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Thnx DB .......... yes i do know that.You know Peter has basically retired don't you?
He will still be quite actively engaged with the Company, but he is no longer our CTO..
So you would agree with @David holland just posted?
Thnx DB .......... yes i do know that.You know Peter has basically retired don't you?
He will still be quite actively engaged with the Company, but he is no longer our CTO..
They are trying to reinvent the wheel.This started out as something else, but it's turned out to be about Rain Ai again.
It's easy to understand the allure of analog, as, in theory, analog is a direct "analog" of the neuronal system. Hence much of the early attempts at electronic neurons and academic research has focused on analog. Some small 1-bit analog systems may have achieved tantalizingly passable results, but the accumulating error limits their development.
Analog neurons work by summing the currents through controllable impedances called ReRAMS, The currents are applied to a summing impedance so the voltage across that impedance is proportional to the sum of the ReRAM currents. Measuring that voltage is supposed to provide a count of the number of ReRAMs through which current has flowed into the summing impedance. The problem is that the ReRAM impedances and the summing impedances are not uniform but suffer from defects such as manufacturing variability.
One notable failure of an attempt to even more closely mimic the wetware neuron using analog is Rain AI, which initially sought to reproduce the complexity of neuronal connexions by the use of insulated nanowires with random connections.
https://www.eetimes.com/rain-neuromorphics-tapes-out-demo-chip-for-analog-ai/
https://www.eetimes.com/rain-demonstrates-ai-training-on-analog-chip/
Neurons can have 10,000 connexions. The human brain's configuration, the neuronal connexions, are determined by DNA and sensory experience. For example, the autonomous activations of breathing and heart beat are pre-programmed into the brain as it develops. The sensory wiring is in part preprogrammed. This is determined by genetic code, not by randomness.
The Rain inventors hoped that the system could be trained to recognize coherent data by feeding large amounts of activations into the system until it learned something, thereby inventing infinite-shot learning.
Because the brain can learn instantaneously, it is clear that new physical connexions cannot be grown instantaneously, so existing connexions must be involved in learning. This suggests that neurons include dormant connexions, some of which are activated when new data is learned. This is imitated by the "weights" of the artificial neuron. In an electronic brain, the weights can be electronically switched on and off, allowing the neuron to be repurposed when the neural network is programmed with a new model, whereas, in a natural brain, the group of activated weight synapses must be retained to store the data in memory. Assuming that neurons can be involved in remembering more than one item, this suggests that different groups of synapses connected to a neuron are activated when different data is being recognized. So a programmed synapse has a permanent ON memory function and a switchable ON/OFF control responsive to activations. The activation data determines which group of synapses and their weights are switched on.
An interesting thing is that the brain has the capability to stimulate memories without external activation.
At the beginning nof 2022, Rain still planned to go ahead with the analog random nanowire synapses:
"Rain’s vision is a fully analog, asynchronous, ultra-low power, tileable, scalable chip with capacity for 100 billion parameters that can imitate the human brain. While this work used a crossbar memristor array, Rain’s hardware roadmap still includes migration to randomly connected ReRAM cells as the technology matures."
Rain Demonstrates AI Training on Analog Chip - EE Times
Remember that, in 2019, Sam Altman agreed to buy $M51 of Rain's chips off the drawing board:
OpenAI Agreed to Buy $51 Million of AI Chips From a Startup Backed by CEO Sam Altman | WIRED
OpenAI Agreed to Buy $51 Million of AI Chips From a Startup Backed by CEO Sam Altman
Documents show that OpenAI signed a letter of intent to spend $51 million on brain-inspired chips developed by startup Rain. OpenAI CEO Sam Altman previously made a personal investment in Rain.www.wired.com
OpenAI in 2019 signed a nonbinding agreement to spend $51 million on the chips when they became available, according to a copy of the deal and Rain disclosures to investors this year, seen by WIRED. Rain told investors that Altman had personally invested more than $1 million in the company. The letter of intent has not been previously reported.
