Frangipani
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Looks like Nikunj Kotecha left Brainchip end of last year? 
BRN Discussion Ongoing
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Fullmoonfever
Top 20
Maybe they brought Anup over to replace the vacancy?Looks like Nikunj Kotecha left Brainchip end of last year?
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makes sense in reference to Brainchip imo.
futurism.com
CEO of Google DeepMind Says AI Industry Full of Hype and Grifters
Google DeepMind CEO Demis Hassibis likened the hype shrouding the AI gold rush to that of the crypto industry's high-dollar funding race.
futurism.com
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Pom down under
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Humble Genius
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BRAINCHIP, MAKING AI UBIQUITOUS | FineEngineering Magazine
BrainChip is the #worldwide leader in on-chip edge #AIprocessing and learning #technology, that enables #faster, #efficient, secure, and customizable intelligent devices untethered from the #cloud. "#BrainChip is focused on #AI at the #Edge. The vision of the company is to make #AIubiquitous...
supersonic001
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#mercedesbenz #leadininnovation | Markus Schäfer | 14 comments
“Powertrain Disruptor of the Year” and “Technology Rollout of the Year” – two titles awarded recently to Mercedes-Benz by renowned American publication Newsweek as part of their World’s Greatest Auto Disruptors 2024 awards. The drivetrain honoured is the Mercedes-Benz Electric Drive Unit (MB...
Pom down under
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supersonic001
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#embeddedworld #demokits #mcu | Renesas Electronics
Are you planning to attend embedded world next week? Don’t miss out on your opportunity to secure a demo kit of our upcoming, new ultra-low-power MCU series. Sign up online today and visit the Renesas stand (1-234) to receive your free demo kit! Please note that you must be physically present...
White Horse
Regular
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.makes sense in reference to Brainchip imo.
CEO of Google DeepMind Says AI Industry Full of Hype and Grifters
Google DeepMind CEO Demis Hassibis likened the hype shrouding the AI gold rush to that of the crypto industry's high-dollar funding race.
Frangipani
Top 20
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:
fromthecrowsnest.transistor.fm
“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…)
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.
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:
From the Crows' Nest | Transcript: Advancing Cognitive Warfare: Unveiling Neuromorphic Frontiers
In this episode of From the Crow’s Nest, host Ken Miller talks to author Dr. Joseph Guerci about the evolution and outlook for cognitive electronic warfare systems. Dr. Guerci is an internationally...
“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…)
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.
cosors
👀
That's not really true. I listened to a science podcast about that issue.But they don’t lie
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:
KI und Lügen - Trickst uns Künstliche Intelligenz bald aus?
Sie fällt Mitspielern in den Rücken, gibt sich als Mensch mit Sehbehinderung aus. Wenn KI das Lügen lernt, stellt sich die Frage: Wird sie kontrollierbar?
How can the goal be achieved? By circumventing the security barriers, by pretending not to lie.
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Tothemoon24
Top 20
RobjHunt
Regular
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"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:
KI und Lügen - Trickst uns Künstliche Intelligenz bald aus?
Sie fällt Mitspielern in den Rücken, gibt sich als Mensch mit Sehbehinderung aus. Wenn KI das Lügen lernt, stellt sich die Frage: Wird sie kontrollierbar?www.deutschlandfunk.de
How can the goal be achieved? By circumventing the security barriers, by pretending not to lie.
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!"
stuart888
Regular
OpenAI went sort of silent of videos for the past 3 months. But today it changed today!
Very interesting images/videos!
https://www.youtube.com/@OpenAI/videos
Very interesting images/videos!
https://www.youtube.com/@OpenAI/videos
Advancing science: Microsoft and Quantinuum demonstrate the most reliable logical qubits on record with an error rate 800x better than physical qubits - The Official Microsoft Blog
Today signifies a major achievement for the entire quantum ecosystem: Microsoft and Quantinuum demonstrated the most reliable logical qubits on record. By applying Microsoft’s breakthrough qubit-virtualization system, with error diagnostics and correction, to Quantinuum’s ion-trap hardware, we...
blogs.microsoft.com
Quantinuum and Microsoft achieve breakthrough that unlocks a new era of reliable quantum computing
Quantinuum’s System Model H2 enabled Microsoft’s qubit-virtualization system to generate the most reliable logical qubits ever recorded, a breakthrough with wide ranging implications for everyone in quantum computing, accelerating progress and challenging current assumptions about the timeline...
www.quantinuum.com
Bravo
If ARM was an arm, BRN would be its biceps💪!
Apple's Rumored AI Plans: iOS 18, Siri Upgrades and What Else to Expect
AI is expected to be the star of the show at WWDC 2024.
EXtract 1
Extract 2
stuart888
Regular
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.
stuart888
Regular
Good point Chips. They actually do come with integrated Lights front and rear. It is called the Equipped Version, and it is $100 dollars more, plus it comes with the fenders too.
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