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Yes I read that recently as well.Pushed back to next year I think
My opinion only DYOR
Fact Finder
Yes I read that recently as well.Pushed back to next year I think
Hi SG,Interesting HG,
@Diogenese
I noticed a Nintendo patent in the video regarding NN suggesting I take a look at them.
I could only find 3 which i did a keyword search and no SNN, no Brainchip or Akida. CNN was mentioned.
Obviously Akida can convert the CNN but the latest patent file date was 2022 and there was still no reference to Akida etc.
Does that pose a problem for my theory Akida could be in Switch 2?
I’m guessing you’re going to tell me the relevant patent could have been filed but still in hiding until it is granted or maybe the tech Nintendo is using is not new and therefore no patent required?
View attachment 57812
?
The savings in time for Law Enforcement viewing event based CCTV footage would be huge. You only need to know if an event takes place.Hi All
There has been some discussion about the cross trade.
The theory of the cross trade is that if you hold a large number of shares and need to dispose of a large proportion quickly but you do not want to crash the price of your remaining holding you go to a broker, any broker, and say I have 4 million shares can you match me off market with a buyer. I will take the closing price today. The broker will then attempt to match your sale with a buyer or buyers who is/are happy to pay the closing price.
As a retail share holder at a time when there is no interest in your company a large sale being attended to off market in this way it could be argued as being a good thing rather than a large number of at market need the money today fire sale on market dump.
When a companies shares are galloping along however the advantage of off market sales like this become less clear. It has removed 4 million from the buy side and this pressure of a genuine buyer is never shared with ordinary retail holders.
From the sellers perspective if forced to sell into the rising market they may well have on Friday set a minimum price higher than the 49 cents say 51 cents and that pressure may have been enough to have closed the price for retail higher than 49 cents.
There is no doubt that the above distorts normal considerations of a free market that determines price.
(Yes some cross trades are between related entities for a range of purposes but the annoying thing is the reason behind cross trades is not required to be disclosed so the market is always left blind.)
The final thing I would say is this if a seller tells his broker he will take the closing price and the broker tells the buyer he can have them for the closing price there is a temptation in play for someone to manipulate the closing price either up or down.
Anyone watching the drop from 54.5 cents to 49 cents could get the wrong idea just as this wealthier ordinary retail investor did in the UK only to discover he was right to feel hard done by and to challenge what happened???
https://www.fca.org.uk/news/press-releases/barclays-fined-£26m-failings-surrounding-london-gold-fixing-and-former-barclays
Clicking on the FCA links gets you the full story.
And this was not done on the Pink Sheets by no name fly by night brokers it was Barclays a member of the Golden Circle.
In short the retail client had bet on a closing price on a particular day and right up to the last he was a winner then out of the blue no not today Josephine. He thought this is suspicious. He complained Barclays who investigated and said all good nothing to see here. Unhappy he complains to FCA and guess what the evidence of what had been done was in the traders file. He had been horribly ripped off.
Don’t worry though if it happened in Australia you have the ASX and ASIC to look after you.
My opinion only DYOR
Fact Finder
AddendumThat's not my cup of tea, but maybe for you. I saw that you were the last who posted this URL. Can you do anything with it? I couldn't find anything here using the keyword search for the Mentium Technologies or sub orbital either.
Maybe it is interesting. I'm closing the tab as this will take until 2026 anyway.
"Testing neuromorphic architectures for high capacity/low-power AI in Sub Orbital flight
Project Description
The technology is a radiation-hardened Artificial Intelligence (AI) inference accelerator. The system consists of a co-processor that is able to expand the AI capabilities of existing systems by orders of magnitudes while consuming less than 0.4W of power.
Anticipated Benefits
Artificial Intelligence systems in space are significantly impacted by hardware limitations such as power, mass, and radiation protection. This technology has the potential to bring world-class efficiency of 50 TOPS/W efficiency, at 0.4W power consumption, revolutionizing onboard data analysis, sensor enhancement, and system autonomy, all with a radiation-hardened design."
https://techport.nasa.gov/view/155249
View attachment 57751
But then it will probably come from Synopsys? I have no clue. That's really not my field. I can't get my head around who is doing what with whom for whom and so on; whomwhom. But ARM? I couldn't find them in Neuromorphia's ecosystem thread, which she has thankfully just updated. So I'll leave it here before I close the dab.
View attachment 57752
They sound pretty good I wonder why with such amazing technology already in their hands NASA commenced trialling Loihi 1 in 2019 and then paid to become a Brainchip EAP on 23.12.20 and remain engaged with both Brainchip and Intel in 2024.Addendum
They have developed their own chip. That's how I understand it in a quick glance. They just won the SBIR-STTR award and got $5M for it. So it seems to be more of a competitor.
