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KYNAN ENG
Despite millions of years of evolution, the human eye has yet to develop the ability to take and reproduce pictures of the type seen in photographs. It is, however, exceptionally adept at responding to changes in environment and the surrounding world in a faster and much more efficient way than cameras and computers currently can. With this intention and taking inspiration from the brain we have been working for several years on creating a camera that possesses the same ability, as that of the human eye, through the process of neuromorphic engineering. Our co-founders have been involved in this field for several decades, working at some of the world’s top research institutes, such as ETH Zurich, Oxford and Caltech.
Neuromorphic engineering replicates the key elements of visual sensing and processing similar to those used by the retina and visual cortex in the human eye and brain. This means that, though it is a computer chip used to inform sensors and cameras, it works in some ways like a biological eye that has the power to capture and process high-quality images. Neuromorphic sensors can directly sense fast changes, again much like the human eye can, and it sends that imagery to be processed. By allowing each pixel to record independently and only when triggered, movement is captured as a continuous stream of information, as opposed to frame by frame. This approach reduces the amount of data we need to send, which reduces the power consumption and also greatly improves the responsiveness of the camera. It allows for the total re-imagination of vision processing for cameras and because of this a neuromorphic sensor can generate up to a 1000 times less data, while still responding incredibly quickly, rendering the entire process significantly faster and much more efficient.
Our mission is to design and develop sensors and software that empower technology to rapidly see and understand the world. In our latest sensor, each pixel can independently output not just its current value, but it can also work in event mode in which it outputs changes in intensity. This mode compresses the output to only provide data when a change is detected. An additional level of compression is provided by grouping adjacent pixels that are changing in a similar way. The overall effect is to provide very fast, compressed data with much lower power and bandwidth requirements compared with a normal full-frame sensor readout. This allows for unprecedented advantages over conventional camera systems, such as ultra-low response latency, low, informative data rates and low power consumption.
A 2022 report from McKinsey identified neuromorphic computing as one of the top ten technology trends that have the potential to reshape the future of several markets and industries in the coming decades. It noted that next-generation computing could help solve pressing societal issues by giving corporations access to previously unattainable levels of functionality. The report further states that neuromorphic event cameras provide faster vision-based control and object tracking, with a high-potential to impact the world of technology. At iniVation we have created an ecosystem of over 700 customers and partners that, for the first time, are applying our technology in a real-world setting. Partners are deploying our tech in areas such as smart homeIoT, industrial monitoring and even cubesats and the International Space Station.
Not only destined for the wider solar system, iniVation’s sensors offer a broad range of every day real world capabilities. Our highly intelligent and efficient machine vision can enable robots and vehicles to work independently of humans. This is a huge step forward for dangerous, repetitive tasks that come with a risk and are carried out by a human workforce. Neuromorphic robots have the potential to run autonomously for long periods, in situations that pose a risk to safety. Take for example mining, widely considered to be one of the most dangerous jobs in the world, where workers are routinely exposed to possible cave-ins, explosions and toxic air. Neuromorphic technology has the potential to make this and many more industries significantly safer by deploying robots with highly efficient, ultra-fast sensing capabilities to carry out the more perilous aspects of an occupation.
It is not solely industrial inspection that can benefit from this technology. In fact, any scenario that utilises cameras can implement this technology, including in factories, robotics, consumer electronics and the field of aerospace. In particular it can be used to enable the development of extremely power-efficient devices for next generation wearables in AR, VR and IoT.
Having successfully established our technology in industrial and scientific settings, we are focused now on entering more broadly into the areas of consumer electronics, mobile robotics and automotive. Ultimately, there is scope to implement our technology into nearly every sector, and indeed every aspect of camera sensing and imaging. We are looking forward to creating a future in which our machines can see and understand the world just as well as we ourselves can.
Kynan Eng is the CEO and co-founder of iniVation, based in Zurich, Switzerland. With a wealth of experience at the intersection of neuroscience, engineering and human-computer interaction, he oversees the design and production of ultra-high performance vision sensors and software for automation, robotics, consumer electronics, and aerospace. His co-founders helped event the field of event-based neuromorphic vision. He has been the recipient of a CES Best of Innovation award and a Red Dot Award. Through his involvement with iniVation and other deep tech startups, he has seen these ventures raise over $20M in research and venture funding. He holds degrees in computer science, applied mathematics, mechanical engineering from Monash University Melbourne and a PhD from ETH Zurich.
