BRN Discussion Ongoing

Hi DB
The last statement by Mike Davies was that commercialisation of Loihi technology is still five years away and they have moved their focus away from the Edge to the Cloud.

If we believe him then Mercedes must have decided on a very long lead time to bring their vision to market.

If we don’t believe Mike Davies what commercial advantage is he achieving for Intel by eroding potential customer expectations to this extent?

My opinion only DYOR
Fact Finder
I'm not sure about Intel's customers expectations, but what would the "full value" to Intel be, if they were chosen as a partner to Mercedes?

Marcus Schaefer said “later this year we will decide on a partner to further develop this technology".
(although we don't even know if this statement, relates to the neuromorphic side of things).

Unless Marcus is being deliberately misleading, why is the wording "decide" and not just "announce"?

On the surface, it appears Mercedes are weighing up at least two options.

Loihi, as a chip product, may not be commercially available for 5 years, but that doesn't mean that they can't use the current technology, to develop the system for Mercedes.

Intel, has a well known history, of uncompetitive practices.

You know, I want it to be us 😉
 
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GazDix

Regular
I'm not saying we aren't progressly greatly and doing all the right things, as far as laying the foundations of a Great Company.

It's just the Market, presently expects more tangible results and many, have blown us off.

The Market perception of our value, just isn't there, at the moment.
Yes. This hits the nail on the head.

Like many here of us here think, Brainchip will be wildly successful. Research creates information asymmetry and we share this here.

The market (especially the ASX) doesn't value technology companies or any company generally without the old nuggets of revenue or clearly defined future revenue.
Is this definition of a company's value simplistic and safe? Yes.

It all comes to patience and conviction. I have my plan for BRN, and if it doesn't work out (unlikely IMO), I will carry on and look at reinvesting.

Each of us have our time horizons. Up to us to follow them. The rest is just noise.
 
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cosors

👀
OK, so I said " I'm VERY disappointed that the share price has gone nowhere after the C.E.S., to which Wiltzy said "Where was it supposed to go? LOL. Perhaps I am the naive one, and you will enlighten me as to where it should have gone and why."

Fullmoonfever has clarified and I believe he's correct i.e. CES is a trade show & that's where I was wrong Wiltzy.

NOW, trying to be constructive, I still believe there was an opportunity missed at the CES.
I suggest that at future shows like the CES, we could have the best of both worlds.

Have a person or persons demoing, and another discussing investing in us. Have the booth clearly set up between the two and I reckon some visitors would see the demo, go off, thinking, then, realising the potential, and having subliminally noticed the investing idea, would come back for info. We could also be a bit naughty by employing a crowd enthusiastically jostling and calling out "how can I invest".;)
I understand your repeated or now clarified point, but I cannot follow it. The CES is not an investment fair. And I can imagine with a lot of imagination that a few people were at this fair and knocked on the door of the upcoming tec with regard to investment opportunities. But why should Brainchip stand out from all the other companies with a behaviour that is inappropriate for this format of this fair? Don't you think it would have been inappropriate and unprofessional against this background to stand out from all other companies when the focus of the CES is clearly not on investing in a stock?

___
Why not better advertise on HC on the front page and pay for TMH? o_O
Screenshot_2024-01-16-20-28-54-80_40deb401b9ffe8e1df2f1cc5ba480b12.jpg

...the guy looks dead and like a zombie.
snap from wilzy
1705433590239.png

Now someone tell me that they don't look alike 😅
 
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Esq.111

Fascinatingly Intuitive.
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Brainchip/Circle 8 have become the third most popular news story on Design & Reuse and rising. ASX investors may not know about Brainchip but techie interest is growing:

20 Most Popular News​

Updated: Tue, 16 Jan 2024 01:00:02 +0100

Today
Yesterday
11GUC Taped Out UCIe 32G IP using TSMC's 3nm and CoWoS Technology
Global Unichip Corp. (GUC), the Advanced ASIC Leader, announced today that it has successfully taped out Universal Chiplet Interconnect Express™ (UCIe™) PHY IP with 32Gbps per lane, the highest UCIe speed, for AI/HPC/xPU/Networking applications.
up.gif
2New!!!EnSilica adds Post Quantum Cryptography support to eSi-Crypto IP library
EnSilica, a leading chip maker of mixed-signal ASICs, has added a range of Post-Quantum Cryptography (PQC) accelerators to its eSi-Crypto range of hardware accelerator IP.
up.gif
3New!!!BrainChip and Circle8 Clean Technologies/AVID Group Work to Reduce and Recycle Waste Through Joint Development of Intelligent "Smart Bins"
BrainChip today announced that it has entered into a strategic partnership with Circle8 Clean Technologies and AVID Group to develop “Smart Bins” that can automatically sort and recycle different types of waste through a combination of AI-powered sensors and robotics.

