MrNick
Regular
Might we be moving offices again? If so, it bodes well. Perhaps splitting the technical and sales/marketing/bd teams over two locations.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
FrederikSchack
Regular
Someone, possibly @Diogenese , was making a monstrosity map of all the Brainchip relationships. It used to be on this forum, but now I can't find it.
I have this older version of it:
Attachments
TSMC is there.
Steve10
Regular
Qualcomm counts Apple Inc and Samsung Electronics Co Ltd among its key customers. Other clients include Huawei Technologies, LG Electronics, Oppo, Sony Corp, Vivo and Xiaomi, all of which make smartphones.
Have to look into new product details & release dates for Apple, Samsung, Huawei, LG, Oppo, Sony, Vivo & Xiaomi to identify the ones that will use Prophesee's metavision sensor.
Apple iPhone 15 due mid September 2023.
Huawei Mate 60 & P60 March is too early so March 2024 more likely.
Samsung S23 already released this year so February 2024 best case.
LG Velvet due Q1 2023 is too early so Q1 2024 more likely.
Oppo X6 due March 2023 is too early so March 2024 more likely.
Sony Xperia 1 V due June 2023.
Vivo V27 due March 2023 is too early so March 2024 more likely.
Xiaomi 13 & 13 Pro released last month so February 2024 more likely.
So that leaves Apple iPhone 15 & Sony Xperia 1V for 2023.
Sony 1 V
The rear panel remain home to a triple-camera array, although there could be some upgrades to the sensors.
www.techadvisor.com
Apple iPhone 15
Apple is expected to adopt Sony's latest "state of the art" image sensors for the iPhone 15 models.
www.macrumors.com
Nothing mentioning no blur photos and/or Prophesee sensor only mention of new camera tech/sensors.
If Akida will be in a smartphone this year then might be in Apple iPhone 15 to be released in September.
Otherwise could be Q1 CY2024 when Samsung, Oppo, Vivo etc release their new models.
Have to look into new product details & release dates for Apple, Samsung, Huawei, LG, Oppo, Sony, Vivo & Xiaomi to identify the ones that will use Prophesee's metavision sensor.
Apple iPhone 15 due mid September 2023.
Huawei Mate 60 & P60 March is too early so March 2024 more likely.
Samsung S23 already released this year so February 2024 best case.
LG Velvet due Q1 2023 is too early so Q1 2024 more likely.
Oppo X6 due March 2023 is too early so March 2024 more likely.
Sony Xperia 1 V due June 2023.
Vivo V27 due March 2023 is too early so March 2024 more likely.
Xiaomi 13 & 13 Pro released last month so February 2024 more likely.
So that leaves Apple iPhone 15 & Sony Xperia 1V for 2023.
Sony 1 V
The rear panel remain home to a triple-camera array, although there could be some upgrades to the sensors.
Sony Xperia 1 V will launch next week
Sony has once again updated its high end Xperia with more subtle camera upgrades
www.techadvisor.com
Apple iPhone 15
- The 2023 iPhone 15 models are expected to feature USB-C instead of Lightning, solid-state volume and power buttons, new camera technology, and more.
Apple is expected to adopt Sony's latest "state of the art" image sensors for the iPhone 15 models.
iPhone 15: Should You Buy? Advice, Features, Ordering
The 2023 iPhone 15 models feature USB-C instead of Lightning, faster A16 chip, the Dynamic Island instead of a notch in the display, upgraded camera...
www.macrumors.com
Nothing mentioning no blur photos and/or Prophesee sensor only mention of new camera tech/sensors.
If Akida will be in a smartphone this year then might be in Apple iPhone 15 to be released in September.
Otherwise could be Q1 CY2024 when Samsung, Oppo, Vivo etc release their new models.
Fact Finder
Top 20
Someone in last couple of days posted an article or a post from Mercedes Benz which made this clear. It is all part of the AKIDA customisation possible as it can recognise not just the command but the individual speaker.
Go and look at the Brainchip video where various staff members are getting into and out of a BMW with Hey AKIDA voice. When they each said Hey AKIDA it replied identifying each by their correct name.
