BRN Discussion Ongoing

But they could get a licence ... think what that would for the share price!
Scientology will try to claim all rights.

SC
 
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SiDEvans

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Archer Materials (AXE) got a speeding ticket the other day.
Their explanation (see below) has just enhanced the speculation and last I looked it was up another 20% today.
Please Santa more speculative buyers for BRN.

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I hope you are right. I’ve got Archer as well. Love a double banger announcement. That’d be a great Christmas present.
 
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7für7

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Archer Materials (AXE) got a speeding ticket the other day.
Their explanation (see below) has just enhanced the speculation and last I looked it was up another 20% today.
Please Santa more speculative buyers for BRN.

View attachment 74453
Ok but what would be the benefit for long term holder after a pump because of speculation and a following dump because of a mass disappointment? I’m preferring it as it is until they announce the news we are waiting for to hold the price high… but that’s just my thinking… It’s time fore a stable price
 
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GDJR69

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Greetings Chippers,

Strange things are happening in the sky's above the USA .

Just started listening to this interview , if you ask me it SMACKS of our tech.



Regards,
Esq.

Yes, what is happening with the "drones" in the US and UK is quite unbelievable and I'm surprised more people aren't aware of it - it's absolutely bizarre and potentially huge. I doubt that NHI is using Akida but here's hoping - there's a whole other market out there! :ROFLMAO:
 
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Rskiff

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Yes, what is happening with the "drones" in the US and UK is quite unbelievable and I'm surprised more people aren't aware of it - it's absolutely bizarre and potentially huge. I doubt that NHI is using Akida but here's hoping - there's a whole other market out there! :ROFLMAO:
I think this drone palaver is just hysteria like all those Chinese balloons last year and UFO's before that.
 
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I think this drone palaver is just hysteria like all those Chinese balloons last year and UFO's before that.
I think I know what happened in the USA with the drones
It’s the aliens the can’t believe the American's voted Trump in again
 
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Diogenese

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I think I know what happened in the USA with the drones
It’s the aliens the can’t believe the American's voted Trump in again
They are not alone ...
 
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Rach2512

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Sorry not sure if you have already posted these comments @Bravo ?

Sorry again I'm not sure how to post LinkedIn links, so here are some screenshots.
 

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gilti

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Ethinvestor

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The new Jetson Nano $249 on X
 
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What a pleasant surprise today ending up green.Maybe someone is in the know that we are getting our final and best price sensitive announcement next week. Have a great weekend everyone and stay safe.

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AARONASX

Holding onto what I've got
I know this is not SNN, but a nice visualisation of CNN

 
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Esq.111

Fascinatingly Intuitive.
Afternoon Chippers,



Heads up for tomorro

There will be shenanigans...more than usual due to the below.



Believe we are still in the ASX300 & also the Tech index ( which code iv forgotten at this point ), SO FUNDS WILL BE F$%@&IG WITH US TOMORROW.



STAY CALM & HYDRATED.


Regards,
Esq.
 

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manny100

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Frangipani

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MB signed an MOU with Ontario in 2022 for cooperation across the electric vehicle chain. In addition to the Wellington Uni research centre linked to Eliasmith, MB has joined the Ontario start-up incubator OVIN.

Nope, and neither is it Duke University… 😉
The name of the Canadian city (and hence that of this uni) ain’t about who defeated Napoleon, but where it happened.

Almost 159 years later, a catchy tune with a reference to that battle ground secured a Swedish pop quartet a different kind of victory, with music being their only (but extremely effective) weapon:

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Diogenese

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Monica Politano from ESA works with AI:

https://www.linkedin.com/in/monica-politano-248b50/recent-activity/all/

Just like Alica, Monica led me to a magical rabbit hole:

https://esastar-publication-ext.sso.esa.int/ESATenderActions/details/75581

ONBOARD DATA HANDLING SUB-SYSTEM FOR AUTONOMOUS SATELLITES (ARTES AT 4G.044)

Tender Action Number: 1-12227 — Activity Number: 1000039882

Clarification Request Deadline 01/11/2024 13:00 CET1

Closing Date Extension Request Deadline 01/11/2024 13:00 CET1

Announcement Date 08/03/2024

Last Update On 18/11/2024 14:25 CET1

Update Reason Status Changed

The objective is to develop an onboard data handling architecture capable of autonomously acquiring, processing and interpreting housekeeping and telemetry data and taking the required actions without ground intervention. The activity will develop a data handling sub-system demonstrator to validate the intelligent functionalities, including prognostic and health management (PHM) capabilities

Targeted Improvements: Enabling technology development for future fully autonomous satellites which are capable to operate independently, without the need of immediate operator intervention.