My opinion only DYOR
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Tothemoon24

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IloveLamp

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The last couple of minutes has the first reference that I recall in this CES 2024 Brainchip podcast series to AKIDA 2.0 with TENNs running LLM Gen Ai models.

My opinion only DYOR
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IloveLamp

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"One time programmable" you say???

That sounds like fancy talk for one shot learning


Screenshot_20240117_073819_LinkedIn.jpg
 
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No direct mention here but wow, what a read


View attachment 54417
Little concerned that we were there at CES 2024. We list Arm as a partner, yet they don’t mention Brainchip showcasing anything. Disappointing.
 
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Little concerned that we were there at CES 2024. We list Arm as a partner, yet they don’t mention Brainchip showcasing anything. Disappointing.
Arm probably have multiple partners, Where a start up company, or maybe ARM Want to keep us under wraps and all to themselves
 
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Sirod69

bavarian girl ;-)
🧠 Global #Self_Learning_Neuromorphic_Chip_Market is expected from USD 0.63 billion in 2023 to grow at approximately USD 6.61 Billion by 2033, grow at CAGR of 26.50% of #CAGR between 2024– 2033.

Grab Your Free Sample Report In PDF Now @ https://lnkd.in/g_3jXAFU

Dive into the realm of innovation with the Self-Learning Neuromorphic Chip market report. 🚀 This game-changing tech is rewriting the rules of computing and AI.

🔍 Key Insights:
Market Size & Growth Projections
Cutting-edge Technologies
Industry Players & Collaborations
Applications Transforming Industries
Regulatory Landscape

💡 Why Invest in this Report?
Future-Proof Strategies: Craft strategies that align with the evolving landscape of self-learning chips, reshaping industries from healthcare to finance.
Innovation Roadmap: Stay at the forefront of technological breakthroughs, driving your organization's innovation agenda.
Competitive Edge: Understand the market dynamics to gain a competitive advantage in the race for technological supremacy.
Strategic Alliances: Identify potential collaborators and partners shaping the future of neuromorphic computing.

🌟#TechInnovation #NeuromorphicComputing #AIRevolution #TechLeadership #InnovationHub #TechStrategy #FutureTech #MarketInsights #DigitalTransformation #AIApplications #BusinessIntelligence

📌 Market Segmentations:

Global Self-Learning Neuromorphic Chip Market: By #Company
IBM
Qualcomm
HRL Laboratories, LLC
General Vision, Inc.
Numenta
Hewlett-Packard
Samsung GSG (Global Strategy Group)
Intel Corporation
Applied Brain Research
BrainChip

Global Self-Learning Neuromorphic Chip Market: By #Type
• Image Recognition
• Signal Recognition
• Data Mining

Global Self-Learning Neuromorphic Chip Market: By #Application
• Healthcare
• Power & Energy
• Automotive
• Media & Entertainment
• Aerospace & Defense
• Smartphones
• Consumer Electronics
• Others
 
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keyeat

Regular
Dynamic Vision Sensor (DVS) and the Dynamic Audio Sensor (DAS)

Published on Jan 16, 2024

Powered by AI and the LinkedIn community

Kailash PrasadDesign Engineer @ Arm | PMRF | IIRF | nanoDC Lab…

Published Jan 16, 2024

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Have you ever wondered how the human eye👁️ and ear👂 can process complex and dynamic scenes with such high speed and accuracy? Imagine if we could design artificial sensors that mimic the biological mechanisms of vision and hearing, and produce data that is more efficient and meaningful than conventional sensors.


