BRN Discussion Ongoing
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Hi Guys,I like Mellon.
“We have incorporated experimentation with BrainChip’s Akida development boards in our new graduate-level course, “Neuromorphic Computer Architecture and Processor Design” at Carnegie Mellon University during the Spring 2022 semester,” said John Paul Shen, Professor, Electrical and Computer Engineering Department at Carnegie Mellon. “Our students had a great experience in using the Akida development environment and analyzing results from the Akida hardware. We look forward to running and expanding this program in 2023.”
BrainChip Empowers Next Generation of Technology Innovators with Launch of the University AI Accelerator Program
Empower your tech innovation journey with BrainChip's University AI Accelerator Program. Unleash the future here!brainchip.com
Just gone through the promo for the new Apple Macbook Pro that arrived in my Email as a Apple user..
5 times faster than Intel, better battery life, uses less power, greater capacity etc etc.
Has anybody else seen this? Could this be what we are looking for?
gex
Regular
Found something
mentions brainchip
note: already talked about here, back to the box
mentions brainchip
note: already talked about here, back to the box
Shadow59
Regular
...or could this be why Intel has suddenly decided to include Akida in their offerings.
Techinvestor17
Regular
Shorters seem to be stuck in there positions, there isn’t enough liquidity for them to get out. I beat they are trying to hold us down until we move out of the ASX index which should create liquidity for them to close their positions. Fact is they are racing against time, any moment we could have an Ann that blows them out of the water.
Evermont
Stealth Mode
Markus Schafer’s neuromorphic article is finally up
IN THE LOOP: NEUROMORPHIC COMPUTING | Markus Schäfer | 23 comments
My new “In the Loop” series kicks off with #Neuromorphic Computing – the clear winner of my poll a few weeks ago. For those unfamiliar, this highly significant field of computing strives to emulate the multi-tasking of the human brain. Traditional microprocessors function sequentially. However...www.linkedin.com
For those not aware, Markus Schafer is the CTO of Development & Procurement and is also a Member of the Board of Management of Mercedes-Benz. Markus is highly regarded across the industry and has almost 55,000 followers alone on LinkedIn. His post on neuromorphic computing highlighting BrainChip has only been live 14 hours but has already been re-posted 10 times extending the tentacles across multiple audiences.
A few may consider the content underwhelming, however for me, and IMO this coverage does a number of things.
1. Takes opportunity to identify BrainChip as one of two leading developers (alongside Intel)
2. Provides irrefutable proof of neuromorphic computings strategic importance to Mercedes future fleet development
3. Indicates that Mercedes are researching wide use cases that will have a direct impact on future AI functionality across their vehicles
4. Validates the ongoing partnership with BrainChip
5. Confirms that experts are working closely to examine new applications
6. Provides clue that even small node application is transferring to measurable advancement across multiple applications
7. Reinforces that a single use case for Akida (Hey Mercedes) has demonstrated efficiency improvements of 5-10 times
8. Clearly flags that efficiency improvements are paramount given the increasing use of AI technology within vehicles
Cheers.
NB - Perhaps also a timely reminder on the LinkedIn comments, let's keep it professional please.
Last edited:
Learning
Learning to the Top 🕵♂️
On the Macro front,
"Global politics will be dominated by the availability, trade and investment in microchips for the next several decades, Intel CEO Pat Gelsinger told CNN Tuesday."
Semiconductor is the new oil!
Learning 🏖
"Global politics will be dominated by the availability, trade and investment in microchips for the next several decades, Intel CEO Pat Gelsinger told CNN Tuesday."
Semiconductor is the new oil!
Learning 🏖
Dhm
Regular
Have we discussed CEVA before in any detail? The reason I ask is that they seem to be describing what we have.
https://www.chipestimate.com/techtalk.php?d=2023-01-17
https://www.chipestimate.com/techtalk.php?d=2023-01-17
MaxwellAnne
Regular
Just (ICYMI) BrainChip sharing Markus Schafer’s Post, Great advertisement! Thanks Markus.
It's had been mentioned, but fantastic for a CTO of Mercedes referencing Neuromorphic Computing to only 'BrainChip and Intel'
View attachment 27350
Thanks to the 1000 eyes who voted and ensured neuromorphic computing was the clear winner!!Just (ICYMI) BrainChip sharing Markus Schafer’s Post, Great advertisement! Thanks Markus.
It's had been mentioned, but fantastic for a CTO of Mercedes referencing Neuromorphic Computing to only 'BrainChip and Intel'
View attachment 27350
Learning 🏖
Hi Dhm,
AS Ella continually reminds us:
"Taint what you do,
It's the way that you do it."
CEVA Figure 1 "Mixed precision neural Engine - 4k MAC"
Using MACs and 16 bits is incompatible with Akida SNN. These are von Neumann hangovers.
While they refer to sparsity, there in no indication that CEVA are using N-of-M coding.
