Pom down under
Top 20
Have you scared all the other customers off
BRN Discussion Ongoing
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FJ-215
Regular
Mmmmm, It was full when I walked in.Have you scared all the other customers off
Why insulting me? Because I see it differently? Did I insult you?
HopalongPetrovski
I'm Spartacus!
Pom down under
Top 20
Not listened too.
MDhere
Top 20
CHIPS
Regular
#edgeai #innovation #akida #tenns | BrainChip
Trim Capital has released a new research report on BrainChip. The report reviews the company’s half year results and growing activity in the Edge AI sector. It highlights BrainChip’s partnerships across defense, space, IoT, and enterprise applications, as well as the wider industry adoption of...www.linkedin.com
Does the report link work ? I’m getting 404 error
It works fine from my side.
And once again we have valuable comments under the LinkedIn post from highly intelligent investors who are putting our company in a positive light… congratulations… with your contributions BrainChip is gaining attractiveness. More than the report itself…
Fullmoonfever
Top 20
Good to see MB also running a joint project with the University below, this one on neuromorphic vision / cameras.
Not dug deep too try find any connection yet but you trust we in the mix in the background with the other players they mentioned in the recent presso.
Is in German so translated version pasted below.
www.industr.com
Neuromorphic computing mimics the human brain, making AI calculations of intelligent systems more energy efficient and faster. For example, safety systems could detect traffic signs, lanes and objects much better and react more quickly even in poor visibility – without affecting the vehicle's range.
11.12.2024
Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 percent compared to today's systems.
An essential component of neuromorphic computing are neuromorphic cameras.
The so-called event cameras are the focus of the HKA's EVSC project. This camera technology represents a paradigm shift: Unlike conventional cameras, event cameras dynamically perceive changes in your field of vision instead of taking an image at fixed intervals. This is accompanied by a dramatic improvement in temporal resolution Event cameras can provide the autonomous driving system with new information within a few microseconds, while conventional image sensors are „blind“ in the meantime.
Applied to the example from above, an event camera reduces the response distance to around 3 cm at a speed of 100 km/h. A significant improvement of factor 30 to current systems. „The greatest difficulty in implementing this revolutionary technology“, says Prof. Dr. Jan Bauer, Professor of Image Processing & Neural Networks at the Faculty of Electrical and Information Technology at HKA, „is the integration into the overall system, which is often associated with complex cabling and high power consumption of the cameras. In our project, we are also looking at how we can improve the ability of event cameras to be integrated into the car. Our main goal is to use compression to limit the peak bit rate in data transmission, reducing the cost and net power consumption of transmitting the event camera data.“
With the project cooperation, Karlsruhe University of Applied Sciences is consistently taking a further step in helping to shape the future of autonomous driving, because Prof. Dr. Bauer is sure that the use of event cameras will significantly expand the ability of autonomous vehicles to capture the environment more quickly and accurately. „And with the EVSC project we can significantly improve the ability of this new camera technology to be integrated into the vehicle“, said the HKA researcher.
Not dug deep too try find any connection yet but you trust we in the mix in the background with the other players they mentioned in the recent presso.
Is in German so translated version pasted below.
Autonomes Fahren mit Neuromorphic Computing weiterentwickeln
Durch die Zusammenarbeit im Projekt EVSC (Event Vision Stream Compression) unterstützt die Hochschule Karlsruhe (HKA) Mercedes-Benz bei der Weiterentwicklung autonomer Fahrtechnologien. Der Fokus liegt dabei auf der Optimierung komplexer Kameratechnologien im Bereich des Neuromorphic Computing.
Further develop autonomous driving with Neuromorphic Computing
Neuromorphic computing mimics the human brain, making AI calculations of intelligent systems more energy efficient and faster. For example, safety systems could detect traffic signs, lanes and objects much better and react more quickly even in poor visibility – without affecting the vehicle's range.
11.12.2024
Through collaboration in the EVSC (Event Vision Stream Compression) project, Karlsruhe University of Applied Sciences (HKA) supports Mercedes-Benz in the further development of autonomous driving technologies. The focus is on optimizing complex camera technologies in the area of neuromorphic computing.
In addition to the rest of the sensors, intelligent camera systems are considered a core technology in autonomous driving. Current cameras create an image at fixed intervals. They continuously provide the autonomous driving system with snapshots of the environment. However, there is a disadvantage in how it works: the driving system does not receive any information from the camera system during the time that passes between taking two images. A typical frame rate of current cameras is 30 frames per second. So at a driving speed of 100 km/h we are already moving a meter before the autonomous system receives new visual information. In addition, today's camera data processing systems require a lot of energy because 30 frames per second have to be completely processed.New approach with Neuromorphic Computing
Mercedes-Benz has now launched a comprehensive international research project. The automobile giant would like to advance the technical possibilities for intelligent mobility, including through Computing. This approach mimics the human brain, making AI calculations of intelligent systems more energy efficient and faster. For example, safety systems could detect traffic signs, lanes and objects much better and react more quickly even in poor visibility – without affecting the vehicle's range.Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 percent compared to today's systems.
