Getupthere
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Computers built like brains could be a 'competition killer'?
Computers built like brains could be much more energy efficient than current designs.
www.bbc.com
BRN Discussion Ongoing
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Pom down under
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Die gewählte Stellenanzeige wurde nicht gefunden. | Mercedes-Benz Group
Tasks
The AI (Artificial Intelligence) Research Team conducts research into current topics relating to artificial intelligence and applies the results to use cases from various specialist areas within the Group. We are researching the application of neuromorphic computing, an emerging technology that draws inspiration from neuroscience and promises particularly fast and energy-efficient machine learning. For this project, we are looking for a working student to support us in building demonstrators and developing novel algorithms.
As pioneers in the field of Innovations & Future Technologies, we overcome boundaries to identify relevant future technologies and innovations and accompany the relevant concepts from prototype to series production. We see ourselves as an innovation partner for all Mercedes-Benz development areas: From components, software & AI, the electric powertrain to the complete vehicle. In the innovation network with colleagues from various departments as well as with external company, start-up and university partners, we provide decisive impetus and steer innovations through to series production.
You will face these challenges:
- Working with new chip technologies
- Setting up demonstrators (streaming sensor data, training machine learning algorithms, deployment on neuromorphic chips, live visualization of processing results)
- Further development and evaluation of novel neuromorphic algorithms
Power consumption doesn't matter.
The exponentially increasing power consumption is irrelevant.
As long as it doesn't play a major role, electricity consumption will continue to rise.
It will only be in 2040 that electricity will no longer be sufficient.
As long as things continue like this, nothing will change.
Cheers
Fullmoonfever
Top 20
Wonder if we'll get a mention.
Yole appear bullish on neuromorphic.
www.edge-ai-vision.com
Yole appear bullish on neuromorphic.
Edge AI and Vision Insights: June 5, 2024 - Edge AI and Vision Alliance
LETTER FROM THE EDITOR Dear Colleague, On Thursday, July 11, 2024 at 9 am PT, the Yole Group will deliver the free webinar “The Rise of Neuromorphic Sensing and Computing: Technology Innovations, Ecosystem Evolutions and Market Trends” in partnership with the Edge AI and Vision Alliance. The...
www.edge-ai-vision.com
| LETTER FROM THE EDITOR |
Dear Colleague, On Thursday, July 11, 2024 at 9 am PT, the Yole Group will deliver the free webinar “The Rise of Neuromorphic Sensing and Computing: Technology Innovations, Ecosystem Evolutions and Market Trends” in partnership with the Edge AI and Vision Alliance. The neuromorphic sensing and computing markets are projected to experience substantial growth in the coming years, reaching a combined value of $8.4B by 2034. Mobile applications will drive the neuromorphic sensing market, while data center applications will lead in the neuromorphic computing market. The neuromorphic ecosystem is maturing, with key players and startups adopting diverse strategies to capitalize on market opportunities. Neuromorphic technologies, inspired by biological brains, offer power-efficient solutions for AI tasks, addressing the declining economic feasibility of scaling semiconductor devices. These technologies provide benefits such as low latency, high scalability, and online learning, enabling real-time edge-AI applications and addressing privacy concerns. Neuromorphic sensing options include standalone event-based sensors and hybrid sensors combining RGB and event-based pixels. Neuromorphic computing systems, featuring event-driven processing and spiking neural network algorithms, enable online learning and autonomous robotics. This webinar, co-presented by Adrien Sanchez and Florian Domengie, senior technology and market analysts at the Yole Group, will delve into the latest advancements in neuromorphic sensing and computing technologies and their applications across various industries, offering insights into the future of sustainable and efficient AI processing at the edge. A question-and-answer session will follow the presentation. For more information and to register, please see the event page. Brian Dipert Editor-In-Chief, Edge AI and Vision Alliance |
wilzy123
Founding Member
What a great post. I can hear the embers of all the nuggets in this post crackling away. Thanks again. The entire TSE community values you.
As always though, we feel bad about your public display of insecurities and your need to use more than zero words in a TSE post. Maybe @Iseki can help you.
Last edited:
wilzy123
Founding Member
SharesForBrekky
Regular
A nice little article here, which also gives reference to an article others posted the other day:
www.lexology.com
"With today's news that Nvidia has become the world’s most valuable company, it is clear that there is huge level of interest and investment in future computing technologies. Nvidia's historical focus on graphics processing has left it well placed to capitalise on the demands of artificial intelligence (AI) algorithms for highly parallel computing architectures. Power consumption remains, however, a major challenge for all providers of AI hardware.
Alternative computer architectures are also receiving significant interest, with the aim being to provide powerful computing performance, but without the high power consumption associated with traditional computing.
As highlighted in this article from the BBC, a dramatically different approach takes inspiration from the brain. In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain. The approach itself has been a research topic for many years. SpiNNaker, a technology platform that has been developed at the University of Manchester, is an ARM-based processor platform optimized for the simulation of spiking neural networks. Companies, such as SpiNNcloud Systems, are now integrating this core technology into practical solutions in the form of neuromorphic supercomputers.