It is only a short step with LSTM & Transformers for NLP for AKIDA to recognise the authorised driver is sitting in the driver’s seat and is providing commands it needs to respond too.
My opinion only DYOR
FF
AKIDA BALLISTA
Dallas
Regular
NASA’s Autonomous Aircraft Decision Tech Gets Simulated Urban Test - NASA
Cities are complicated places to fly, presenting challenges – both known and unpredictable – for current and future air vehicles. But creating new air mobility solutions to move people and cargo will require addressing those challenges. And that’s where NASA’s Data & Reasoning Fabric project can...
www.nasa.gov
Dallas
Regular
To achieve its goals, DRF uses edge computing, a system where data is handled, processed, and stored locally — at the “edge” of the network — rather than being sent to a cloud or data center. This reduces the delays associated with transferring large data sets and enables faster decision-making in time-sensitive situations
Learning
Learning to the Top 🕵♂️
Here is my wild speculation! From searching Google Map
.The old El Toro Marine Air Staion had been decommissioning 23 years ago. And had been sold for development.
At the site now had an technology precinct;
Dropped pin
33°39'53.4"N 117°43'42.6"W · Great Park, Irvine, CA, USA
Great Park, Irvine, CA, USA
What is intresting is;
Microchip Technology Inc
Dell EMC
Amazon Web Services
And other co at this precinct.
Just intresting that's the above company is at the site.
But then again, BrainChip could be getting an extra office space, as the Laguna Hill Office is getting small with the increase of staffs.
Just my Tuesday opinion.
Learning 🏖
Dallas
Regular
Sapphire Rapids-EE: Intel stellt spezielle CPUs für vRAN vor - Hardwareluxx
Sapphire Rapids-EE: Intel stellt spezielle CPUs für vRAN vor.
Tothemoon24
Top 20
This article is from ONLY 28 months ago .
Look how far we have come in such a short time frame.
The early access program , what a stroke of genius that’s going to turn out to be .
Speaking of the word genius = Anil Mankar
Naushad K. Cherrayil
-
October 12, 2020
0
https://www.facebook.com/sharer.php...rial-automation-with-neuromorphic-chip-akida/
https://twitter.com/intent/tweet?te...neuromorphic-chip-akida/&via=TechChannel+News
https://pinterest.com/pin/create/bu...trial+automation+with+neuromorphic+chip+Akida
https://api.whatsapp.com/send?text=...rial-automation-with-neuromorphic-chip-akida/
Neuromorphic computing is the next level of artificial intelligence and it aims to create a system similar to how neurons fire and interact in the human brain.
IBM has TrueNorth and Intel has Loihi but they are used for research purposes and not for commercial use.
But one company that is trying to cash in on industrial automation is the Australian-listed tech company – BrainChip – which is bringing artificial intelligence to the edge in a way that is beyond the capabilities of other products.
“Both IBM and Intel have neuromorphic chips but our chip is more efficient than others and we go one step further, it can convert CNN to SNN or to native SNN,” Anil Mankar, Chief Development Officer and Co-Founder at BrainChip, told Tech Channel News.
Convolutional Neural Networks (CNNs) are a category of neural networks that have proven very effective in identifying faces, objects and traffic signs apart from powering vision in robots and self-driving cars and are widely used in pattern recognition and image processing.
Spiking Neural Networks (SNN) is the next generation of machine learning and operates using spikes, which are discrete events that take place at points in time, rather than continuous values.
BrainChip has a new neuromorphic processor knows as Akida, the Greek word for a spike, which can solve today’s CNN problems and is ready for third-generation of AI – SNN.
“There is a lot of algorithms developed for CNN and there is a lot of algorithms that are not yet developed for CNN. Akida can have 1.2 million neurons and 100 billion synapses, the electricity going from the brain to give action, compared to Intel’s Loihi chip has 128,000 neurons and 100 million synapses and our efficiency is better than IBM and Intel,” Mankar said.
In Deep Learning Accelerator (DLA), he said that there is no real learning in that and you are training it for a dataset.