In this post, I will introduce you to two types of neuromorphic sensors: the Dynamic Vision Sensor (DVS) and the Dynamic Audio Sensor (DAS).


These sensors are inspired by the structure and function of the retina and the cochlea, respectively, and use a novel paradigm of event-based sensing. Unlike conventional sensors that capture frames or samples at a fixed rate, event-based sensors only output data when there is a change in the input signal, such as brightness or sound intensity. This results in a stream of asynchronous events that encode the temporal and spatial information of the scene, with high temporal resolution, low latency, and high dynamic range.


📖 - "In simpler terms, these special sensors work like our eyes and ears. They're designed based on the way our eyes' retinas and ears' cochleae function. But what sets them apart is their unique approach called event-based sensing. Unlike regular sensors that take pictures or recordings at a set speed, these event-based sensors only provide information when there's a change. Whether it's a shift in light or a change in sound, they only capture those moments. Instead of a constant flow of data, you get quick updates that show when and where things change. This gives you highly detailed and fast information about what's happening, with minimal delay and a wide range of details. It's like having sensors that focus on the important stuff, making them efficient and responsive."


The DVS is an imaging sensor that responds to local changes in brightness, and outputs events that indicate the pixel address, the polarity (increase or decrease) of the brightness change, and the timestamp. The DVS can achieve a temporal resolution of microseconds⏱️, a dynamic range of 120 dB🔊, and a low power consumption of 30 mW💡. The DVS can also avoid motion blur and under/overexposure that plague conventional cameras. The DVS can be used for applications such as optical flow estimation, object tracking, gesture recognition, and robotics.


The DAS is an auditory sensor that mimics the cochlea, the auditory inner ear. The DAS takes stereo audio inputs and outputs events that represent the activity in different frequency ranges. The DAS can capture sound signals with a frequency range of 20 Hz to 20 kHz🎵, a dynamic range of 60 dB🔊, and a temporal resolution of microseconds⏱️. The DAS can also extract auditory features such as interaural time difference, harmonicity, and speaker identification.


Both the DVS and the DAS are compatible with neuromorphic computing architectures, such as spiking neural networks, that can process the event data in a parallel and distributed manner. This enables low-power and real-time computation of complex tasks such as scene understanding, speech recognition, and sound localization.


Some examples of recent products that use the DVS and the DAS are:


- The Prophesee Metavision Camera, which is a high-resolution DVS camera that can capture fast and complex motions with minimal data and power consumption.
Star Wars Disney Plus GIF by Disney+

@IloveLamp
 
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Tothemoon24

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BrainChip and MYWAI Partner to Deliver Next-Generation Edge AI Solutions

January 16, 2024 05:30 PM Eastern Standard Time
LAGUNA HILLS, Calif.--(BUSINESS WIRE)--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, and MYWAI, the leading AIoT solution provider for Edge intelligence in the European Union (EU), today announced a strategic partnership to deliver next-generation Edge AI solutions leveraging neuromorphic compute.
“This collaboration offers customers tremendous value by providing them with a powerful-and-scalable solution for Industrial and MedTech applications requiring real-time, low-power and cloud-independent AI.”
Post this
The solutions will leverage BrainChip’s Akida™, which processes and learns from sensor data with unparalleled efficiency, precision, and economy of energy. It incorporates MYWAI’s AIoT Platform for EaaS (Equipment as a Service), which can stream, process, and prepare multimodal sensor data (e.g. time series, audio, vision, touch data) for Edge AI, as well as manage the Machine Learning Engineering for Production (MLOps) workflows, the Digital Ledger Technology (DLT) certification of the data and outcomes, in line with the new EU regulations for trustworthy AI.
The partnership is expected to accelerate the adoption of Edge AI in the industrial and robotic sectors and generate significant value for both companies and their customers. Developing and delivering robotic solutions for various industries, such as manufacturing, logistics, energy management and healthcare will be the focus of this partnership and allows customers to deploy AI at the very Edge of their equipment, achieving unprecedented performance, efficiency, and security.
“We believe in helping businesses reach new heights by adding intelligence to processes and machinery at the very Edge using Generative AI on the cloud and trustworthy AI at the Edge,” said Fabrizio Cardinali, CEO of MYWAI. “By integrating BrainChip’s Akida with our EaaS platform, we can enable our customers to optimize their processes and machinery with efficient AI, delivering intelligence where needed, when needed.”
“Working with partners like MYWAI provides us a tangible way to demonstrate the power of Essential AI together,” said Rob Telson, Vice President of Ecosystem and Partnerships at BrainChip. “This collaboration offers customers tremendous value by providing them with a powerful-and-scalable solution for Industrial and MedTech applications requiring real-time, low-power and cloud-independent AI.”
 
