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Diogenese

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Over Xmas @Luppo71 and I held a secret Brainchip meeting and we were the only ones to show up. I was quite disappointed as I was expecting Sean and TD to turn up.
Luppo and AusEire - sounds like The Wolf of O'Connell Street, hey?
 
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Hi All

Did we discuss the fact that Brainchip’s partner for intelligent deployment of airbags OnSemi had this mutual partner:

The EQXX's lithium-ionbattery pack and drivetrain were largely developed in partnership with Mercedes AMG High Performance Powertrains. Several changes were made to optimise the efficiency of the powertrain, starting off with redesigning the inverter, now incorporating Onsemi's silicon carbide anodes,[20] along with the engine control unit being almost identical to the one utilised in the Mercedes-AMG ONE.[21][22] In order to increase energy density, Mercedes also introduced a new method of packing the individual cells in the battery packcalled cell-to-pack.”

From Wiki.

Does Mercedes Benz still use airbags?🤡🤣🤡

My opinion only DYOR
Fact Finder
 
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AusEire

Founding Member. It's ok to say No to Dot Joining
Luppo and AusEire - sounds like The Wolf of O'Connell Street, hey?
Leonardo Dicaprio Kinda GIF
 
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Tothemoon24

Top 20

I wonder if eInfochips, an Arrow company is lurking in the Brainchip land​

The below sounds very bchippy

Digital Transformation in Agriculture​


Digital Transformation in Agriculture



Understanding and addressing the challenges

Reasons for low technology adoption are rooted across the layers of the agricultural technology stack.
  1. Wireless (mainly cellular) data connectivity is limited at the far edge spread across the vast area – farmlands are remote, mostly in rural areas. High bandwidth wireless endpoint connections are rare, due to a lack of infrastructure and investments. Deploying sophisticated edge gateways is cost-prohibitive as well, considering the range per gateway and area that needs to be covered.
  2. Minimal power budget may constrain sensor operating range, frequency, compute power, and life. Executing an edge workload – whether for sensing, rule-based control or compute, needs energy. Edge devices have typically used battery power. However, one needs to balance a large number of tiny sensors to be deployed in a vast area in scope with the battery specification to be used (considering the cost-effectiveness). While battery-less IoT devices have been recently developed with energy harvesting technologies like li-fi, it is yet to gain widespread adoption on scale and cost considerations.
  3. Challenging weather conditions like rain, wind, fog, heat, and snow impact the reliability and accuracy of the data stream in capture as well as transfer motions. Sensors capturing the outdoor environment parameters need to have a broad operating range w.r.t the ambient temperature, precipitation, humidity, visibility, and wind. This can potentially impact sensing as well as transmission accuracy.
As digital technology matures and becomes more accessible to corporations, co-operatives, and farmers, there is a push toward smart greenhouses, precision farming, and connected warehouses in the agricultural sector. As population and urbanization grow, we see a significant increase in food demand (70% growth by 2050) and reducing the acreage of agricultural land. The rising yield and prices of agricultural produce generate returns on technology initiatives for the majority of the farming entities.