Written by
KYNAN ENG
CEO AND CO-FOUNDER OF INIVATION
APRIL 20, 2023
How Neuromorphic vision sensors will change the world
Kynan Eng CEO and co-founder of iniVation, explains his radical new sensor technologyBy
KYNAN ENG
Despite millions of years of evolution, the human eye has yet to develop the ability to take and reproduce pictures of the type seen in photographs. It is, however, exceptionally adept at responding to changes in environment and the surrounding world in a faster and much more efficient way than cameras and computers currently can. With this intention and taking inspiration from the brain we have been working for several years on creating a camera that possesses the same ability, as that of the human eye, through the process of neuromorphic engineering. Our co-founders have been involved in this field for several decades, working at some of the world’s top research institutes, such as ETH Zurich, Oxford and Caltech.
Neuromorphic engineering replicates the key elements of visual sensing and processing similar to those used by the retina and visual cortex in the human eye and brain. This means that, though it is a computer chip used to inform sensors and cameras, it works in some ways like a biological eye that has the power to capture and process high-quality images. Neuromorphic sensors can directly sense fast changes, again much like the human eye can, and it sends that imagery to be processed. By allowing each pixel to record independently and only when triggered, movement is captured as a continuous stream of information, as opposed to frame by frame. This approach reduces the amount of data we need to send, which reduces the power consumption and also greatly improves the responsiveness of the camera. It allows for the total re-imagination of vision processing for cameras and because of this a neuromorphic sensor can generate up to a 1000 times less data, while still responding incredibly quickly, rendering the entire process significantly faster and much more efficient.
Our mission is to design and develop sensors and software that empower technology to rapidly see and understand the world. In our latest sensor, each pixel can independently output not just its current value, but it can also work in event mode in which it outputs changes in intensity. This mode compresses the output to only provide data when a change is detected. An additional level of compression is provided by grouping adjacent pixels that are changing in a similar way. The overall effect is to provide very fast, compressed data with much lower power and bandwidth requirements compared with a normal full-frame sensor readout. This allows for unprecedented advantages over conventional camera systems, such as ultra-low response latency, low, informative data rates and low power consumption.
A 2022 report from McKinsey identified neuromorphic computing as one of the top ten technology trends that have the potential to reshape the future of several markets and industries in the coming decades. It noted that next-generation computing could help solve pressing societal issues by giving corporations access to previously unattainable levels of functionality. The report further states that neuromorphic event cameras provide faster vision-based control and object tracking, with a high-potential to impact the world of technology. At iniVation we have created an ecosystem of over 700 customers and partners that, for the first time, are applying our technology in a real-world setting. Partners are deploying our tech in areas such as smart homeIoT, industrial monitoring and even cubesats and the International Space Station.
Not only destined for the wider solar system, iniVation’s sensors offer a broad range of every day real world capabilities. Our highly intelligent and efficient machine vision can enable robots and vehicles to work independently of humans. This is a huge step forward for dangerous, repetitive tasks that come with a risk and are carried out by a human workforce. Neuromorphic robots have the potential to run autonomously for long periods, in situations that pose a risk to safety. Take for example mining, widely considered to be one of the most dangerous jobs in the world, where workers are routinely exposed to possible cave-ins, explosions and toxic air. Neuromorphic technology has the potential to make this and many more industries significantly safer by deploying robots with highly efficient, ultra-fast sensing capabilities to carry out the more perilous aspects of an occupation.
It is not solely industrial inspection that can benefit from this technology. In fact, any scenario that utilises cameras can implement this technology, including in factories, robotics, consumer electronics and the field of aerospace. In particular it can be used to enable the development of extremely power-efficient devices for next generation wearables in AR, VR and IoT.
Having successfully established our technology in industrial and scientific settings, we are focused now on entering more broadly into the areas of consumer electronics, mobile robotics and automotive. Ultimately, there is scope to implement our technology into nearly every sector, and indeed every aspect of camera sensing and imaging. We are looking forward to creating a future in which our machines can see and understand the world just as well as we ourselves can.
Kynan Eng is the CEO and co-founder of iniVation, based in Zurich, Switzerland. With a wealth of experience at the intersection of neuroscience, engineering and human-computer interaction, he oversees the design and production of ultra-high performance vision sensors and software for automation, robotics, consumer electronics, and aerospace. His co-founders helped event the field of event-based neuromorphic vision. He has been the recipient of a CES Best of Innovation award and a Red Dot Award. Through his involvement with iniVation and other deep tech startups, he has seen these ventures raise over $20M in research and venture funding. He holds degrees in computer science, applied mathematics, mechanical engineering from Monash University Melbourne and a PhD from ETH Zurich.
