BRN Discussion Ongoing
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Sirod69
bavarian girl ;-)
ABR and BrainChip are distinct companies that signed a joint development and marketing agreement in 2016.
This partnership allows BrainChip to be part of the ABR software ecosystem, and ABR's Nengo software can be used to develop models for the Akida hardware, among other platforms.
This partnership allows BrainChip to be part of the ABR software ecosystem, and ABR's Nengo software can be used to develop models for the Akida hardware, among other platforms.
Apologies if posted already
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#togetherweadvance #semiconductors #partnerships #ai #gpu #datacenter #cpu #embedded #cloud #edge #foundry #advancedpackaging #itri #nationaltaiwanuniversity | M Morales
Thank you to the Global Semiconductor Alliance for the invitation to be a keynote speaker at this year's Asia Pacific Executive Forum on November 5th in Taipei. The discussions were insightful and relevant, highlighting an exciting time for our industry. Looking forward to transforming our...
Fuck guys forgot our Christmas Party for the Directors and management, oh it’s gunna be big, ITS OUR YEAR,WATCH US NOW!!!. Little side note guys this yeas AGM as been called off hope you’s don’t mind one of our directors has been suffering a bit of dementia won’t be able to make it. Seems to get you shareholders a bit wound up, don’t want to upset the old chap, he gets a bit Nancy at you all not a good look,You know maybe might have one in a couple years down the track, already got our motto ready, YOU CAN BANK ON IT!! How’s that sound get money in the bank,oh well.
Don't do drugs kids
Tough crowd, I thought Sean new slogan YOU CAN BANK ON IT!!! For 2026 was a fantastic phrase. Was a fantastic achievement for the year we payed him what 6million for WATCH US NOW!!!. For 2025 best work he has done all year, hey thought IT’S OUR YEAR was a bit of a fizzier for 2024 but hey for 6million/year what do you expect. Give the guy a break.
I am an investor from the US in Brchf. We were still trading today. I did notice last week we had 1.6 million shares traded in one day and the averages have gotten larger.
cosors
👀
I have also noticed on several occasions that a trading halt on ASX stocks does not apply here in Germany and that we can still trade.
Fiendish
Emerged
Possibly more to come!
I just think they don’t know how to handle ASX announcements—we’ve seen that in the past. The trading halt is overdone and will influence the market when trading resumes if nothing further positive comes out. Just my opinion. And plenty of posters here have kept getting it wrong, claiming something big is coming because “this time is different” whenever some event happens.
Fiendish
Emerged
I think we already have plenty of comfirmation that somethingS big is coming. Too many big partnerships emerging, too much neuromorphic buzz across the web. Our time is coming and soon imo.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Hi @Sirod69,
Great to see you back!
I thought I remembered Tony Lewis talking about Applied Brain Research (ABR) as a competitor and I just found the article after a bit of searching.
Here's an extract from the EE Times article, dated 7 February 2025.
Tony says there is one other competitor being able to run state-space models at the edge, which is Applied Brain Research with Chris Eliasmith. ABR is also partnered with Mercedes.
Tony said at the time that says he thought we might be ahead.
On keeping the lead, he says "And so we just hope that we can maintain a lead".
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Time will tell… until then, empty talk I would say
No doubt we’re well positioned..but I don’t think this announcement changes that something big will follow. I’m preparing for another year of a dry spell. After more than a decade with BrainChip, that’s been my experience. I’d love to be proven wrong.
But I stopped long time ago listen every time the same stuff “this will be huge” “this time is different” “something is brewing” etc. that’s all
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Hi @Sirod69,
Great to see you back!
I thought I remembered Tony Lewis talking about Applied Brain Research (ABR) as a competitor and I just found the article after a bit of searching.
Here's an extract from the EE Times article, dated 7 February 2025.
Tony says there is one other competitor being able to run state-space models at the edge, which is Applied Brain Research with Chris Eliasmith. ABR is also partnered with Mercedes.
Tony said at the time that says he thought we might be ahead.
On keeping the lead, he says "And so we just hope that we can maintain a lead".
View attachment 92833
This is one of ABR's early SSM patents:
US11238345B2 Legendre memory units in recurrent neural networks
Neural network architectures, with connection weights determined using Legendre Memory Unit equations, are trained while optionally keeping the determined weights fixed. Networks may use spiking or non-spiking activation functions, may be stacked or recurrently coupled with other neural network architectures, and may be implemented in software and hardware. Embodiments of the invention provide systems for pattern classification, data representation, and signal processing, that compute using orthogonal polynomial basis functions that span sliding windows of time.
1. A method comprising:
defining, by a computer processor, a node response function for each node in a network, the node response function representing a state over time, wherein the state is encoded into one of binary events or real values, each node having a node input and a node output;
defining, by the computer processor, a set of connection weights with each node input;
defining, by the computer processor, a set of connection weights with each node output;
defining, by the computer processor, one or more Legendre Memory Unit (LMU) cells having a set of recurrent connections defined as a matrix that determines node connection weights based on the formula:
A =[ a ] ij ∈
q×q
whereaij=(2i+1){-1i⟨j(-1)i-j+1i≥j
where q is an integer determined by the user, and i and j are greater than or equal to zero; and
generating, by the computer processor, a recurrent neural network comprising the node response function for each node, the set of connection weights with each node input, the set of connection weights with each node output, and the LMU cells by training the network as a recurrent neural network by updating a plurality of its parameters or by fixing one or more parameters while updating the remaining parameters.
However, this early system used a stored programme CPU: -
10. A hardware implemented system for pattern classification, data representation, or signal processing in neural networks, the system comprising:
a processor; and
a memory containing computer-executable instructions, wherein the computer-executable instructions, when executed by the processor, cause the processor to implement:
one or more input layers presenting a vector of one or more dimensions, wherein each dimension is provided to the network either by external input or by using previous outputs from the network;
one or more intermediate layers coupled via weight matrices to at least one of the input, other intermediate, or output layers; and
one or more output layers generating a vector representation of the data presented at the input layer or computing a function of those data at one or more discrete points in time or continuously over time;
wherein
the system generates a recurrent neural network using the method of claim 1.
This is a 2023 hardware implementation:
WO2024197396A1 EVENT-BASED NEURAL NETWORK PROCESSING SYSTEM 20230326
A hardware-based processing system for event-based processing of neural networks comprises event buses and processing elements arranged in stages or layers. Each stage includes an event bus configured to receive events from one or more event producers and output them to event consumers, and one or more processing elements that implement the neural network connected to the event bus. The processing elements receive events from the event bus and process them in synaptic input and neural output stages to generate an output event that is output to the event bus of a later stage. Each processing element includes an address generator that determines target addresses for stored synaptic states and weights for events. Synchronisation is managed locally in each processing element by a phase controller based on the time indices of each event indicating a time-step or phase.
Building the Future of Tech in Africa | Adedayo Oyewale posted on the topic | LinkedIn
If We Don’t Build the Future, We’ll Buy It forever. Technology is accelerating faster than we think. At the 2025 Edge AI event, a few breakthrough chips were unveiled that can run powerful AI tasks at the edge using almost zero power. BrainChip introduced its Akida chip, which can handle...
Fiendish
Emerged
Well i havent been onboard more than a decade but in half that time i have seen the Akida go from a theoretical unproven chip to make its way into space as well as US military..Mercedes-Benz .. raspberry pi etc etc etc.
Imo things are progressing much swifter now, so i am quite upbeat and keen to grab myself some more shares that some poor shorter is hoping to grab to cover
Gltah etc
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