While the advance of AI algorithms into ever-expanding areas of daily life is widely reported, it can also be understood that these advances are enabled by the hardware innovations of companies such as Nvidia and SpiNNcloud, which innovations will undoubtedly be protected by patents. It remains to be seen whether Nvidia's approach, the neuromorphic alternatives, or some other computing technology altogether, will come to dominate the future of AI computing.
In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain."
Neuromorphic challenge to Nvidia?
With today's news that Nvidia has become the world’s most valuable company, it is clear that there is huge level of interest and investment in future…
"With today's news that Nvidia has become the world’s most valuable company, it is clear that there is huge level of interest and investment in future computing technologies. Nvidia's historical focus on graphics processing has left it well placed to capitalise on the demands of artificial intelligence (AI) algorithms for highly parallel computing architectures. Power consumption remains, however, a major challenge for all providers of AI hardware.
Alternative computer architectures are also receiving significant interest, with the aim being to provide powerful computing performance, but without the high power consumption associated with traditional computing.
As highlighted in this article from the BBC, a dramatically different approach takes inspiration from the brain. In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain. The approach itself has been a research topic for many years. SpiNNaker, a technology platform that has been developed at the University of Manchester, is an ARM-based processor platform optimized for the simulation of spiking neural networks. Companies, such as SpiNNcloud Systems, are now integrating this core technology into practical solutions in the form of neuromorphic supercomputers.
While the advance of AI algorithms into ever-expanding areas of daily life is widely reported, it can also be understood that these advances are enabled by the hardware innovations of companies such as Nvidia and SpiNNcloud, which innovations will undoubtedly be protected by patents. It remains to be seen whether Nvidia's approach, the neuromorphic alternatives, or some other computing technology altogether, will come to dominate the future of AI computing.
In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain."
SharesForBrekky
Regular
DingoBorat
Slim
A nice little article here, which also gives reference to an article others posted the other day:
Neuromorphic challenge to Nvidia?
With today's news that Nvidia has become the world’s most valuable company, it is clear that there is huge level of interest and investment in future…
"With today's news that Nvidia has become the world’s most valuable company, it is clear that there is huge level of interest and investment in future computing technologies. Nvidia's historical focus on graphics processing has left it well placed to capitalise on the demands of artificial intelligence (AI) algorithms for highly parallel computing architectures. Power consumption remains, however, a major challenge for all providers of AI hardware.
Alternative computer architectures are also receiving significant interest, with the aim being to provide powerful computing performance, but without the high power consumption associated with traditional computing.
As highlighted in this article from the BBC, a dramatically different approach takes inspiration from the brain. In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain. The approach itself has been a research topic for many years. SpiNNaker, a technology platform that has been developed at the University of Manchester, is an ARM-based processor platform optimized for the simulation of spiking neural networks. Companies, such as SpiNNcloud Systems, are now integrating this core technology into practical solutions in the form of neuromorphic supercomputers.
While the advance of AI algorithms into ever-expanding areas of daily life is widely reported, it can also be understood that these advances are enabled by the hardware innovations of companies such as Nvidia and SpiNNcloud, which innovations will undoubtedly be protected by patents. It remains to be seen whether Nvidia's approach, the neuromorphic alternatives, or some other computing technology altogether, will come to dominate the future of AI computing.
In neuromorphic computing, electronic devices imitate neurons and synapses, and are interconnected in a way that resembles the electrical network of the brain."
This company briefly overtook Apple as the world's biggest this year. It's just done it again
As the AI race accelerates, this once-unknown company's fortunes have soared. Now it's listed alongside the likes of Apple and Microsoft as one of the most valuable technology companies in the world.
Hmm, I really like the ring of that headline..
Reminds me of another Company, that despite its sometimes "meme stock" portrayal, is relatively unknown and even discounted now, by many of the "few" that do know.
Or so it would seem, looking at the share price..
All we have to do, is "start" delivering on our commercial potential and this Company and stock, may break a few records of it's own
Jacob Kiraz
Member
Yeah mate everyday do you have a problem with that
Food4 thought
Regular
Are we a few days closer to an announcement or what ????
Come on end of June
It will be good to see the end of June and head into a new financial year with a big fat juicy ASX announcement.
I have be waiting very calmly and just want to get back to all time highs
I can’t believe that the sp is cheaper than it was 4 years ago and so much has happened since.
I am still very positive about the future but I am getting a little twitchy to be honest
And I am not sure why…..
Come on end of June
It will be good to see the end of June and head into a new financial year with a big fat juicy ASX announcement.
I have be waiting very calmly and just want to get back to all time highs
I can’t believe that the sp is cheaper than it was 4 years ago and so much has happened since.
I am still very positive about the future but I am getting a little twitchy to be honest
And I am not sure why…..
Frangipani
Top 20
Somewhat disappointingly, there is no image of Akida to be spotted in the pictures showing impressions of the first “Swedish SNN network seminar on industrial applications of SNN”.