Written by
KYNAN ENG
CEO AND CO-FOUNDER OF INIVATION
APRIL 20, 2023
Proga
Regular
Apologies if this has been posted before. Goes on sale later in the year. It has the new generation MBUX we've been waiting for. Fingers crossed. I've been looking through youtube videos which review the unveiled 2024 MB models so far and all models seem to have the new gen MBUX but have different levels of features you can access. Not surprised.
www.mbusa.com
Design
- New-generation MBUX Multimedia System with Augmented Reality Navigation system, including Natural Language Understanding and Keyword Activation (“Hey Mercedes”) and “Just Talk” function
- Available MBUX Superscreen
- Available DIGITAL LIGHT with Projections
- Up to 21” flush-fitted wheels
The Mid-Size E-Class Sedan
Elegance and intelligence abound in the E-Class Sedan. See design, performance and technology features, as well as models, pricing, photos and more.
wilzy123
Founding Member
Report the post if you think it violates terms of use
cosors
👀
Research Background and Current Status of MEMS IMU
...neural network
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cosors
👀
I did. Under the rules I could only find this:
No Spamming or Self-Promotion: Self-promotion, ...
I have no idea whether that is sufficient or appropriate. But with his logo I think it's clear. But that only applies to me and I don't know how Dreddb0t or zeeb0t see it.
cosors
👀
Just the good news again because I really like Reuters. They helped us a lot with TLG recently with an article.
"Technology
July 19, 20236:28 AM GMT+2Updated 10 hours ago
July 19 (Reuters) - Australia's BrainChip Holdings Ltd (BRN.AX) surged nearly 11% to mark its best day in six weeks after the advanced artificial intelligence chipmaker received a patent grant in the United States on one of its neuromorphic processors.
Neuromorphic processors mimic the way the brain works and allow devices to use signals from physical neurons to carry out computations.
Shares of BrainChip were trading 7.4% higher at A$0.3975 at 0337 GMT, their highest level since June 19, and were the biggest gainers on the ASX 200 benchmark index (.AXJO).
More than 11.3 million shares had changed hands, nearly double the 30-day average of around 6.4 million.
The patent protects the neural processor's feature of reconfigurability, which "provides a significant advantage, enabling the development of multipurpose and cost-effective hardware designs", BrainChip said.
BrainChip now has 17 issued patents, with around 30 patent applications pending in the United States, Europe, Australia, Canada, Japan, Korea, India, among others.
Reporting by Sameer Manekar in Bengaluru; Editing by Nivedita Bhattacharjee"
https://www.reuters.com/technology/...r-brainchip-up-11-us-patent-grant-2023-07-19/
Both Reuters employees work in Bangalore India.
"Technology
Australian AI chipmaker BrainChip up 11% on U.S. patent grant
ReutersJuly 19, 20236:28 AM GMT+2Updated 10 hours ago
July 19 (Reuters) - Australia's BrainChip Holdings Ltd (BRN.AX) surged nearly 11% to mark its best day in six weeks after the advanced artificial intelligence chipmaker received a patent grant in the United States on one of its neuromorphic processors.
Neuromorphic processors mimic the way the brain works and allow devices to use signals from physical neurons to carry out computations.
Shares of BrainChip were trading 7.4% higher at A$0.3975 at 0337 GMT, their highest level since June 19, and were the biggest gainers on the ASX 200 benchmark index (.AXJO).
More than 11.3 million shares had changed hands, nearly double the 30-day average of around 6.4 million.
The patent protects the neural processor's feature of reconfigurability, which "provides a significant advantage, enabling the development of multipurpose and cost-effective hardware designs", BrainChip said.
BrainChip now has 17 issued patents, with around 30 patent applications pending in the United States, Europe, Australia, Canada, Japan, Korea, India, among others.
Reporting by Sameer Manekar in Bengaluru; Editing by Nivedita Bhattacharjee"
https://www.reuters.com/technology/...r-brainchip-up-11-us-patent-grant-2023-07-19/
Both Reuters employees work in Bangalore India.
But they left out this bit:
While this will be good news if Brainchip develops a product that the world wants, it hasn’t been looking good on the commercial front over the last 12 months. Earlier this year management essentially admitted that its much-hyped first iteration was a flop and is now working on its new offering.
https://www.fool.com.au/2023/07/19/brainchip-share-price-up-11-on-valuable-us-patent-news/
cosors
👀
This flop seems to be taking it personally with Brainchip.)