Having spent, no doubt, many hours unsuccessfully attempting to achieve the Frankenstein moment, Rain now boasts the virtues of its yet-to-see-daylight digital NN:
https://rain.ai/products ,
https://rain.ai/
"We're building the most efficient hardware for AI."
https://rain.ai/products
"We offer IP licensing opportunities for Rain’s digital in-memory compute tile and software stack across a range of compute use cases.
The IP is tailored to on-device AI workloads requiring ultra-low latency and high energy efficiency."
and licences in interconnection IP from Arteris,
https://ir.arteris.com/news-release...teris-selected-rain-ai-use-next-generation-ai
Arteris Selected by Rain AI for Use in the Next Generation of AI
Jan 30, 2024 at 8:45 AM EST
PDF Version
Optimizing on-chip mesh connectivity with Arteris’ FlexNoC 5 physically aware network-on-chip enables Rain AI to realize faster data transfers at ultra-low power to achieve record performance for Generative AI and Edge AI computing at scale
It seems their much-vaunted first generation analog random nanowire experiment sank without trace and it's all hands to the pumps in the digital lifeboat.
... and on your tootsies.This is me coming back to my computer and opening up my trading account (except I'm female and have a little bit more hair on my head).
View attachment 56363
Do you know the difference between the word "his" and "he's?"I think Peter knows his done the hard work and put people in places to continue the great work his done previously,
Peter knows his got a great team to take this company into the future ,I hope his around to see the company reach its heights
I think Peter knows his done the hard work and put people in places to continue the great work his done previously,
Peter knows his got a great team to take this company into the future ,I hope his around to see the company reach its heights
I think he meant well, but can understand people like the Pom getting pissed at his ending comment, because you just don't say shit like that...Thnx DB .......... yes i do know that.
So you would agree with @David holland just posted?
100 % my post wasn't wishing bad will,Peter maybe "semi-retired" but he's still involved, not only with Adam, Barry and especially Alan but also I'd suggest from two WA locations,
one being his main residence and the other within country WA.
Peter spoke to me in glowing terms of his replacement, and although I can't say for sure, I'd suspect that Peter and Tony are in regular contact
discussing technical viewpoints to continue moving Brainchip's groundbreaking technology forward.
We are in excellent hands, I'm sure many other companies wish that they were in our position quietly !
Thanks...Tech.
The bottomline is Brainchip can make mistakes with typo's and your invested your money with them, but you want to have a go at me,Do you know the difference between the word "his" and "he's?"
It's called a contingency plan, no ill will to nobodyHope his around, well we all hope your not around well before Peter passes away.
View attachment 56386
Brainchip is a team, Peter is the genius, but going forward you need a team all on board to take this company to the nxt level, Our previous CEO Did a job but his time was up, Sean is the right man for the jobI think he meant well, but can understand people like the Pom getting pissed at his ending comment, because you just don't say shit like that...
AKIDA is Peter's baby, but it's a product of more than "just" his hard work too..
The whole BrainChip team, has been responsible for our technical success and our financial success in the Future, as well.
Sh*t a brick! I might have got something right for once! Well, I'll be darned...
Timing certainly makes sense @Diogenese .This started out as something else, but it's turned out to be about Rain Ai again.
It's easy to understand the allure of analog, as, in theory, analog is a direct "analog" of the neuronal system. Hence much of the early attempts at electronic neurons and academic research has focused on analog. Some small 1-bit analog systems may have achieved tantalizingly passable results, but the accumulating error limits their development.
Analog neurons work by summing the currents through controllable impedances called ReRAMS, The currents are applied to a summing impedance so the voltage across that impedance is proportional to the sum of the ReRAM currents. Measuring that voltage is supposed to provide a count of the number of ReRAMs through which current has flowed into the summing impedance. The problem is that the ReRAM impedances and the summing impedances are not uniform but suffer from defects such as manufacturing variability.
