Fact Finder
Top 20
I just cannot get over how excited and happy he is about one bush, could he have had two birds in it before the photo was taken?
FF.
BRN Discussion Ongoing
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FF.
equanimous
Norse clairvoyant shapeshifter goddess
Bravo
If ARM was an arm, BRN would be its biceps💪!
Yeah, he looks exstatic, doesn't he? He may well have had two birds in his bush because it looks like a Hardenbergia genus which is known to attract them. Her bush on the other hand looks like it may be some kind of fast growing species, due to it being rather humongous.
Violin1
Regular
Jacqui Lambiiiieeush?
equanimous
Norse clairvoyant shapeshifter goddess
Talking about Bushes. Robot Ken and John Deere are a perfect match. Have a great weekend.
ItsKane
Regular
Her biceps would become useless with this partnership. Maybe she could stand at the front door arms folded at the $5 party or something
thelittleshort
Top Bloke
Has anyone done any research into artificial intelligence and EV batteries?
Apologies if so and I have missed it
There are multiple gigafactories in various stages of planning and construction across Europe and the US. Would be great to tap into this white hot market
I have come across the below from Envision AESC.
Automotive Energy Supply Corporation (AESC) is a manufacturer of lithium ion batteries for electric vehicles established 2007 as a joint venture between Nissan, NEC and Tokin Corporation.
Mentioned below is risk prediction, which is tied in with preventing faults. My understanding is this is synonymous with Akida
Does AI tech in batteries also play a part in extending the possible range of travel for EVs?
In the future, we will redefine batteries. We will use innovative materials to increase energy density and decrease the cost. By adopting artificial intelligence, we can predict risks before they appear. Through AIoT, we will turn an electric car into a green mobile personal energy source. It will absorb more green energy, and make power grids more stable and safer.
Combining the world's leading battery electrochemical technology with cutting-edge IoT best energy practices, we use intelligent IoT technology to carry out battery life cycle management optimization and cross-field synergy application which can unlock the value of electric batteries across their whole life cycle.
HUGE DATA COLLECTION ENABLES COMPLETE TRACEABILITY IN PRODUCTION
In the battery production process, the system collects and monitors a large number of processes and battery status parameters. The data covers the entire production chain. At the core manufacturing level, each cell has more than 2,000 data collection points. Through monitoring the target data in real time and corresponding to more than 800 quality control projects in the production process, Envision AESC enables traceable data along the entire production chain.
In the future, we also hope to work with global OEMs to establish full life-cycle data management from battery production to recycling. With this state management, fault warnings are implemented through both cloud and edge computing to ensure data integrity, safety, performance and longevity for each battery. It will optimize charge and discharge strategies simultaneously, whilst ensuring optimal battery performance and an extended battery life.
FULL LIFE-CYCLE BATTERY UTILIZATION WITH STREAMLINED PROCESS & SIGNIFICANTLY REDUCED COST
Envision AESC uses AIoT technology to precisely predict each individual cell’s reliability and status by statistical modeling. This can simplify the battery detection and screening processes. It will reduce costs and will streamline the process (e.g. technology, safety and economical efficiency) of decommissioned battery packs, dis-assembly, detection, classification and repackaging greatly. The cost saving will enable economically-viable battery recycling in commercial buildings intelligent energy storage, industrial parks and homes, and extract more value from ‘retired’ batteries.
Om the back of the above, have the 1000 Eyes joined any Nissan - BrainChip dots?
Apologies if so and I have missed it
There are multiple gigafactories in various stages of planning and construction across Europe and the US. Would be great to tap into this white hot market
I have come across the below from Envision AESC.
AIOT BATTERY，
BEYOND YOUR IMAGINATION
Automotive Energy Supply Corporation (AESC) is a manufacturer of lithium ion batteries for electric vehicles established 2007 as a joint venture between Nissan, NEC and Tokin Corporation.
Mentioned below is risk prediction, which is tied in with preventing faults. My understanding is this is synonymous with Akida
Does AI tech in batteries also play a part in extending the possible range of travel for EVs?