“When a child sees a dog, his mother has to tell him that it is a dog and his brain stores it. Next time, when he sees a dog, he knows that it is a dog. Instead of this, if his mother shows the dog picture and tells it is a cat, the child’s brain stores it as a cat,” he said.
Anil Mankar, Chief Development Officer and Co-Founder at BrainChip.
However, in a neuromorphic environment, he said that it can learn from the repetitive patterns coming in from the spikes, which means similar to what the human brain does and the neuromorphic hardware learn all the five senses which DLA does not do that.
“Our chip can do what DLA does such as audio signature, keyword spotting, finding objects or classification in video frames like a CNN do but what neuromorphic hardware does it very well is finding unsupervised learning of finding patterns what you don’t know by looking at the events that are coming in and learning from that, with on-chip learning, and you can label it afterwards,” he said.
With incremental learning, he said that new classifiers can be added to the network without retraining the entire network.
At the edge, sensor inputs are analysed at the point of acquisition rather than through transmission via the cloud to a data centre.
BrainChip has signed several important partnerships over the past several months with Ford, Valeo and most recently with Vorago for developing AI solutions for NASA.
The BrainChip Early Access Program is available to a select group of customers that require early access to the Akida device, evaluation boards and dedicated support.
“Many edge-AI processors take advantage of the spatial sparsity in neural network models to eliminate unnecessary computations and save power but neuromorphic processors achieve further savings by performing an event-based computation, which exploits the temporal sparsity inherent in data generated by audio, vision, olfactory, lidar and other edge sensors,” Mankar said.
Moreover, he said that neuromorphic chips can play a big part in machine learning if it is close to the sensor and can make the sensor smart.
“What we have taken, so far, is baby steps to make algorithms that mimic how the brain does something which is low power. The industry is still very niche and it will hundreds of years for us to understand the brain because it is complex and there are columns in the brain. Nobody can match the human capacity to detect objects,” he said.
A human brain has 88 billion neurons and 100 trillion synapses and in 20W ultra-low power.
“Everybody is moving away from computational-based deep learning to neuromorphic. Intel has a research chip and researchers are using it to find new algorithms in neuromorphic hardware,” he said.
However, Mankar said that they are not going after the research but to commercialise the product for current applications.
The 28nm chip costs close to $15 for mass volumes.
BrainChip does not want to rest on its laurels and has already started R&D on next-generation neuromorphic chip with memory.
Look how far we have come in such a short time frame.
The early access program , what a stroke of genius that’s going to turn out to be .
Speaking of the word genius = Anil Mankar
BrainChip aims to cash in on industrial automation with neuromorphic chip Akida
ByNaushad K. Cherrayil
-
October 12, 2020
0
https://www.facebook.com/sharer.php...rial-automation-with-neuromorphic-chip-akida/
https://twitter.com/intent/tweet?te...neuromorphic-chip-akida/&via=TechChannel+News
https://pinterest.com/pin/create/bu...trial+automation+with+neuromorphic+chip+Akida
https://api.whatsapp.com/send?text=...rial-automation-with-neuromorphic-chip-akida/
- Deep research is happening in the neuromorphic space, led by Intel, IBM, MIT, Stanford and others.
- Akida can solve today’s Convolutional Neural Networks problems and is ready for third-generation of AI – Spiking Neural Networks.
- The on-chip learning helps to add new classifiers to the network without retraining the entire network.
- Neuromorphic hardware is very good at finding an abnormality in a data pattern without the need to retrain in the cloud.
Neuromorphic computing is the next level of artificial intelligence and it aims to create a system similar to how neurons fire and interact in the human brain.
IBM has TrueNorth and Intel has Loihi but they are used for research purposes and not for commercial use.
But one company that is trying to cash in on industrial automation is the Australian-listed tech company – BrainChip – which is bringing artificial intelligence to the edge in a way that is beyond the capabilities of other products.
“Both IBM and Intel have neuromorphic chips but our chip is more efficient than others and we go one step further, it can convert CNN to SNN or to native SNN,” Anil Mankar, Chief Development Officer and Co-Founder at BrainChip, told Tech Channel News.
Convolutional Neural Networks (CNNs) are a category of neural networks that have proven very effective in identifying faces, objects and traffic signs apart from powering vision in robots and self-driving cars and are widely used in pattern recognition and image processing.