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Damo4

Regular



BrainChip and MYWAI Partner to Deliver Next-Generation Edge AI Solutions​



Laguna Hills, Calif. – January 16, 2023 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, and MYWAI, the leading AIoT solution provider for Edge intelligence in the European Union (EU), today announced a strategic partnership to deliver next-generation Edge AI solutions leveraging neuromorphic compute.

The solutions will leverage BrainChip’s Akida™, which processes and learns from sensor data with unparalleled efficiency, precision, and economy of energy. It incorporates MYWAI’s AIoT Platform for EaaS (Equipment as a Service), which can stream, process, and prepare multimodal sensor data (e.g. time series, audio, vision, touch data) for Edge AI, as well as manage the Machine Learning Engineering for Production (MLOps) workflows, the Digital Ledger Technology (DLT) certification of the data and outcomes, in line with the new EU regulations for trustworthy AI.

The partnership is expected to accelerate the adoption of Edge AI in the industrial and robotic sectors and generate significant value for both companies and their customers. Developing and delivering robotic solutions for various industries, such as manufacturing, logistics, energy management and healthcare will be the focus of this partnership and allows customers to deploy AI at the very Edge of their equipment, achieving unprecedented performance, efficiency, and security.

“We believe in helping businesses reach new heights by adding intelligence to processes and machinery at the very Edge using Generative AI on the cloud and trustworthy AI at the Edge,” said Fabrizio Cardinali, CEO of MYWAI. “By integrating BrainChip’s Akida with our EaaS platform, we can enable our customers to optimize their processes and machinery with efficient AI, delivering intelligence where needed, when needed.”

“Working with partners like MYWAI provides us a tangible way to demonstrate the power of Essential AI together,” said Rob Telson, Vice President of Ecosystem and Partnerships at BrainChip. “This collaboration offers customers tremendous value by providing them with a
powerful-and-scalable solution for Industrial and MedTech applications requiring real-time, low-power and cloud-independent AI.”

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, Akida™ , 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

About MYWAI

MYWAI SRL (www.myw.ai) is a new European start-up with headquarters in the wonderful Silence Bay of Sestri Levante (between Cinque Terre and Portofino in the Northwest Italian Riviera, near France) which during 2020 and 2021, when the pandemics were hitting hard global supply chains and industrial set-ups, designed, patented, and developed Europe’s first fully native AIoT for Equipment as a Service (EaaS) Platform. The solution helps machine tool builders and users to add new intelligent services to their machinery such as innovative technical functionality (e.g. Predictive Maintenance and multimodal Quality Inspection), Insurtech policies (e.g. Pay per Event), and Fintech business models (e.g. Pay per Use). MYWAI has patented its EaaS Solution blending advanced Generative and Edge AI solutions, IoT and blockchain and has applied its technology in world-leading market and RD projects with partners such as Mitsubishi Electric™ for adding intelligent services to the company’s robotic fleets, Hitachi Rail to generate synthetic defects for its smart stations video surveillance systems and ESAOTE for the group’s biomedical machinery maintenance services.

Follow MYWAI on LinkedIn: https://www.linkedin.com/company/mywaisrl
Follow MYWAI on YouTube: https://www.youtube.com/@mywaimarketing
 
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TECH

Regular
🧠 Global #Self_Learning_Neuromorphic_Chip_Market is expected from USD 0.63 billion in 2023 to grow at approximately USD 6.61 Billion by 2033, grow at CAGR of 26.50% of #CAGR between 2024– 2033.

Grab Your Free Sample Report In PDF Now @ https://lnkd.in/g_3jXAFU

Dive into the realm of innovation with the Self-Learning Neuromorphic Chip market report. 🚀 This game-changing tech is rewriting the rules of computing and AI.