Description: Current satellite operations are centred around human interactions from ground, which results in considerable inefficiencies. Limited windows of communication with the satellite, latency, and resource-limited ground infrastructure are the main reasons for the inefficiencies, which become more prominent for large constellations of satellites. This activity reduces the dependence of the spacecraft on ground stations by developing an intelligent onboard data handling architecture, using Artificial Intelligence (AI) to autonomously process, interpret housekeeping and telemetry data and take decisions on needed actions in real-time. This is considered an essential capability for management of future satellite constellations. The current data handling architectures and core building blocks such as the onboard computer (OBC) and Remote Terminal Unit (RTU) need to be redesigned to allow autonomous telemetry acquisition for all spacecraft units (incl. telemetry format standardisation), data fusion of big data sets and processing with selected AI-based algorithms, derivation of performance profiles, identification of anomalous behaviour and failure prediction. Data acquisition, either directly by the OBC or by the RTU, will entail the development of a block capable to acquire, convert and calibrate all onboard telemetries at configurable sampling rates.

Data fusion and processing will be facilitated by using AI and Machine Learning (ML), enabling the OBC to analyse large data sets and autonomously take the required actions. This includes detection of potentially hazardous situations, such as solar flares or collisions withspace debris, making intelligent decisions and taking appropriate actions to mitigate or avoid these situations.

In addition to the development of the intelligent data handling architecture, the activity shall also provide the onboard computer (OBC) with the capability to execute an embedded version of a system digital twin. This digital twin implementation will enable the OBC to simulate and mirror the behaviour of the actual satellite system in real-time, allowing for enhanced monitoring, diagnostics, and performance optimisation. By incorporating a system digital twin into the OBC, it will be possible to achieve a higher level of autonomy and proactive decision-making within the satellite operations.

This activity will develop a data handling sub-system demonstrator which will include breadboards of the OBC and RTU with AI/ML-based algorithms, to validate the developed intelligent functionalities, including Prognostic and Health Management (PHM) capabilities.

Directorate Dir. of Connectivity Secure Comm. Estabilishment ESTEC

Open Date 28/06/2024 09:41 CET0 Closing Date 15/11/2024 13:00 CET1

ECOS Required No Classified No

Price Range > 500 KEURO

Authorised Contact Person Florence Glandieres Initiating Service CSC-STS

IP Measure N/A

Prog. Reference E/0534-01I - CC - Adv Tech 4.0.2

Tender Type Open Competition

Open To Tenderers From

AT+BE+CA+CH+CZ+DE+DK+GR+ES+FI+FR+GB+HU+IE+IT+LU+NL+NO+PL+PT+RO+SE

Technology Keywords 1-D-I-Machine Learning for On-board Data Subsystems

Products Keywords 2-F-1-a-Central Data Management Units (CDMU) or Satellite Management Units (SMU) 2-F-1-f-Remote Terminal Units


Applicants needed to be European, so FG or EdgX could have submitted an Akida-based bid.
 
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Frangipani

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Non BRN, Beemotion.ai (NVISO)


"The integration of BeEmotion’s AI technology will be applied to both new and existing Cycliq products, including improvements in real-time vehicle detection, object recognition, and edge-computation capabilities(hey that's us!? 😛🤔) This strategic move is expected to advance Cycliq’s technology and provide enhanced safety features for cyclists"

Looks like it's early days though..

So we know, as has been posted by @Frangipani from memory, that BeEmotion was just at the EdgeTech+ expo in Japan.

They were showcasing their smart mobility (in cabin) using Akida.

Was just watching a recent, well 5 mths old, video with The Market Bull and the CEO of BeEmotion.

They're focusing on smart mobility, smart health and smart living.

She mentions what we know with their algo work with Panasonic and Paincheck.

What I did like is that she said they are currently working with some luxury car brands (1.27). Wonder if that work is just their algo side or they are also highlighting Akida too like at the expo.




Off that back of this I see they signed a 10 year licence agreement with Cycliq (ASX CYQ) in late Aug this year.

HERE

Liked that they are also planning to deploy on "new" software and hardware. Again, hope we may be in the discussion somewhere.

Cycliq to licence AI solution from BeEmotion
HIGHLIGHTS
• 10-year license agreement with NVISO Group Ltd (to be renamed
BeEmotion.ai Ltd) to integrate AI technology into its range of Fly cameras and
edge devices
• Cycliq planning to deploy the BeEmotion technology in a range of new and
existing software and hardware products
• A$352,000 capital raise envisaged

Snip from the Ann I also liked and wonder if this will extend to real time processing with ultra low power etc too at some point.

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Check this out!
Adam Osseiran is now a member of the Advisory Boards of both BeEmotion.AI (formerly known as NVISO) and Cycliq!

