BRN Discussion Ongoing

IloveLamp

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Does not look like it connects to the internet, but it DOES. Where is the battery? Where is the engine? Makes no noise.

SNN with low power would be perfect for Ebikes.

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Frangipani

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Looks like Nikunj Kotecha left Brainchip end of last year? 🤔

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IloveLamp

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Pom down under, I was merely trying to highlight the fact that BrainChip and Socionext have been working together for over 4 years and I was thinking that between them they may already have something to offer right now, not 2-3 years down the track. Would anyone else care to agree?
I hardly read anything properly hence the confusion lol

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White Horse

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IloveLamp

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You have a habit of making assumptions, that display a basic ignorance of what we do, and where we fit in the would of AI.
Ok 👍

Feel better?
 
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Frangipani

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Here is another preprint published yesterday, in which Prof. Osvaldo Simeone from King’s College London is listed as one of the authors. His five co-authors are all from Berlin (Fraunhofer Heinrich Hertz Institute and Technical University of Berlin).

While no specific neuromorphic hardware is mentioned (although the paper’s first reference is to a 2021 paper by Intel researchers on Loihi and the penultimate one is to Prophesee’s EVK4 HD), it is nevertheless an interesting article as it shows that the wireless community is at the forefront of advancing cutting-edge technologies and thus confirms what ISL’s CEO Dr. Joe Guerci said in the recent From The Crow’s Nest podcast:


“Well, and to amplify that point, all the advanced capabilities that we have in our RF systems, radar and EW, most of that is driven by the wireless community, the trillion-dollar wireless community compared to a paltry radar and EW ecosystem.”

Also note the funding supported by the governments of Germany and the UK as well as through the EU’s Horizon Europe funding programme (luckily for King’s College London, post-Brexit UK it is still an associated country…)

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VII. CONCLUSIONS

In this work, we introduced a new system solution for device-edge co-inference that targets energy efficiency at the end device using neuromorphic hardware and signal processing, while implementing conventional radio and computing technologies at the edge. The investigated communication scheme combines on-device SNN and server-based ANN, leveraging variational directed information bottleneck technique to perform inference tasks. From a deployment perspective, our model demonstrates superior performance, less need for communication overhead and robustness under time-varying channel conditions, implying promising potential in the further 6G work. Aspects of the proposed system solution were validated in a preliminary testbed setup that implements a wireless robotic control application based on gesture recognition via a neuromorphic sensor. The testbed setup is currently being expanded to integrate end-to-end learning via an impulse-radio communication link. The proposed architecture and the corresponding testbed setup are general in the sense that they can support the implementation of different semantic tasks. Besides applications in robotics, in the future, we will also consider bio-medical applications that leverage the energy and communication efficiency of this architecture.
 
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cosors

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But they don’t lie 😉
That's not really true. I listened to a science podcast about that issue.

Even a system that has programmed extra honest as a strategy game participant deliberately lied.
AI systems have learned how to deceive humans. What does that mean for our future?
Just one of several examples. It is also about a ChatGPT4 trading bot programmed by Apollo Research in London to manage a fictitious portfolio.
Hopa mentioned the famous example of the capcha where the Ai/computer lied to the person it called and claimed it was blind.

Unfortunately, the podcast is only in German.

By the way, I find it interesting that Ai systems were proven to have answered absolutely correctly and then floundered after being accused of making false statements.
However, Ai can definitely lie.


"AI and lies
Will artificial intelligence soon trick us?

Artificial intelligence has learnt to deceive. There are already cases in which the systems have lied to people. Some experts are asking themselves: can we still trust the machines we create?"

Maybe for the Germans among us. I find it this very interesting:

How can the goal be achieved? By circumventing the security barriers, by pretending not to lie.
 
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Tothemoon24

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RobjHunt

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That's not really true. I listened to a science podcast about that issue.

Even a system that has programmed extra honest as a strategy game participant deliberately lied.
AI systems have learned how to deceive humans. What does that mean for our future?
Just one of several examples. It is also about a ChatGPT4 trading bot programmed by Apollo Research in London to manage a fictitious portfolio.
Hopa mentioned the famous example of the capcha where the Ai/computer lied to the person it called and claimed it was blind.

Unfortunately, the podcast is only in German.

By the way, I find it interesting that Ai systems were proven to have answered absolutely correctly and then floundered after being accused of making false statements.
However, Ai can definitely lie.


"AI and lies
Will artificial intelligence soon trick us?

Artificial intelligence has learnt to deceive. There are already cases in which the systems have lied to people. Some experts are asking themselves: can we still trust the machines we create?"

Maybe for the Germans among us. I find it this very interesting:

How can the goal be achieved? By circumventing the security barriers, by pretending not to lie.
Mmmm, yes. I was actually relaying part of an old yarn that my father once told me years ago when big companies converted to computers, about an older fellow who was sent an excessively high electricity bill. When he queried the bill with the electricity company the employee exclaimed "I'm sorry sir but there is no mistake because computers do not lie" and needed to pay the full amount. Then a couple of months later the gentleman received quite a substantial credit from the electricity company in the form of a cheque. When the electricity company tried to retrieve the amount that was mistakenly sent to the gentleman he replied "I'm sorry sir but computers do not lie" ;)
 
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skutza

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Well done to all the.dot joiners and investigators on how good AKIDA is. I'm more convinced than ever that it works well and could be the future. But I'll keep doing what Sean said and watch the financials. As old mate Whitlam said "God save the Queen because only revenue is going to save the CEO!"
 
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stuart888

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IloveLamp

Top 20
🤔



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Bravo

If ARM was an arm, BRN would be its biceps💪!
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stuart888

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The Digital Twin that Jensen speaks of so often appears so perfect in the Tesla Car Monitor. When I watch these videos, I focus on the that Digital Twin monitor display.

First time I saw it in night mode, and it seems to work fantastically.

Thanks mrgds for the video. Tesla is good for the world, and ultimately their massive AI video learning library is going to shine.

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