Spiking Neural Networks (SNN) is the next generation of machine learning and operates using spikes, which are discrete events that take place at points in time, rather than continuous values.
BrainChip has a new neuromorphic processor knows as Akida, the Greek word for a spike, which can solve today’s CNN problems and is ready for third-generation of AI – SNN.
“There is a lot of algorithms developed for CNN and there is a lot of algorithms that are not yet developed for CNN. Akida can have 1.2 million neurons and 100 billion synapses, the electricity going from the brain to give action, compared to Intel’s Loihi chip has 128,000 neurons and 100 million synapses and our efficiency is better than IBM and Intel,” Mankar said.
No real learning in DLA
The Akida neural processor analyses data such as images, sounds, data patterns, and other sensor data and extracts useful information generated from events in the data.In Deep Learning Accelerator (DLA), he said that there is no real learning in that and you are training it for a dataset.
“When a child sees a dog, his mother has to tell him that it is a dog and his brain stores it. Next time, when he sees a dog, he knows that it is a dog. Instead of this, if his mother shows the dog picture and tells it is a cat, the child’s brain stores it as a cat,” he said.
However, in a neuromorphic environment, he said that it can learn from the repetitive patterns coming in from the spikes, which means similar to what the human brain does and the neuromorphic hardware learn all the five senses which DLA does not do that.
“Our chip can do what DLA does such as audio signature, keyword spotting, finding objects or classification in video frames like a CNN do but what neuromorphic hardware does it very well is finding unsupervised learning of finding patterns what you don’t know by looking at the events that are coming in and learning from that, with on-chip learning, and you can label it afterwards,” he said.
With incremental learning, he said that new classifiers can be added to the network without retraining the entire network.
Living on the edge
Neuromorphic hardware is very good at finding an abnormality in a data pattern without the need to retrain in the cloud and can benefit sectors such as security, smart cities, home building, automation, autonomous driving, IoT, medical, drones and biometric.At the edge, sensor inputs are analysed at the point of acquisition rather than through transmission via the cloud to a data centre.
BrainChip has signed several important partnerships over the past several months with Ford, Valeo and most recently with Vorago for developing AI solutions for NASA.
The BrainChip Early Access Program is available to a select group of customers that require early access to the Akida device, evaluation boards and dedicated support.
“Many edge-AI processors take advantage of the spatial sparsity in neural network models to eliminate unnecessary computations and save power but neuromorphic processors achieve further savings by performing an event-based computation, which exploits the temporal sparsity inherent in data generated by audio, vision, olfactory, lidar and other edge sensors,” Mankar said.
Moreover, he said that neuromorphic chips can play a big part in machine learning if it is close to the sensor and can make the sensor smart.
“What we have taken, so far, is baby steps to make algorithms that mimic how the brain does something which is low power. The industry is still very niche and it will hundreds of years for us to understand the brain because it is complex and there are columns in the brain. Nobody can match the human capacity to detect objects,” he said.
A human brain has 88 billion neurons and 100 trillion synapses and in 20W ultra-low power.
Product commercialisation
“Neuromorphic hardware will allow the machines to do exactly what all the five senses – see, hear, smell, touch and taste – of the human being do just to see, differentiate and classify them.“Everybody is moving away from computational-based deep learning to neuromorphic. Intel has a research chip and researchers are using it to find new algorithms in neuromorphic hardware,” he said.
However, Mankar said that they are not going after the research but to commercialise the product for current applications.
The 28nm chip costs close to $15 for mass volumes.
BrainChip does not want to rest on its laurels and has already started R&D on next-generation neuromorphic chip with memory.
Damo4
Regular
I wonder how good the "always on" function will be.
My Google homes are supposed await a "hey Google" yet I'm being interrupted by them constantly when speaking to my wife or when the TV says something close.
I'd hate to be driving, complaining about someone: "don't you hate it when people just MERGE RIGHT WITHOUT INDICATING"and we swerve into a ditch haha
KMuzza
Mad Scientist
Hi FF -
Why is Qualcomm still persuing this old system - or do you reckon that they will eventually see the best way is with a 'NON VAN N" system.