Technology solutions to industry challenges

Technologies that are typically at the core of smart agriculture solutions include:
  • IoT for edge connectivity and sensor telemetry data transfer over multiple short-range (open as well as proprietary) protocols.
  • AI/ML for vision-based analysis of camera feeds from drones.
  • Mobility for end-user, technician apps for data reporting, workflow automation.
  • Cloud for sensor data management and analytics application platforms.
These technologies are leveraged in use cases like:
  1. Soil monitoring – Monitoring soil temperature and humidity periodically to keep them within the recommended threshold is essential for precision farming practices. You can achieve it using buried sensor probes that communicate the telemetry data to routers or gateways deployed on the farm. Managing watering and planting activities based on the present conditions and past trends helps ensure sufficient water for plant growth, effective delivery of water-soluble nutrients in manures and fertilizers, thus maximizing the yield. Soil temperature greatly impacts the mineralization of essential elements like nitrogen that is essential for root growth and respiration.
  2. Environment monitoring – Regular sensor-based monitoring of non-contact surface temperature around sprouted seeds is critical to ensure the right conditions for sapling growth. Even for the fully grown trees bearing flowers and fruits, ensuring certain temperatures around the trunk for healthy growth of the buds into flowers and subsequently to fruits becomes critical for maximizing the yield. Many crops and plants require ample sunlight for growth. You can deploy light sensors for assessing plots within the farm where such seeds are planted.
  3. Pest and weed detection – Vision technologies on autonomous vehicles like drones are used to detect the percentage of the weed coverage on the farm, identify beyond threshold plots, and accordingly manage farming manpower to remove the weeds. It is important to ensure that the input factors like water, essential nutrients in manures, fertilizers, and sunlight, are utilized for the crops. You can detect pests in the form of fungus and insects that reduce the crop yield, through deep computer vision technology practices like semantic segmentation, image classification, and object monitoring.
  4. Livestock monitoring – Sensor-based location tracking and geofencing along with the body vitals (e.g. temperature) monitoring ensure the accurate count and health of the livestock under management. Measuring and monitoring ambient conditions in the living areas help enable hygiene, safety, and overall wellbeing. Subsequently, dairy produce (milk, eggs), and meat from healthy animals ensure high agricultural throughput.
  5. Stored produce monitoring – Harvested produce often needs to be stored near the farm due to the weather, logistics, and market factors. The shelf life of the stored produce is determined by factors like external and internal temperatures of the storage bins and containers, humidity levels and airflow rates, and storage and light intensity. Monitoring these parameters and maintaining them at the levels specific to the stored harvested crop can be achieved using IoT, mobility, analytics, and cloud technologies.
The above use cases showcase that these digital technologies have the potential to transform the agricultural value chain across the crop lifecycle. If used at scale responsibly, these technologies can contribute to achieving multiple Sustainable Development Goals (SDGs) across the globe.
eInfochips, an Arrow company, is a leading product engineering services company with expertise across silicon to device to cloud, on multiple hardware and software technology platforms. We have experience in building connected solutions across industry verticals including agriculture, water management, and industrial manufacturing covering highly distributed field devices, sensors, and assets. To know more about our digital transformation services, talk to our experts today.
 
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HopalongPetrovski

I'm Spartacus!
Yep that’s the problem with secret meetings. If you tell people it’s no longer secret but if you don’t tell them they don’t turn up. Personally I quite enjoy my own company so being alone at all my secret meanings has never been an issue. 🤡🤡🤡
Who do you get to second the motions though? 🤣
 
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Diogenese

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MrRomper

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HopalongPetrovski

I'm Spartacus!
Yeah that’s a problem but on the plus side the minutes are really quick to take and type up later.🤡
That's why I stopped inviting all my imaginary friends and alternating ego's.
The typing was getting to be a bitch! 🤣
And none of us could afford a round.
 
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Newk R

Regular
That's why I stopped inviting all my imaginary friends and alternating ego's.
The typing was getting to be a bitch! 🤣
I invited one of my alter egos to my secret meeting. I turned up but I didn't.🙃😵‍💫:unsure:
 
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This one will probably get pulled to pieces.
But why would Chromatic Inc (Hearing Aids) publish a recent patent and reference a Brainchip patent?
https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/11877125
View attachment 54861
View attachment 54862

The management team has been pretty quiet on LinkedIn.
https://www.linkedin.com/posts/will...9K?utm_source=share&utm_medium=member_desktop
And we all hold our breath until Diogenese passes judgment.

My opinion only DYOR
Fact Finder
 
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Diogenese

Top 20
This one will probably get pulled to pieces.
But why would Chromatic Inc (Hearing Aids) publish a recent patent and reference a Brainchip patent?
https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/11877125
View attachment 54861
View attachment 54862

The management team has been pretty quiet on LinkedIn.
https://www.linkedin.com/posts/will...9K?utm_source=share&utm_medium=member_desktop
All US patents are examined by the USPTO. They have a classification system, a modified version of the International Patent Classification (IPC), into which the old US laissez faire patent classification system is shoe-horned, in which the salient features of the invention are classified.
The patent examiner thus checks the salient features of the new "invention" against other patents with the same classification(s) (usually a patent is classified in more than one class). In addition applicants are required to notify the USPTO of relevant prior art.