An essential component of neuromorphic computing are neuromorphic cameras.
The so-called event cameras are the focus of the HKA's EVSC project. This camera technology represents a paradigm shift: Unlike conventional cameras, event cameras dynamically perceive changes in your field of vision instead of taking an image at fixed intervals. This is accompanied by a dramatic improvement in temporal resolution Event cameras can provide the autonomous driving system with new information within a few microseconds, while conventional image sensors are „blind“ in the meantime.
Applied to the example from above, an event camera reduces the response distance to around 3 cm at a speed of 100 km/h. A significant improvement of factor 30 to current systems. „The greatest difficulty in implementing this revolutionary technology“, says Prof. Dr. Jan Bauer, Professor of Image Processing & Neural Networks at the Faculty of Electrical and Information Technology at HKA, „is the integration into the overall system, which is often associated with complex cabling and high power consumption of the cameras. In our project, we are also looking at how we can improve the ability of event cameras to be integrated into the car. Our main goal is to use compression to limit the peak bit rate in data transmission, reducing the cost and net power consumption of transmitting the event camera data.“
With the project cooperation, Karlsruhe University of Applied Sciences is consistently taking a further step in helping to shape the future of autonomous driving, because Prof. Dr. Bauer is sure that the use of event cameras will significantly expand the ability of autonomous vehicles to capture the environment more quickly and accurately. „And with the EVSC project we can significantly improve the ability of this new camera technology to be integrated into the vehicle“, said the HKA researcher.
HopalongPetrovski
I'm Spartacus!
Don't forget to click on their link.
The Nigerian Prince's and lonely Ukranian girls can't understand why they haven't heard from you lately baby.
Actually, we're engaged!Don't forget to click on their link.
The Nigerian Prince's and lonely Ukranian girls can't understand why they haven't heard from you lately baby.
Baron Von Ricta
Regular
'SP continually being suppressed/maintained at ~$0.20 for no apparent reason.'
I think most of us agree that the lack of information announced on the ASX is partly to blame. Where are the 'Investor presentations' that other companies announce on the ASX as not price sensitive. As it stands at the moment the average Joe BLOW would not even know about BrainChip or what they do.
By not announcing milestones, Company news and other 'non-upsetting ASX' info, the manipulators will continue to have a field day.
I thought to myself, Self, does the low share price help the Company?? Self replied, it does help those who take some of their remuneration in shares.
Now, I'm just pulling some figures out of the air but if an employee under this scheme takes $50K in shares @ 20 cents heshe would get 250000 shares. If the share price was $1 heshe would get 50K.
Now when the share price does get to say $3. those shares are worth $750K Versus $150K. So all I know that if I was confident in the success of the Company I know which parcel of shares I would rather have!!
Now, I'm not suggesting anything.....................................
*No AI assistance was used to prepare this post, in fact very little intelligence at all was used.*
Pom down under
Top 20
Neuromorphic Modeling of Molecular Signatures in the Human Spine
smoothsailing18
Regular
FF
Just in case you think the above is just an academic oddity both Mercedes Benz and Nissan have been working on this exact same idea for quite some time and in fact it features as part of Mercedes Benz's future vehicle:
https://www.bitbrain.com/blog/nissan-brain-to-vehicle-technology
Now perhaps it is a big leap but as Mercedes Benz is working with Brainchip and this paper confirms the benefits of using Brainchip's technology for this purpose. Not to mention the Onsor Nexa glasses as further proof of AKIDA's claim to fame in this area. It would be a brave person who would discount that this is one of the many areas Mercedes Benz is looking at with Brainchip particularly now that AKIDA 2.0 TENNS is fully in play. Particularly as we know thanks to @FullMoonFever finding and sharing the presentation by the Neuromorphic research arm at Mercedes Benz that it is aware of not just AKD1000 but also AKIDA 2.0
Just in case you think the above is just an academic oddity both Mercedes Benz and Nissan have been working on this exact same idea for quite some time and in fact it features as part of Mercedes Benz's future vehicle:
https://www.bitbrain.com/blog/nissan-brain-to-vehicle-technology
Now perhaps it is a big leap but as Mercedes Benz is working with Brainchip and this paper confirms the benefits of using Brainchip's technology for this purpose. Not to mention the Onsor Nexa glasses as further proof of AKIDA's claim to fame in this area. It would be a brave person who would discount that this is one of the many areas Mercedes Benz is looking at with Brainchip particularly now that AKIDA 2.0 TENNS is fully in play. Particularly as we know thanks to @FullMoonFever finding and sharing the presentation by the Neuromorphic research arm at Mercedes Benz that it is aware of not just AKD1000 but also AKIDA 2.0
TheDrooben
Pretty Pretty Pretty Pretty Good
Interesting........Tata getting involved in this field as well possibly using Akida (patent previously posted)....
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