🔍 Key Insights:
Market Size & Growth Projections
Cutting-edge Technologies
Industry Players & Collaborations
Applications Transforming Industries
Regulatory Landscape

💡 Why Invest in this Report?
Future-Proof Strategies: Craft strategies that align with the evolving landscape of self-learning chips, reshaping industries from healthcare to finance.
Innovation Roadmap: Stay at the forefront of technological breakthroughs, driving your organization's innovation agenda.
Competitive Edge: Understand the market dynamics to gain a competitive advantage in the race for technological supremacy.
Strategic Alliances: Identify potential collaborators and partners shaping the future of neuromorphic computing.

🌟#TechInnovation #NeuromorphicComputing #AIRevolution #TechLeadership #InnovationHub #TechStrategy #FutureTech #MarketInsights #DigitalTransformation #AIApplications #BusinessIntelligence

📌 Market Segmentations:

Global Self-Learning Neuromorphic Chip Market: By #Company
IBM
Qualcomm
HRL Laboratories, LLC
General Vision, Inc.
Numenta
Hewlett-Packard
Samsung GSG (Global Strategy Group)
Intel Corporation
Applied Brain Research
BrainChip

Global Self-Learning Neuromorphic Chip Market: By #Type
• Image Recognition
• Signal Recognition
• Data Mining

Global Self-Learning Neuromorphic Chip Market: By #Application
• Healthcare
• Power & Energy
• Automotive
• Media & Entertainment
• Aerospace & Defense
• Smartphones
• Consumer Electronics
• Others

Hi Sirod69....Happy New Year :)

Global Self-Learning Neuromorphic Chip Market: By #Company
IBM
Qualcomm
HRL Laboratories, LLC
General Vision, Inc.
Numenta
Hewlett-Packard
Samsung GSG (Global Strategy Group)
Intel Corporation
Applied Brain Research
BrainChip

"Global Self-Learning Neuromorphic Chip Market"

Maybe I mistaken, but from that list currently only one is truly "self-learning" aren't the others all "self-training" meaning having to
"retrain" the entire network....that's dinosaur technology to me not "real disruptive technology"

To quote Anil a few years back "Deep-Learning Architecture" is really "Deep-Training Architecture"

Just my views...maybe wrong, well, so be it.

Tech :cool:
 
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Damo4

Regular



BrainChip and MYWAI Partner to Deliver Next-Generation Edge AI Solutions​



Laguna Hills, Calif. – January 16, 2023 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, and MYWAI, the leading AIoT solution provider for Edge intelligence in the European Union (EU), today announced a strategic partnership to deliver next-generation Edge AI solutions leveraging neuromorphic compute.

The solutions will leverage BrainChip’s Akida™, which processes and learns from sensor data with unparalleled efficiency, precision, and economy of energy. It incorporates MYWAI’s AIoT Platform for EaaS (Equipment as a Service), which can stream, process, and prepare multimodal sensor data (e.g. time series, audio, vision, touch data) for Edge AI, as well as manage the Machine Learning Engineering for Production (MLOps) workflows, the Digital Ledger Technology (DLT) certification of the data and outcomes, in line with the new EU regulations for trustworthy AI.

The partnership is expected to accelerate the adoption of Edge AI in the industrial and robotic sectors and generate significant value for both companies and their customers. Developing and delivering robotic solutions for various industries, such as manufacturing, logistics, energy management and healthcare will be the focus of this partnership and allows customers to deploy AI at the very Edge of their equipment, achieving unprecedented performance, efficiency, and security.

“We believe in helping businesses reach new heights by adding intelligence to processes and machinery at the very Edge using Generative AI on the cloud and trustworthy AI at the Edge,” said Fabrizio Cardinali, CEO of MYWAI. “By integrating BrainChip’s Akida with our EaaS platform, we can enable our customers to optimize their processes and machinery with efficient AI, delivering intelligence where needed, when needed.”

“Working with partners like MYWAI provides us a tangible way to demonstrate the power of Essential AI together,” said Rob Telson, Vice President of Ecosystem and Partnerships at BrainChip. “This collaboration offers customers tremendous value by providing them with a
powerful-and-scalable solution for Industrial and MedTech applications requiring real-time, low-power and cloud-independent AI.”

