 22nm fully depleted silicon-on-insulator (FD-SOI) technology. This milestone is part of validating BrainChip’s IP across different processes and foundries, empowering partners with varied global manufacturing options.


Brainchip has taped out its latest Akida chip, the AKD1500, on a low power 22nm FD SOI process, and is working with Renesas on integrating the IP into microcontrollers. This will be a key route for deployment of the Minsky AI engine in industrial applications.
1691839586908.png
 
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Dugnal

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This should be an interesting event, and what's in store for South Korea going forward:


"South Korea’s largest investment conference will be held in Seoul Sept. 11-15 with around 100 chief executives from global financial services firms and new growth engine industries like batteries, artificial intelligence, biopharmaceuticals, renewables, robotics and blockchain."

"Executives from SK Hynix Inc., Intel Korea and LG Display Co. will share their opinions on the chip and display markets.

In the afternoon of the day, CS Wind Corp. Chairman Kim Seong-kwon and Samsung Electronics Vice President Hwang Sang-joon will share their insights on clean energy and semiconductors, respectively.

Rainbow Robotics CEO Lee Jung-ho will speak on the outlook of collaborative robots, and ABL Bio Inc. CEO Lee Sang-hoon and Lunit CEO Seo Bum-suk will respectively introduce new drug development and medical AI."
 
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Glen

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The AI Meme theme is officially rolling over now, so now will be the real test as to which companies come out of the dust. Time to shine BRN. The market has worked out that a lot of the AI noise is chaff. You’re turn to jump into the seat at the big boys and girls table.
 
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