Low-Power, ultra-Fast Deep Learning Neuromorphic Chip for Unmanned Aircraft Systems
The chip will use 1/100th of the energy while reaching 100x in speed compared to state of the art. The team already had demonstrated 1000x and 1/1000th energy consumption in a smaller scale experimental demo. From this experience UCSB has a patented technology licensed by Mentium Technologies Inc. thanks to this technology and its develpment within this project, the Neuromorphic Chip will empower the UAS with Cognitive functions enabling autonomous guidance, decision making and complex image processing, while keeping the power consumption low.
more to find here:
Hi SG,
From the look of this patent application which is your third patent, as of March 2020, Nintendo thought NNs were software:
US2021304355A1
SYSTEMS AND METHODS FOR MACHINE LEARNED IMAGE CONVERSION 20200325
View attachment 57813
[0044] Returning to FIG. 1, game device 100 stores and executes a video game application program 108 . Included in the video game application program are a game engine 110 and a neural network 112.
This does not exclude the possibility that Nintendo has adopted Akida after 2020, but it certainly does not support that idea.
Hi cosors,Addendum
They have developed their own chip. That's how I understand it in a quick glance. They just won the SBIR-STTR award and got $5M for it. So it seems to be more of a competitor.
Award last edited on: 5/11/2023
Low-Power, ultra-Fast Deep Learning Neuromorphic Chip for Unmanned Aircraft Systems
The chip will use 1/100th of the energy while reaching 100x in speed compared to state of the art. The team already had demonstrated 1000x and 1/1000th energy consumption in a smaller scale experimental demo. From this experience UCSB has a patented technology licensed by Mentium Technologies Inc. thanks to this technology and its develpment within this project, the Neuromorphic Chip will empower the UAS with Cognitive functions enabling autonomous guidance, decision making and complex image processing, while keeping the power consumption low.
more to find here:
They sound pretty good I wonder why with such amazing technology already in their hands NASA commencing trialling Loihi 1 in 2019 and then paid to become a Brainchip EAP on 23.12.20 and remain engaged with both Brainchip and Intel in 2024.
My opinion only DYOR
Fact Finder
If you choose to bookmark just one post to remind yourself why you bought Brainchip and perhaps why you are contemplating buying more, this is it. Friends and relatives that you have influenced to buy shares (who may have eliminated you from their Xmas card/gift list....wives and ex-wives and future ex-wives included).....send them a copy. A get out of the doghouse free pass.The answer is Brainchip is not trying to change the world.
The answer is compatibility as a result of incorporating CNN and CNN2SNN conversion Brainchip allows the whole World to adopt AKIDA technology into their existing platforms without changing or throwing out their existing technology or models.
By adding AKIDA technology suddenly the World can off load Ai inference at the Edge to AKIDA and only deal with the relevant events dramatically reducing needed bandwidth by only sending valuable relevant meta data to the Cloud where it can be processed further, action taken and then stored more economically and efficiently ready for use.
The best real world example is a security camera monitoring a commuter carpark.
A normal security camera connected to the cloud can have its frame rate slowed down to reduce power to say 10 fps yet even though it is slowed down it is still every second sending ten frames or photographs of the carpark with nothing happening to the cloud needing the same bandwidth every second, every minute, every hour.
This means if my maths is correct 36,000 images of nothing happening is being sent to the cloud for processing to find and report 36,000 times nothing happening every hour on the hour 24 hours a day.
This results in masses of probably useless data being stored in case it is later needed.
Enter AKIDA technology because it is compatible with every sensor and every process the carpark owner can slot it in between the camera and the existing processor and it can monitor the 10 fps for events and only when an event occurs in a frame does it pass this frame/ photo on to the processor as meta data to send on to the cloud for further processing.
What this allows is the camera to run at higher frame rates (Nviso runs at over 1,000 fps with AKIDA) and resolution (even colour) while still dramatically lowering energy consumption and with dramatically reduced bandwidth and cloud storage saving running costs at every stage while reducing latency and improving accuracy.
The reality of what Brainchip offers is that it makes the existing technology magnitudes better and does not require all existing technology to be made redundant and thrown on the scrap heap before it can be adopted.
Beyond this Brainchip AKIDA technology offers the option to start from scratch and build out whole systems based on its technology so that as existing technology ages and has to be replaced it can step in and immediately or over time completely replace that which went before.
This is why you can read on the ARM website that AKIDA dramatically improves the efficiency of ARM processes.
My opinion only DYOR
Fact Finder
Brainchip now has over 12,000 followers on LinkedIn.Hi Cgc
One of the things to keep in mind with Brainchip is that it’s AKIDA technology is about much, much more than just the glamorous and sexy autonomous driving end of the technology market.
If you personally are a newbie you may have missed this partnership:
“BrainChip’s Neuromorphic Technology Enables Intellisense Systems to Address Needs for Next-Generation Cognitive Radio Solutions
Laguna Hills, Calif. – March 21, 2023 – BrainChip Holdings Ltd(ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced that Intellisense Systems Inc. has selected its neuromorphic technology to improve the cognitive communication capabilities on size, weight and power (SWaP) constrained platforms (such as spacecraft and robotics) for commercial and government markets.
Intellisense’s intelligent radio frequency (RF) system solutions enable wireless devices and platforms to sense and learn the characteristics of the communications environment in real time, providing enhanced communication quality, reliability and security. By integrating BrainChip’s Akida™ neuromorphic processor, Intellisense can deliver even more advanced, yet energy efficient, cognitive capabilities to its RF system solutions.