In the future, we will redefine batteries. We will use innovative materials to increase energy density and decrease the cost. By adopting artificial intelligence, we can predict risks before they appear. Through AIoT, we will turn an electric car into a green mobile personal energy source. It will absorb more green energy, and make power grids more stable and safer.
Through AIoT technology, Envision AESC will optimize battery life cycle management and synergize batteries across-field application, to break through the limitations of power in performance, cost, life cycle, safety and beyond
Combining the world's leading battery electrochemical technology with cutting-edge IoT best energy practices, we use intelligent IoT technology to carry out battery life cycle management optimization and cross-field synergy application which can unlock the value of electric batteries across their whole life cycle.
AIOT IMPROVES PRODUCT DEVELOPMENT EFFICIENCY
Accumulating driving data for over 12 years, Envision AESC optimizes materials formula through AIoT and digitizes battery-use conditions to analyze each mechanism failure. Meanwhile, we also use electrochemical simulation to optimize and accelerate the cell design rhythm and predict the battery life under different working conditions, as well as promote the development of a new generation of products.HUGE DATA COLLECTION ENABLES COMPLETE TRACEABILITY IN PRODUCTION
In the battery production process, the system collects and monitors a large number of processes and battery status parameters. The data covers the entire production chain. At the core manufacturing level, each cell has more than 2,000 data collection points. Through monitoring the target data in real time and corresponding to more than 800 quality control projects in the production process, Envision AESC enables traceable data along the entire production chain.
OEM-LEVEL COOPERATION IN FULL LIFESPAN BATTERY MANAGEMENT
In the past 12 years, Envision AESC has accumulated huge data and industrial know-how through the cooperation with Nissan, enabling us to provide comprehensive power battery system solutions.In the future, we also hope to work with global OEMs to establish full life-cycle data management from battery production to recycling. With this state management, fault warnings are implemented through both cloud and edge computing to ensure data integrity, safety, performance and longevity for each battery. It will optimize charge and discharge strategies simultaneously, whilst ensuring optimal battery performance and an extended battery life.
FULL LIFE-CYCLE BATTERY UTILIZATION WITH STREAMLINED PROCESS & SIGNIFICANTLY REDUCED COST
Envision AESC uses AIoT technology to precisely predict each individual cell’s reliability and status by statistical modeling. This can simplify the battery detection and screening processes. It will reduce costs and will streamline the process (e.g. technology, safety and economical efficiency) of decommissioned battery packs, dis-assembly, detection, classification and repackaging greatly. The cost saving will enable economically-viable battery recycling in commercial buildings intelligent energy storage, industrial parks and homes, and extract more value from ‘retired’ batteries.
Om the back of the above, have the 1000 Eyes joined any Nissan - BrainChip dots?
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ItsKane
Regular
Hmm on second thought maybe not. I believe the ken t-shirts sold out
Slymeat
Move on, nothing to see.
Hey TT77, certainly not speculating. Yep, the quarterlies. Due to the NDA’s & EAP’s & ABC’s an AEIOU’s (sorry, might have gone too far there) it’s my opinion that then is an assumption of an assured payday
I may very well be wrong but I don’t think so
Pantene!
Hi Alfie,You d like this article I recon..
I was trying to find out if they "hey" in " Hey Merecedes " is part of a patent as ive seen other cars using the prefix "Hey" . "Hey BMW" "Hey Ford" "Hey Toyota". "Hey Lexus" "Hey Jaguar"
"Hey Audi" etcor am I going off the beaten track. Could AKIDA be in all the "Heys" might be like looking for a needle in a "Hay" stack..?
It’s not how big your patent portfolio is, but how you use it
Open patents and automotive innovation
My twin-passions of intellectual property and motor vehicles were recently explored, following a relentless search for a seven-seater vehicle that…www.lexology.com
I don't think "hey" is a manner of manufacture, and you'd probly get a knock back for "hay" as well, unless it was genetically engineered.
"invention" means any manner of new manufacture the subject of letters patent and grant of privilege within section 6 of the Statute of Monopolies, and includes an alleged invention.
http://classic.austlii.edu.au/au/legis/cth/consol_act/pa1990109/sch1.html
It also wouldn't pass muster for originality under the copyright act.