Akida is so much faster /latency comparison - but still Qualcom is persuing this old system.-
Will the IP possibly be included to get SNAPDRAGON up to speed.
AKIDA BALLISTA UBQTS
KMuzza
Mad Scientist
The Snapdragon Auto 5G Modem-RF Gen 2 is 3rd Generation Partnership Project (3GPP) Release 16-compliant and is being sampled by global automakers worldwide for expected commercially availability in late 2023.Hi FF -
Why is Qualcomm still persuing this old system - or do you reckon that they will eventually see the best way is with a 'NON VAN N" system.
Akida is so much faster /latency comparison - but still Qualcom is persuing this old system.-
Will the IP possibly be included to get SNAPDRAGON up to speed.
AKIDA BALLISTA UBQTS
“As the culmination of Qualcomm Incorporated’s more than 20-year history connecting cars with our telematics or auto connectivity platform, the Snapdragon Auto 5G Modem-RF Gen 2 further harnesses the power of 5G for vehicles to assist automakers in democratizing access to smart, connected vehicle experiences,” said Nakul Duggal, senior vice president and GM, automotive, Qualcomm Technologies, Inc. “5G will continue to unlock the future of automotive and transportation, and we’re proud to accelerate the pace of wireless innovation in these industries.”
With advanced automotive connectivity solutions, Qualcomm Technologies continues to drive the deployment of 5G-connected vehicles across the globe with technology collaborations with leading companies like LG Electronics, Valeo, Continental, JOYNEXT, Rolling Wireless, Quectel, WNC and LG Innotek. Quotes from select partners can be found here.
QUOTE-"Nakul Duggal, senior vice president and GM, automotive, Qualcomm Technologies, Inc. “5G will continue to unlock the future of automotive and transportation, and we’re proud to accelerate the pace of wireless innovation in these industries.”- UNQUOTE.
QUOTE-" We don't need 5G" UNQUOTE - BrainChip CTO - Sir Pvd M .
Is this how far the Brainchip 3 year advance is - or is there someone else manufacturing a commercial available neuromorphic chip.
AKIDA BALLISTA UBQTS
Last edited:
Easytiger
Regular
The additional Prophesee chip will help correct some of the blurry imagery in existing smartphone camera systems, said Verre.Qualcomm counts Apple Inc and Samsung Electronics Co Ltd among its key customers. Other clients include Huawei Technologies, LG Electronics, Oppo, Sony Corp, Vivo and Xiaomi, all of which make smartphones.
Have to look into new product details & release dates for Apple, Samsung, Huawei, LG, Oppo, Sony, Vivo & Xiaomi to identify the ones that will use Prophesee's metavision sensor.
Apple iPhone 15 due mid September 2023.
Huawei Mate 60 & P60 March is too early so March 2024 more likely.
Samsung S23 already released this year so February 2024 best case.
LG Velvet due Q1 2023 is too early so Q1 2024 more likely.
Oppo X6 due March 2023 is too early so March 2024 more likely.
Sony Xperia 1 V due June 2023.
Vivo V27 due March 2023 is too early so March 2024 more likely.
Xiaomi 13 & 13 Pro released last month so February 2024 more likely.
So that leaves Apple iPhone 15 & Sony Xperia 1V for 2023.
Sony 1 V
View attachment 30851
The rear panel remain home to a triple-camera array, although there could be some upgrades to the sensors.
Sony Xperia 1 V will launch next week
Sony has once again updated its high end Xperia with more subtle camera upgrades
Apple iPhone 15
View attachment 30852
Apple will use Qualcomm modem chips for the new devices as its own modem chips aren't quite ready.
- The 2023 iPhone 15 models are expected to feature USB-C instead of Lightning, solid-state volume and power buttons, new camera technology, and more.
Apple is expected to adopt Sony's latest "state of the art" image sensors for the iPhone 15 models.
iPhone 15: Should You Buy? Advice, Features, Ordering
The 2023 iPhone 15 models feature USB-C instead of Lightning, faster A16 chip, the Dynamic Island instead of a notch in the display, upgraded camera...