This CEVA patent application relates to the cited article:
EP3709225A1 SYSTEM AND METHOD FOR EFFICIENT UTILIZATION OF MULTIPLIERS IN NEURAL-NETWORK COMPUTATIONS
A system and method for performing neural network calculations may include selecting a size in bits for representing a plurality of weight elements of the neural network based on a value of the weight elements. In each computational cycle: if the size in bits of a weight element of the plurality of weight elements is N, configuring an N∗K multiply accumulator to perform one multiply-accumulate operation of a K-bit data element and the N-bit weight element; and if the size in bits of at least two N/M-bit weight elements of the plurality of weight elements is N/M, configuring the N∗K multiply accumulator to perform up to N/M multiply-accumulate operations, each of a K-bit data element and an N/M-bit weight element, where N, K and M are integers bigger than one, N is a power of 2, M is even and N≥M.
...
Typically, the neurons and links within a NN are represented by mathematical constructs, such as activation functions and matrices of data elements and weights. A processor, e.g. CPUs or graphics processing units (GPUs), or a dedicated hardware device may perform the relevant calculations.
[0004] NN calculations require performing a huge amount of multiplications, e.g., of the data elements and weights. Typical hardware implementations of NN usually support 16-bit fixed-point precision arithmetic processing. However, the power consumption of such devices becomes a problem in many NN applications.
[0005] Attempts to reduce the power consumption have been made, for example, by reducing the bit precision to 8, 4 or even 1 bit. While reducing the bit precision may indeed reduce the power consumption, it may at the same time reduce the accuracy of the neural network.
SUMMARY OF THE INVENTION
[0006] According to embodiments of the present invention, there is provided a system and method for efficient utilization of multipliers in neural network computations by an execution unit. The method may include for example determining a size in bits of weight elements; configuring an N∗ K multiply accumulator to perform at least two multiply operations in parallel, if the size in bits of at least two weight elements is not bigger than N /M, where K is an integer bigger than one, each of N and M is a power of 2 and N≥M.
Attachments
DingoBorat
Slim
You're 100% right BaconLoverGood 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.
They bait the hook perfectly, with their "views" and we take the bait each time and run with it.
It's a deliberate parasitic strategy and it's working for them.
They obviously need the help, to engage in such an unethical practice, but why should we give it to them?
Have a belly laugh at their bullshit, if you want, but don't spread it around unless your intention is to help their cause.
There are better causes out there..
Space Cadet
Regular
I would rather no one give him a heads up on anything and let him get trampled in the ensuring stampede!!So who’s going to send Picklebro a copy of Markus Schaefer’s blog? No need to rub it in too much. Remember that humility is a valuable and admirable attribute. Maybe just very subtly highlight that Markus states that neuromorphic computing is a “highly significant field of computing“ and that we’re described as being “leading developers“ and, without tooting our own horn too much, just quickly mention that we were mentioned ahead of Intel and then maybe also highlight this statement “Together with intense parallel execution on neuromorphic chips, the new processing principles require us to go beyond the application of existing #AI frameworks to neuromorphic chips.”
And then sign off saying “Nah-nah-née-nah-nah”.
Just joking - about the sign-off part that is.
SC
ndefries
Regular
You're 100% right BaconLover
They bait the hook perfectly, with their "views" and we take the bait each time and run with it.
It's a deliberate parasitic strategy and it's working for them.
They obviously need the help, to engage in such an unethical practice, but why should we give it to them?
Have a belly laugh at their bullshit, if you want, but don't spread it around unless your intention is to help their cause.
There are better causes out there..
MF were big on recommending AfterPay (APT). Who not only wasn't making a profit but last year lost 350M! What will it be this year. That never seemed to worry them. They were promoting broker views that the SP would go to $300 (valuing the company at 80B even after Square offered $150 (39B) for the take over.
MF were an investor in APT they would disclose in small print.
As an aside the price that APT was acquired for would be the same as $23 for BRN!
Bravo
If ARM was an arm, BRN would be its biceps💪!
600 billion! Is that all?
PS : Sarcasm intended...
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
finance.yahoo.com
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...
DingoBorat
Slim
APT was the market darling of the ASX, but had a costly, crappy business plan.
BRN will be the market darling of the ASX (for starters), but it will be built on a solid foundation, that we are all witnessing the construction of.
Our business plan is Golden and brings a smile to my face, whenever I think about it.
Empires are not built overnight, but they do get built.
Sounds like a good advertising slogan
..
alwaysgreen
Top 20
23 is my favourite number. If we were bought out for $23, I would definitely be building these (gaudy) front gates on my house!
They are Michael Jordans front gates btw. Money definitely doesn't buy class haha
Oh my. No surprise here.
Tesla behaving badly. Very badly.
finance.yahoo.com
Tesla behaving badly. Very badly.
Tesla video promoting self-driving was staged, engineer testifies
A 2016 video that Tesla used to promote its self-driving technology was staged to show capabilities like stopping at a red light and accelerating at a green light that the system did not have, according to testimony by a senior engineer. The video, which remains archived on Tesla’s website, was...
finance.yahoo.com
DingoBorat
Slim
I reckon he gets Uber-Eats a lot
That's actually one of his playing numbers, so I wonder if that's also the address?..
ndefries
Regular
Ha that isnt his house number - here is the property listing - 15M USD and it's your. the basketball court is decent!I reckon he gets Uber-Eats a lot
That's actually one of his playing numbers, so I wonder if that's also the address?..
2700 Point Dr, Highland Park, IL 60035 | MLS #09814087 | Compass
2700 Point Dr, Highland Park, IL 60035 is a single family home not currently listed. This is a 9-bed, 17-bath, 32,683 sqft property.
www.compass.com
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.
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