MDhere
Top 20
out of hospital last night and free Sunday if u are around ? im better. heart got the all clear.View attachment 3668
....had a great day, family coming over on Sunday for Lunch that's the main thing, and no View attachment 3669 showed up at the CRU bar.......@MDhere
alwaysgreen
Top 20
Didn't Rob used to work at ARM? I wouldn't read too much into it. He's probably a colleague/mate.
Bravo
If ARM was an arm, BRN would be its biceps💪!
That's a 'Neighbours-Be-Gone' otherwise known as a Lilly Pilly plant. But if she snips any closer to him at that height, it won't just be the neighbours that'll be gone, if you catch my drift!
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I like this bit of info off the Mercedes Benz USA website. Read what you want into the meanings behind his statements! I know I have.
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MERCEDES BENZ - USA Website
Neuromorphic computing – a car that thinks like you
Another key efficiency feature of the VISION EQXX that takes its cue from nature is the way it thinks. It uses an innovative form of information processing called neuromorphic computing. The hardware runs spiking neural networks. Information is coded in discrete spikes and energy is only consumed when a spike occurs, which reduces energy consumption by orders of magnitude. Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip's Akida hardware and software. The example in the VISION EQXX is the "Hey Mercedes" key-word detection. Structured along neuromorphic principles, it is five to ten times more efficient than conventional voice control.
Although neuromorphic computing is still in its infancy, systems like these will be available on the market in just a few years. When applied on scale throughout a vehicle, they have the potential to radically reduce the energy needed to run the latest AI technologies.
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What more info do you need to convince you?
If Benz are going to use Akida then so will other Brands within the Company Group.
Yak52
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MERCEDES BENZ - USA Website
Neuromorphic computing – a car that thinks like you
Another key efficiency feature of the VISION EQXX that takes its cue from nature is the way it thinks. It uses an innovative form of information processing called neuromorphic computing. The hardware runs spiking neural networks. Information is coded in discrete spikes and energy is only consumed when a spike occurs, which reduces energy consumption by orders of magnitude. Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip's Akida hardware and software. The example in the VISION EQXX is the "Hey Mercedes" key-word detection. Structured along neuromorphic principles, it is five to ten times more efficient than conventional voice control.
Although neuromorphic computing is still in its infancy, systems like these will be available on the market in just a few years. When applied on scale throughout a vehicle, they have the potential to radically reduce the energy needed to run the latest AI technologies.
--------------------------------------
What more info do you need to convince you?
If Benz are going to use Akida then so will other Brands within the Company Group.
Yak52
So, make it original then.
Describe that auto technolgy as " Heuristic Electrical YouMication ", or 'Hey....' for short. H.e.y. allows "you" to communicatic with whoever you are interacting with at the time (i.e. Hey Mercedes, Hey Ford, Hey BMW,.....etc). It is an ultra low power electrical process via through which your auto communicates and gets to know you better by learning things for themselves and becoming sentient driving companions, or, ........ Heuristic Electrical Youmunication.
uiux
Regular
My thinking is they are mining very close to AKIDA califirnication territory
You don't just step down from one to none without knowing something, plus there's 100 NDASand I'm liking my dot join to HRL labs..afterall PVDM cited their spiking neural networks patent from 2012 in 2025 from memory
Hrl are a competitor producing their own neuromorphic technologies
Dhm
Regular
After the last podcast I checked out Foundries.io and their list of partners is enormous. Plenty to check out there on a quiet Sunday. Sometimes I think I must walk around in a fog, I had never heard of Foundries, but if Brainchip wanted to do a whole podcast with Ian Drew there must be a super duper reason…….
Ps. I seem to have left out Yocto from the slides.
Ps. I seem to have left out Yocto from the slides.
Space Cadet
Regular
Brainchip Podcast: Disruptive Technologies With Foundries.io
Foundries.io Chairman Ian Drew featured on BrainChip Podcast to talk about disruptive technologies and the next generation of IoT technology. Listen here!
Brainchip podcast on foundries website. Why would someone promote a company. A good relationship and planning of something.