Nothing mentioning no blur photos and/or Prophesee sensor only mention of new camera tech/sensors.
If Akida will be in a smartphone this year then might be in Apple iPhone 15 to be released in September.
Otherwise could be Q1 CY2024 when Samsung, Oppo, Vivo etc release their new models.
NON BRN related but for BRN holders with super
From Xiaomi’s latest release MIU4::On-device privacyYour data is with you and you only since they will be fully processed on your own deviceQualcomm counts Apple Inc and Samsung Electronics Co Ltd among its key customers. Other clients include Huawei Technologies, LG Electronics, Oppo, Sony Corp, Vivo and Xiaomi, all of which make smartphones.
Have to look into new product details & release dates for Apple, Samsung, Huawei, LG, Oppo, Sony, Vivo & Xiaomi to identify the ones that will use Prophesee's metavision sensor.
Apple iPhone 15 due mid September 2023.
Huawei Mate 60 & P60 March is too early so March 2024 more likely.
Samsung S23 already released this year so February 2024 best case.
LG Velvet due Q1 2023 is too early so Q1 2024 more likely.
Oppo X6 due March 2023 is too early so March 2024 more likely.
Sony Xperia 1 V due June 2023.
Vivo V27 due March 2023 is too early so March 2024 more likely.
Xiaomi 13 & 13 Pro released last month so February 2024 more likely.
So that leaves Apple iPhone 15 & Sony Xperia 1V for 2023.
Sony 1 V
View attachment 30851
The rear panel remain home to a triple-camera array, although there could be some upgrades to the sensors.
Sony Xperia 1 V will launch next week
Sony has once again updated its high end Xperia with more subtle camera upgrades
Apple iPhone 15
View attachment 30852
Apple will use Qualcomm modem chips for the new devices as its own modem chips aren't quite ready.
- The 2023 iPhone 15 models are expected to feature USB-C instead of Lightning, solid-state volume and power buttons, new camera technology, and more.
Apple is expected to adopt Sony's latest "state of the art" image sensors for the iPhone 15 models.
iPhone 15: Should You Buy? Advice, Features, Ordering
The 2023 iPhone 15 models feature USB-C instead of Lightning, faster A16 chip, the Dynamic Island instead of a notch in the display, upgraded camera...
Nothing mentioning no blur photos and/or Prophesee sensor only mention of new camera tech/sensors.
If Akida will be in a smartphone this year then might be in Apple iPhone 15 to be released in September.
Otherwise could be Q1 CY2024 when Samsung, Oppo, Vivo etc release their new models.
Fact Finder
Top 20
I suppose the Board of Kodak that voted not to immediately adopt digital camera technology and cling to film could explain the logic of sticking like glue to the existing technology paradigm.Hi FF -
Why is Qualcomm still persuing this old system - or do you reckon that they will eventually see the best way is with a 'NON VAN N" system.
Akida is so much faster /latency comparison - but still Qualcom is persuing this old system.-
Will the IP possibly be included to get SNAPDRAGON up to speed.
AKIDA BALLISTA UBQTS
A clients grandfather owned the main Sydney brick carting business. He had multiple teams of great horses to pull his brick carts.
When petrol engined trucks were introduced by his much smaller competitors he sought the opinion of his two sons.
One wanted to move to this new technology. One argued strongly against the idea on the basis that horses were better and the cost of switching was not justified.
The decision to stick with horses was a disaster and they went broke.
In the American War of Independence the British stuck with the tried and tested tactics for warfare against an enemy that did not and engaged in a much more modern approach to combating a superior force and the rest was history. The British stuck like glue to the tactics rather than change.
Change creates risk of failure. Failure as a result of change is quickly achieved and blame easily apportioned because you can identify who made the decision.
Not changing does not lead to sudden failure and is harder to attribute to the decision of one person because no decision was made.
While Brainchip has visionaries to spare this is not necessarily the case where huge institutionalised companies like Qualcomm is concerned.
A comfortable assured future can be destroyed by making a bold visionary decision if it is wrong or before it’s time.
My opinion only DYOR
FF
AKIDA BALLISTA
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