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, Akida™ , 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

About MYWAI

MYWAI SRL (www.myw.ai) is a new European start-up with headquarters in the wonderful Silence Bay of Sestri Levante (between Cinque Terre and Portofino in the Northwest Italian Riviera, near France) which during 2020 and 2021, when the pandemics were hitting hard global supply chains and industrial set-ups, designed, patented, and developed Europe’s first fully native AIoT for Equipment as a Service (EaaS) Platform. The solution helps machine tool builders and users to add new intelligent services to their machinery such as innovative technical functionality (e.g. Predictive Maintenance and multimodal Quality Inspection), Insurtech policies (e.g. Pay per Event), and Fintech business models (e.g. Pay per Use). MYWAI has patented its EaaS Solution blending advanced Generative and Edge AI solutions, IoT and blockchain and has applied its technology in world-leading market and RD projects with partners such as Mitsubishi Electric™ for adding intelligent services to the company’s robotic fleets, Hitachi Rail to generate synthetic defects for its smart stations video surveillance systems and ESAOTE for the group’s biomedical machinery maintenance services.

Follow MYWAI on LinkedIn: https://www.linkedin.com/company/mywaisrl
Follow MYWAI on YouTube: https://www.youtube.com/@mywaimarketing


My favourite part:

“We believe in helping businesses reach new heights by adding intelligence to processes and machinery at the very Edge using Generative AI on the cloud and trustworthy AI at the Edge,” said Fabrizio Cardinali, CEO of MYWAI. “By integrating BrainChip’s Akida with our EaaS platform, we can enable our customers to optimize their processes and machinery with efficient AI, delivering intelligence where needed, when needed.”
 
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BrainChip and MYWAI Partner to Deliver Next-Generation Edge AI Solutions​



Laguna Hills, Calif. – January 16, 2023 – 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, and MYWAI, the leading AIoT solution provider for Edge intelligence in the European Union (EU), today announced a strategic partnership to deliver next-generation Edge AI solutions leveraging neuromorphic compute.

The solutions will leverage BrainChip’s Akida™, which processes and learns from sensor data with unparalleled efficiency, precision, and economy of energy. It incorporates MYWAI’s AIoT Platform for EaaS (Equipment as a Service), which can stream, process, and prepare multimodal sensor data (e.g. time series, audio, vision, touch data) for Edge AI, as well as manage the Machine Learning Engineering for Production (MLOps) workflows, the Digital Ledger Technology (DLT) certification of the data and outcomes, in line with the new EU regulations for trustworthy AI.

The partnership is expected to accelerate the adoption of Edge AI in the industrial and robotic sectors and generate significant value for both companies and their customers. Developing and delivering robotic solutions for various industries, such as manufacturing, logistics, energy management and healthcare will be the focus of this partnership and allows customers to deploy AI at the very Edge of their equipment, achieving unprecedented performance, efficiency, and security.

“We believe in helping businesses reach new heights by adding intelligence to processes and machinery at the very Edge using Generative AI on the cloud and trustworthy AI at the Edge,” said Fabrizio Cardinali, CEO of MYWAI. “By integrating BrainChip’s Akida with our EaaS platform, we can enable our customers to optimize their processes and machinery with efficient AI, delivering intelligence where needed, when needed.”

“Working with partners like MYWAI provides us a tangible way to demonstrate the power of Essential AI together,” said Rob Telson, Vice President of Ecosystem and Partnerships at BrainChip. “This collaboration offers customers tremendous value by providing them with a
powerful-and-scalable solution for Industrial and MedTech applications requiring real-time, low-power and cloud-independent AI.”
 
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Sirod69

bavarian girl ;-)



BrainChip and MYWAI Partner to Deliver Next-Generation Edge AI Solutions​



Laguna Hills, Calif. – January 16, 2023 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, and MYWAI, the leading AIoT solution provider for Edge intelligence in the European Union (EU), today announced a strategic partnership to deliver next-generation Edge AI solutions leveraging neuromorphic compute.