One such project is the development of a new Neuromorphic Enhanced Cognitive Radio (NECR) device to enable autonomous space operations on platforms constrained by size, weight and power (SWaP). Intellisense’s NECR technology provides NASA numerous applications and can be used to enhance the robustness and reliability of space communication and networking, especially cognitive radio devices. Smart sensing algorithms will be implemented on neuromorphic computing hardware, including Akida, and then integrated with radio frequency modules as part of a Phase II prototype.
“We are excited to partner with BrainChip and leverage their state-of-the-art neuromorphic technology,” said Frank T. Willis, President and CEO of Intellisense. “By integrating BrainChip’s Akida processor into our cognitive radio solutions, we will be able to provide our customers with an unparalleled level of performance, adaptability and reliability.”
BrainChip’s Akida processor is a revolutionary computing architecture that is designed to process neural networks and machine learning algorithms at ultra-low power consumption, making it ideal for edge computing applications. By utilizing this cutting-edge technology, Intellisense will be able to deliver cognitive radio solutions that are faster, more efficient and more reliable than ever before.
“Intellisense provides advanced sensing and display solutions and we are thrilled to be partnering with them to deliver the next generation of cognitive radio capabilities,” said Sean Hehir, CEO of BrainChip. “Our Akida processor is uniquely suited to address the demanding requirements of cognitive radio applications and we look forward to continue partnering with Intellisense to deliver cutting-edge embedded processing with AI on-chip to their customers.”
In my opinion Cognitive Communications has huge potential.
Just think about going for a drive and you see standing in the middle of the road a policeman.
You obey his signal to stop. He walks up to your car window and advises you that a bushfire has closed the road 40 kilometres ahead and tells you that you need to use the alternate route to get to your destination.
In today’s world the Police Officer is often replaced by traffic Apps that tell you the best route to take.
This is what Cognitive Communications are all about. Choosing the best route for digital communications to be routed so that too many messages do not go the same way causing congestion or log jams.
In space radio communications are routed to Earth via satellites and at each satellite AKIDA will allow decisions to be made as to which is the best route to take.
On Earth you will know about 3G, 4G and 5G networks. You may even have heard they are working on another upgrade a 6G network.
In this technology age as more and more devices are made needing connection to the Cloud networks are quickly reaching capacity.
A way to increase the capacity of existing networks is to apply intelligence at every node and make smart decisions about which way to send a given communication to its destination so as to avoid contesting bandwidth.
There are millions and millions of these nodes that will need to be made smart to create cognitive communications.
But to do this the solution will need to be smart and run at ridiculously low power capable but still capable of real time decision making at very low cost.
AKIDA technology stands head and shoulders above all other technology when you factor size, power and cost into the equation.
It is predicted that in the not to distant future 75% of all data will be created at the Edge.
Even if AKIDA is adopted by say 30% of all these Edge applications the other 70% will still be there trying to send this collected date over networks to have it processed and stored in the cloud.
This is where even if it is not adopted at the Edge AKIDA will be needed to make networks as smart or cognitive as possible to handle the avalanche of demand that is going to crush existing and future networks.
Not as sexy as autonomous Tesla vehicles but still a massive market.
My opinion only DYOR
Fact Finder
I wonder when they will start shouting they have helped one of the USA DARPA approved foundries IFS & Global Foundries to overcome the production variabilities that plague analogue and that stopped Rain Ai in its tracks and forced Innatera to go tiny rather than scaling up to AKIDA’s digital heights?Hi cosors,
Mentium has licenced an analog neuromorphic chip from US-SB.
UNIV CALIFORNIA
US2023124085A1 HYBRID TRANSISTOR AND MEMORY CELL 20211014
A hybrid switch and memory cell includes a transistor device that has an atomically-thin semiconductor material channel, source/drain electrodes, and gate dielectric. The cell includes a resistive-random-access-memory having a thin conductive edge and a 2D insulator layer over the thin conductive edge, wherein the 2D insulator layer extends over the semiconductor channel and serves as the gate dielectric in the transistor device.
WO2022119631A1 NEURAL NETWORK SYSTEM WITH NEURONS INCLUDING CHARGE-TRAP TRANSISTORS AND NEURAL INTEGRATORS AND METHODS 20201202
Present implementations can include a system with a transistor array including a plurality of charge-trap transistors, the charge-trap transistors being operatively coupled with corresponding input nodes, and a neural integrator including a first integrator node and a second integrator node operatively coupled with the transistor array, and generating an output corresponding to a neuron of a neural network system. Present implementations can include a neural integrator with a first integrator node operatively coupled with a first charge-trap transistor of a transistor array, a second integrator node operatively coupled with a second charge-trap transistor of the transistor array, the second charge-trap transistor being operatively coupled with the first charge-trap transistor, and a capacitor operatively coupled with the first integrator node and the second integrator node, and operable to generate an output based on a first voltage at the first integrator node and a second voltage at the second integrator node.
MB has delivered (very) good figures and at the same time announced that, contrary to previous plans, it will continue to produce ICEs beyond 2030.