Dot. Dot. Dot. Dot…


“Adam’s knowledge of Neuromorphic Computing and the Hardware components of Edge AI will help Cycliq in the design of vision applications both in-camera and via control box modules that can elevate the features of our current products and expand use cases across and beyond cycling.”



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Dallas

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Frangipani

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Neuromorphic Computing: Revolutionizing the Future of AI with Brain-Inspired Technology​

EXELANCE IT> BLOGS> IT INDUSTRY> NEUROMORPHIC COMPUTING: REVOLUTIONIZING THE FUTURE OF AI WITH BRAIN-INSPIRED TECHNOLOGY
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Picture a future where artificial intelligence seamlessly integrates into our daily lives, mimicking the efficiency and adaptability of the human brain. This isn’t science fiction—it’s the promise of neuromorphic computing, a revolutionary approach that’s set to transform the landscape of AI as we know it.
But why is this technology causing such a stir in the tech world? Traditional computing systems, despite their impressive capabilities, pale in comparison to the human brain’s energy efficiency and processing power. Enter neuromorphic computing—a game-changing solution that draws inspiration from the very organ it aims to emulate. By designing chips that function more like biological neural networks, researchers are unlocking new possibilities for AI that are faster, more efficient, and incredibly powerful.

As we delve into the world of neuromorphic computing, we’ll explore its fundamental principles, the groundbreaking chips making waves in edge AI, and spotlight innovative solutions like BrainChip’s Akida and TENN. Join us on this journey to uncover how brain-inspired technology is revolutionizing the future of AI and paving the way for smarter, more intuitive machines.

Neuromorphic Approach to AI​

Understanding Neuromorphic Computing​

Neuromorphic computing is an innovative approach to artificial intelligence that mimics the brain’s neural networks. This field aims to create systems that potentially revolutionize AI and machine learning.

Key Principles of Neuromorphic Computing​

  • Parallel Processing: Like the brain, neuromorphic systems process information in parallel, enabling faster and more efficient computations.
  • Low Power Consumption: Designed to be energy-efficient, similar to the human brain’s remarkable efficiency.
  • Adaptive Learning: Can learn and adapt in real-time, like biological neural networks.
Traditional vs Neuromorphic Computing
FeatureTraditional ComputingNeuromorphic Computing
ArchitectureSequentialParallel
Power EfficiencyHigh consumptionLow consumption
Learning AbilityPredefined algorithmsAdaptive, real-time learning
Data ProcessingSeparate memory and processingIntegrated memory and processing

Advantages of Neuromorphic AI​

  • Enhanced pattern recognition
  • Improved natural language processing
  • Real-time decision-making capabilities
  • Reduced latency in edge computing
  • More human-like AI interactions

Neuromorphic Chips and Edge AI​

Revolutionizing Edge AI with Neuromorphic Chips​

Neuromorphic chips are transforming edge AI, particularly with their advantages in power consumption and real-time processing.

Key Benefits of Neuromorphic Chips​

  • Energy Efficiency
  • Low Latency
  • On-device Learning
  • Adaptability
Traditional Chips vs Neuromorphic Chips
FeatureTraditional ChipsNeuromorphic Chips
Power ConsumptionHighUltra-low
Processing SpeedVariableNear real-time
Learning CapabilityLimitedContinuous
AdaptabilityFixedDynamic

Applications in Edge Devices​

  • Smart sensors for industrial IoT
  • Autonomous vehicles
  • Wearable health monitors
  • Intelligent home assistants

BrainChip’s Akida and TENN

Akida: A Neuromorphic System-on-Chip

BrainChip’s Akida mimics the brain’s neural structure, offering ultra-low power consumption and real-time edge AI capabilities.

Key Features of Akida

  • Neural Network Processor for efficient processing
  • On-chip learning without cloud connectivity
  • Event-based processing for low latency
  • Flexible architecture supporting CNNs and SNNs

TENN: Temporal Event Neural Network

TENN is BrainChip’s proprietary architecture designed for processing temporal data efficiently with improved accuracy.

Applications of Akida and TENN

  • Autonomous vehicles
  • Industrial IoT
  • Smart home devices
  • Healthcare monitoring systems
  • Cybersecurity

Conclusion

Neuromorphic computing is revolutionizing AI by mimicking the brain’s efficiency and adaptability. Technologies like BrainChip’s Akida and TENN are driving smarter, energy-efficient edge AI solutions that pave the way for faster, more intuitive, and intelligent systems in our daily lives.




While this 👆🏻 is probably just an AI-generated text, the company behind this blog and website is a real-life IT solutions provider from India…

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MDhere

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I know very few words in German. A boy on a train in Switzerland once said to me Iche leibe diche I was like ummm this is awkward lol I'm gathering your post Dallas is as promising as the boy on the train if I had fully understood him at the time lol
 
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