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Sirod69
bavarian girl ;-)
On wallstreet-online
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, was awarded its latest US patent, further strengthening the company's neuromorphic technology portfolio and demonstrating the company’s competitive research strength.
Patent No. US 11,704,549, “Event-Based Classification of Features in a Reconfigurable and Temporally Coded Convolutional Spiking Neural Network,” protects BrainChip’s neuromorphic processor, which is configured to perform convolutions on digital input data that has been converted into spikes. Additionally, the patent safeguards the feature of reconfigurability in a neural processor, which enables the development of multipurpose and cost-effective hardware designs, such as Akida.
“Patents are hallmarks of a company’s innovation, domain expertise and prowess in pushing the bounds of technology,” said Nandan Nayampally, Chief Marketing Officer at BrainChip. “This latest award from the USPTO not only protects our unique approach to neuromorphic computing and learning, but further enhances the commercial value of our IP. We continually strive to extend our portfolio of assets to ensure that customers and partners gain competitive advantages through our technology.”
BrainChip’s portfolio now comprises seventeen issued patents (12 US, 3 Australian, 1 European and 1 Chinese). An additional thirty patent applications remain pending in the US, Europe, Australia, Canada, Japan, Korea, India, Brazil, Russia, Mexico, and Israel.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, AkidaTM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
BrainChip's Latest US Patent Award Extends Intellectual Property Strength and its Leadership in Edge Learning
Business Wire (engl.) | 19.07.2023, 21:59BrainChip 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, was awarded its latest US patent, further strengthening the company's neuromorphic technology portfolio and demonstrating the company’s competitive research strength.
Patent No. US 11,704,549, “Event-Based Classification of Features in a Reconfigurable and Temporally Coded Convolutional Spiking Neural Network,” protects BrainChip’s neuromorphic processor, which is configured to perform convolutions on digital input data that has been converted into spikes. Additionally, the patent safeguards the feature of reconfigurability in a neural processor, which enables the development of multipurpose and cost-effective hardware designs, such as Akida.
“Patents are hallmarks of a company’s innovation, domain expertise and prowess in pushing the bounds of technology,” said Nandan Nayampally, Chief Marketing Officer at BrainChip. “This latest award from the USPTO not only protects our unique approach to neuromorphic computing and learning, but further enhances the commercial value of our IP. We continually strive to extend our portfolio of assets to ensure that customers and partners gain competitive advantages through our technology.”
BrainChip’s portfolio now comprises seventeen issued patents (12 US, 3 Australian, 1 European and 1 Chinese). An additional thirty patent applications remain pending in the US, Europe, Australia, Canada, Japan, Korea, India, Brazil, Russia, Mexico, and Israel.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, AkidaTM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
supersonic001
Regular
BrainChip on LinkedIn: BrainChip's Latest US Patent Award Extends Intellectual Property Strength…
BrainChip's Latest US Patent Award Extends Intellectual Property Strength and its Leadership in Edge Learning https://lnkd.in/gvCmJahe #AI #Patent #edgeAI…
Seems to follow the asxNice rise on the US OTC. Would have been nice to see more volume but we'll take it.
View attachment 40360
buena suerte :-)
BOB Bank of Brainchip
Great to see us in the topflight again ... May it continue!Australian AI chipmaker rises on US patent grant
By Staff Writer on Jul 19, 2023 4:54PM
BrainChip gets more backing.
Australia's BrainChip Holdings surged nearly 11 percent to mark its best day in six weeks after the advanced artificial intelligence chipmaker received a patent grant in the United States on one of its neuromorphic processors.
Neuromorphic processors mimic the way the brain works and allow devices to use signals from physical neurons to carry out computations.
Shares of BrainChip were trading 7.4 percent higher at A$0.3975, their highest level since June 19, and were the biggest gainers on the ASX 200 benchmark index.
More than 11.3 million shares had changed hands, nearly double the 30-day average of around 6.4 million.
The patent protects the neural processor's feature of reconfigurability, which "provides a significant advantage, enabling the development of multipurpose and cost-effective hardware designs", BrainChip said.
BrainChip now has 17 issued patents, with around 30 patent applications pending in the United States, Europe, Australia, Canada, Japan, Korea, India, among others.
Nuff said.
www.businessage.com
How Neuromorphic vision sensors will change the world
Kynan Eng CEO and co-founder of iniVation, explains his radical new sensor technology
www.businessage.com
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Learning
Learning to the Top 🕵♂️
Haven't got a chance to read this.
Link below.
Learning 🏖
Link below.
Learning 🏖
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