I like our chances of being involved here, .................developed by the University?
www.cybersecurityintelligence.com
One reason for the human brain’s incredible power is its ability to rewire itself as it learns. Now, researchers at Purdue University have created electronic circuits that can do the same. The Purdue research team has created a brain-inspired computer chip that could transform the development of human-level AI.
They have demonstrated new circuit components whose functions can be reconfigured with electronic pulses in the form of an innovative circuit capable of rewiring itself as it learns.
This allows them to seamlessly switch between acting as resistors, memory capacitors, artificial neurons, and artificial synapses. The breakthrough opens the door to creating dynamic neural networks in hardware that can rewire themselves as they learn, just like the human brain.
The chip contains “reconfigurable neuromorphic functions”, allowing it to be reprogrammed at room temperature by simple electrical pulses. These pulses generate the different functions of neurons, synapses and memory capacitors, which are crucial for achieving adaptive learning that humans excel at. “The brains of living beings can continuously learn throughout their lifespan. We have now created an artificial platform for machines to learn throughout their lifespan,” said Shriram Ramanathan, a professor in Purdue University’s School of Materials Engineering. “If we want to build a computer or a machine that is inspired by the brain, then correspondingly, we want to have the ability to continuously program, reprogram and change the chip.” he said.
A study describing the breakthrough, published in the journal Science, details how the chip is able to optimise its underlying hardware in order to meet new challenges as they arise.
The researchers tested the chip’s performance on individual devices, before using the data to simulate a large network of them. Through this method, known as reservoir computing, they were able to outperform other theoretical and experimental models at certain learning tasks.
The network was also able to function as a “Grow When Required” (GWR) neural network, which allows it to grow and shrink depending on the size of the task. This optimises the chip’s efficiency in a way that conventional chips are unable to, and allows it to “pick and choose” which circuits are the best fit for addressing problems.
The design of the new chip could also help make artificial intelligence more portable, such as for autonomous vehicles or robots, as the AI could be embedded directly into hardware rather than just running on software. The researchers are now working to demonstrate the chips on a larger scale, with the eventual goal of building a brain-inspired computer.
Rewired: An AI That Can Learn Like A Human Brain
A brain-inspired computer chip that is capable of rewiring itself as it learns,could transform the development of human-level Artificial Intelligence.
One reason for the human brain’s incredible power is its ability to rewire itself as it learns. Now, researchers at Purdue University have created electronic circuits that can do the same. The Purdue research team has created a brain-inspired computer chip that could transform the development of human-level AI.
They have demonstrated new circuit components whose functions can be reconfigured with electronic pulses in the form of an innovative circuit capable of rewiring itself as it learns.
This allows them to seamlessly switch between acting as resistors, memory capacitors, artificial neurons, and artificial synapses. The breakthrough opens the door to creating dynamic neural networks in hardware that can rewire themselves as they learn, just like the human brain.
The chip contains “reconfigurable neuromorphic functions”, allowing it to be reprogrammed at room temperature by simple electrical pulses. These pulses generate the different functions of neurons, synapses and memory capacitors, which are crucial for achieving adaptive learning that humans excel at. “The brains of living beings can continuously learn throughout their lifespan. We have now created an artificial platform for machines to learn throughout their lifespan,” said Shriram Ramanathan, a professor in Purdue University’s School of Materials Engineering. “If we want to build a computer or a machine that is inspired by the brain, then correspondingly, we want to have the ability to continuously program, reprogram and change the chip.” he said.
A study describing the breakthrough, published in the journal Science, details how the chip is able to optimise its underlying hardware in order to meet new challenges as they arise.
The researchers tested the chip’s performance on individual devices, before using the data to simulate a large network of them. Through this method, known as reservoir computing, they were able to outperform other theoretical and experimental models at certain learning tasks.
The network was also able to function as a “Grow When Required” (GWR) neural network, which allows it to grow and shrink depending on the size of the task. This optimises the chip’s efficiency in a way that conventional chips are unable to, and allows it to “pick and choose” which circuits are the best fit for addressing problems.
The design of the new chip could also help make artificial intelligence more portable, such as for autonomous vehicles or robots, as the AI could be embedded directly into hardware rather than just running on software. The researchers are now working to demonstrate the chips on a larger scale, with the eventual goal of building a brain-inspired computer.
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