So the short answer is that the US patent examiner found the listed patents, or the applicant notified the USPTO of the prior documents. The USPTO is buggerizing around with its database, so I can't find the information which would clear this up.
 
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Conclusion​

This project leverages the Brainchip Akida Neuromorphic Hardware Accelerator to propose an innovative solution to home automation. It can be optimized to work as a daily used gadget that may be at everyone's house in the near future.

Comments such as this from Chris Mendez make me wonder why Sean Hehir said AKD1000's focus was too narrow. Everyone's house is not narrow. Please, Sean...choose your words carefully.
Both Sean's and Antonio's wording, in respect to AKIDA 1.0s market potential, was poor.

They could only have been off the cuff remarks, in my opinion.

Maybe, they should be taken in the context of what BrainChip, as a Company is trying to achieve.

"Making AI Ubiquitous"


They don't merely want to find a niche for BRNs technology.
They want to dominate, the A.I. market segments, which they are a good fit for.

Maybe their comments, should be seen in this light..

AKIDA 2.0s foundation technology, is AKIDA 1 0.
 
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View attachment 54816
Apparently has 118 granted patents. Hopefully nothing that may obstruct us.
Just on that short "About" section, it "looks like" his patents, would revolve around memristive and analog technology, so would possibly be a hindrance to others going down that path, not us..
 
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TheFunkMachine

seeds have the potential to become trees.
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Quatrojos

Regular
Both Sean's and Antonio's wording, in respect to AKIDA 1.0s market potential, was poor.

They could only have been off the cuff remarks, in my opinion.

Maybe, they should be taken in the context of what BrainChip, as a Company is trying to achieve.

"Making AI Ubiquitous"


They don't merely want to find a niche for BRNs technology.
They want to dominate, the A.I. market segments, which they are a good fit for.

Maybe their comments, should be seen in this light..

AKIDA 2.0s foundation technology, is AKIDA 1 0.
I hope they are blinded by AKD1500, Let alone 2000. But they are expected to be flawless in their representation. To criticise their company’s very foundation, even off the cuff, is a crucial blunder…
 
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JDelekto

Regular
Correct me if I'm wrong but I'm certain that Renesas were only an IP licensee and were never technology partners.
I believe you are correct. They were a customer as opposed to a partner.

However, if one goes to the main page on the BrainChip Web site and scrolls down, they will still see the Renesas logo on the right-to-left scrolling marquee:

1705835921997.png
 
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Over Xmas @Luppo71 and I held a secret Brainchip meeting and we were the only ones to show up. I was quite disappointed as I was expecting Sean and TD to turn up.
A photo of your secret meeting with Luppo71:

1705836568483.png
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Hi All,

I know a guy whose friend of a friend of a friend worked at OnSemi and he went to a Mercedes dealership and looked at a car…….So not saying there could be a connection to BrainChip……

from WikiCamps
🤡🐂💩
😎
Hi RegBut, I believe they need you over on the Crapper ASAP!!! Apparently they’ve sprung a malodorous leak in their phoofer valve and they need your help to plug it up.

1705841650210.gif
 
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Diogenese

Top 20
All US patents are examined by the USPTO. They have a classification system, a modified version of the International Patent Classification (IPC), into which the old US laissez faire patent classification system is shoe-horned, in which the salient features of the invention are classified.
The patent examiner thus checks the salient features of the new "invention" against other patents with the same classification(s) (usually a patent is classified in more than one class). In addition applicants are required to notify the USPTO of relevant prior art.

So the short answer is that the US patent examiner found the listed patents, or the applicant notified the USPTO of the prior documents. The USPTO is buggerizing around with its database, so I can't find the information which would clear this up.

Well I finally ran it to ground, but not in USPTO. Here is the list of prior art cited in the International Search report:
1705844543883.png


Category Y means that the examiner considers that 2 or more documents combined prepublish the claimed invention. The applicant can contest this conclusion or amend the claims so they have an inventive step above the combined prior documents.

Category A means that the examiner considers them to be relevant background, but do not disclose the claimed invention.
 
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