One notable failure of an attempt to even more closely mimic the wetware neuron using analog is Rain AI, which initially sought to reproduce the complexity of neuronal connexions by the use of insulated nanowires with random connections.
https://www.eetimes.com/rain-neuromorphics-tapes-out-demo-chip-for-analog-ai/
https://www.eetimes.com/rain-demonstrates-ai-training-on-analog-chip/
Neurons can have 10,000 connexions. The human brain's configuration, the neuronal connexions, are determined by DNA and sensory experience. For example, the autonomous activations of breathing and heart beat are pre-programmed into the brain as it develops. The sensory wiring is in part preprogrammed. This is determined by genetic code, not by randomness.
The Rain inventors hoped that the system could be trained to recognize coherent data by feeding large amounts of activations into the system until it learned something, thereby inventing infinite-shot learning.
Because the brain can learn instantaneously, it is clear that new physical connexions cannot be grown instantaneously, so existing connexions must be involved in learning. This suggests that neurons include dormant connexions, some of which are activated when new data is learned. This is imitated by the "weights" of the artificial neuron. In an electronic brain, the weights can be electronically switched on and off, allowing the neuron to be repurposed when the neural network is programmed with a new model, whereas, in a natural brain, the group of activated weight synapses must be retained to store the data in memory. Assuming that neurons can be involved in remembering more than one item, this suggests that different groups of synapses connected to a neuron are activated when different data is being recognized. So a programmed synapse has a permanent ON memory function and a switchable ON/OFF control responsive to activations. The activation data determines which group of synapses and their weights are switched on.
An interesting thing is that the brain has the capability to stimulate memories without external activation.
At the beginning nof 2022, Rain still planned to go ahead with the analog random nanowire synapses:
"Rain’s vision is a fully analog, asynchronous, ultra-low power, tileable, scalable chip with capacity for 100 billion parameters that can imitate the human brain. While this work used a crossbar memristor array, Rain’s hardware roadmap still includes migration to randomly connected ReRAM cells as the technology matures."
Rain Demonstrates AI Training on Analog Chip - EE Times
Remember that, in 2019, Sam Altman agreed to buy $M51 of Rain's chips off the drawing board:
OpenAI Agreed to Buy $51 Million of AI Chips From a Startup Backed by CEO Sam Altman | WIRED
OpenAI Agreed to Buy $51 Million of AI Chips From a Startup Backed by CEO Sam Altman
Documents show that OpenAI signed a letter of intent to spend $51 million on brain-inspired chips developed by startup Rain. OpenAI CEO Sam Altman previously made a personal investment in Rain.www.wired.com
OpenAI in 2019 signed a nonbinding agreement to spend $51 million on the chips when they became available, according to a copy of the deal and Rain disclosures to investors this year, seen by WIRED. Rain told investors that Altman had personally invested more than $1 million in the company. The letter of intent has not been previously reported.
Having spent, no doubt, many hours unsuccessfully attempting to achieve the Frankenstein moment, Rain now boasts the virtues of its yet-to-see-daylight digital NN:
https://rain.ai/products ,
https://rain.ai/
"We're building the most efficient hardware for AI."
https://rain.ai/products
"We offer IP licensing opportunities for Rain’s digital in-memory compute tile and software stack across a range of compute use cases.
The IP is tailored to on-device AI workloads requiring ultra-low latency and high energy efficiency."
and licences in interconnection IP from Arteris,
https://ir.arteris.com/news-release...teris-selected-rain-ai-use-next-generation-ai
Arteris Selected by Rain AI for Use in the Next Generation of AI
Jan 30, 2024 at 8:45 AM EST
PDF Version
Optimizing on-chip mesh connectivity with Arteris’ FlexNoC 5 physically aware network-on-chip enables Rain AI to realize faster data transfers at ultra-low power to achieve record performance for Generative AI and Edge AI computing at scale
It seems their much-vaunted first generation analog random nanowire experiment sank without trace and it's all hands to the pumps in the digital lifeboat.
Do you know the difference between the words your and you’re?The bottomline is Brainchip can make mistakes with typo's and your invested your money with them, but you want to have a go at me,
Do you know how many people out there that are hungry and are successful and can't read or write.
Next time pick your fights carefully ,I have never picked you so why now for you,
You don't like me Mute me or your not that bright to do that
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