The solutions will leverage BrainChip’s Akida™, which processes and learns from sensor data with unparalleled efficiency, precision, and economy of energy. It incorporates MYWAI’s AIoT Platform for EaaS (Equipment as a Service), which can stream, process, and prepare multimodal sensor data (e.g. time series, audio, vision, touch data) for Edge AI, as well as manage the Machine Learning Engineering for Production (MLOps) workflows, the Digital Ledger Technology (DLT) certification of the data and outcomes, in line with the new EU regulations for trustworthy AI.

The partnership is expected to accelerate the adoption of Edge AI in the industrial and robotic sectors and generate significant value for both companies and their customers. Developing and delivering robotic solutions for various industries, such as manufacturing, logistics, energy management and healthcare will be the focus of this partnership and allows customers to deploy AI at the very Edge of their equipment, achieving unprecedented performance, efficiency, and security.

“We believe in helping businesses reach new heights by adding intelligence to processes and machinery at the very Edge using Generative AI on the cloud and trustworthy AI at the Edge,” said Fabrizio Cardinali, CEO of MYWAI. “By integrating BrainChip’s Akida with our EaaS platform, we can enable our customers to optimize their processes and machinery with efficient AI, delivering intelligence where needed, when needed.”

“Working with partners like MYWAI provides us a tangible way to demonstrate the power of Essential AI together,” said Rob Telson, Vice President of Ecosystem and Partnerships at BrainChip. “This collaboration offers customers tremendous value by providing them with a
powerful-and-scalable solution for Industrial and MedTech applications requiring real-time, low-power and cloud-independent AI.”

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, Akida™ , 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

About MYWAI

MYWAI SRL (www.myw.ai) is a new European start-up with headquarters in the wonderful Silence Bay of Sestri Levante (between Cinque Terre and Portofino in the Northwest Italian Riviera, near France) which during 2020 and 2021, when the pandemics were hitting hard global supply chains and industrial set-ups, designed, patented, and developed Europe’s first fully native AIoT for Equipment as a Service (EaaS) Platform. The solution helps machine tool builders and users to add new intelligent services to their machinery such as innovative technical functionality (e.g. Predictive Maintenance and multimodal Quality Inspection), Insurtech policies (e.g. Pay per Event), and Fintech business models (e.g. Pay per Use). MYWAI has patented its EaaS Solution blending advanced Generative and Edge AI solutions, IoT and blockchain and has applied its technology in world-leading market and RD projects with partners such as Mitsubishi Electric™ for adding intelligent services to the company’s robotic fleets, Hitachi Rail to generate synthetic defects for its smart stations video surveillance systems and ESAOTE for the group’s biomedical machinery maintenance services.

Follow MYWAI on LinkedIn: https://www.linkedin.com/company/mywaisrl
Follow MYWAI on YouTube: https://www.youtube.com/@mywaimarketing

Artificial intelligence, MyWai is working on studies to reconstruct the area of San Fruttuoso di Camogli in 3D
The technology hub startup has acquired various projects. Underwater robots at Christ of the Abyss and the ancient Roman port of Lipar

Artificial intelligence is growing in Baia del Silenzio, in Sestri Levante. Everyone is talking about the potential, the topic has been extremely relevant lately, but only a few are really paying attention to it. One of the most active laboratories in Italy is located right in Tigullio, in the City of Two Seas, in the Technology Center, in the rooms of the Annunziata complex, where Mywai already inaugurated its research laboratory in October 2021. And has since evolved into a nationally patented system that uses artificial intelligence algorithms to make industrial, biomedical and smart city and port machines and systems intelligent. The applications are diverse and range from the maintenance of industrial machines to extended certification of manufacturing quality to the control of production processes. The year 2024 therefore begins with great momentum for this important reality of continuous and constant growth, which has given rise to around ten research and development projects financed by the Por and Pnrr programs at national level and by the Horizon Europe program at Community level. These include Genaware and Genesis, which will apply generative artificial intelligence to Stellantis' electric vehicle batteries and Ansaldo Energia's electric turbines. In addition, there are also projects such as Weldwais and Rossana, which, in collaboration with the National Institute of Welding, use state-of-the-art artificial intelligence for the detection of welding defects and for cybersecurity of artificial algorithms in the medical field carried out in collaboration with the Ligurian Excellencies Esaote and the Giannina Gaslini Institute of Genoa.

 
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