Ericsson’s Ahsan Javed Awan continues to be enamoured with Intel, although I noticed a slight change in his slide, where “neuromorphic hardware” is no longer followed by “(Loihi 2)”. Interesting, given that “Lava is platform-agnostic, so that applications can be prototyped on conventional CPUs/GPUs and deployed to heterogeneous system architectures spanning both conventional processors as well as a range of neuromorphic chips such as Intel’s Loihi.”
(https://lava-nc.org/)
Could that signify he is also trying out other processors these days?
June 2024
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418864
compare to July 2023
Dylan Muir from SynSense gave a remote presentation on Speck:
And I also spotted the SpiNNaker and IBM logos on the opening slide of the online presentation by Jörg Conradt (KTH Stockholm) - no surprise here.
Hopefully, researchers in Jörg Conradt’s Neuro Computing Systems lab that moved from Munich (TUM) to Stockholm (KTH), will give Akida another chance one of these days (after the not overly glorious assessment of two KTH Master students in their degree project Neuromorphic Medical Image Analysis at the Edge, which was shared here before: https://www.diva-portal.org/smash/get/diva2:1779206/FULLTEXT01.pdf), trusting the positive feedback by two more advanced researchers Jörg Conradt knows well, who have (resp soon will have) first-hand-experience with AKD1000:
When he was still at TUM, Jörg Conradt was the PhD supervisor of Cristian Axenie (now head of SPICES lab at TH Nürnberg, whose team came runner-up in the 2023 tinyML Pedestrian Detection Hackathon utilising Akida) and co-authored a number of papers with him, and now at Stockholm, he is the PhD supervisor of Jens Egholm Pedersen, who is one of the co-organisers of the topic area Neuromorphic systems for space applications at the upcoming Telluride Neuromorphic Workshop, that will provide participants with neuromorphic hardware, including Akida. (I’d venture a guess that the name Jens on the slide refers to him).
Let’s savour once again the above quote by Rasmus Lundqvist, who is a Senior Researcher in Autonomous Systems at RISE (Sweden’s state-owned research institute and innovation partner), with a focus on drones and innovative aerial mobility.
www.linkedin.com
“And mark my words; there is no more suitable AI tech for low-power low-latency than SNNs and neuromorphic chips to run them.”
RISE’s ongoing project Visual Inspection of airspace for air traffic and SEcuRity (a collaboration with SAAB, https://www.saab.com/) sounds like a perfect use case for Akida:
www.ri.se
Ericsson’s Ahsan Javed Awan continues to be enamoured with Intel, although I noticed a slight change in his slide, where “neuromorphic hardware” is no longer followed by “(Loihi 2)”. Interesting, given that “Lava is platform-agnostic, so that applications can be prototyped on conventional CPUs/GPUs and deployed to heterogeneous system architectures spanning both conventional processors as well as a range of neuromorphic chips such as Intel’s Loihi.”
(https://lava-nc.org/)
Could that signify he is also trying out other processors these days?
June 2024
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418864
compare to July 2023
Dylan Muir from SynSense gave a remote presentation on Speck:
And I also spotted the SpiNNaker and IBM logos on the opening slide of the online presentation by Jörg Conradt (KTH Stockholm) - no surprise here.
Hopefully, researchers in Jörg Conradt’s Neuro Computing Systems lab that moved from Munich (TUM) to Stockholm (KTH), will give Akida another chance one of these days (after the not overly glorious assessment of two KTH Master students in their degree project Neuromorphic Medical Image Analysis at the Edge, which was shared here before: https://www.diva-portal.org/smash/get/diva2:1779206/FULLTEXT01.pdf), trusting the positive feedback by two more advanced researchers Jörg Conradt knows well, who have (resp soon will have) first-hand-experience with AKD1000:
When he was still at TUM, Jörg Conradt was the PhD supervisor of Cristian Axenie (now head of SPICES lab at TH Nürnberg, whose team came runner-up in the 2023 tinyML Pedestrian Detection Hackathon utilising Akida) and co-authored a number of papers with him, and now at Stockholm, he is the PhD supervisor of Jens Egholm Pedersen, who is one of the co-organisers of the topic area Neuromorphic systems for space applications at the upcoming Telluride Neuromorphic Workshop, that will provide participants with neuromorphic hardware, including Akida. (I’d venture a guess that the name Jens on the slide refers to him).
Let’s savour once again the above quote by Rasmus Lundqvist, who is a Senior Researcher in Autonomous Systems at RISE (Sweden’s state-owned research institute and innovation partner), with a focus on drones and innovative aerial mobility.
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“And mark my words; there is no more suitable AI tech for low-power low-latency than SNNs and neuromorphic chips to run them.”
RISE’s ongoing project Visual Inspection of airspace for air traffic and SEcuRity (a collaboration with SAAB, https://www.saab.com/) sounds like a perfect use case for Akida:
Visual Inspection of airspace for air traffic safety and SEcuRity | RISE
With a growing number of drones in the lower airspace, it becomes important to be able to, in a cost-efficient way, identify the drones that do not cooperate with U-Space Service Providers (USSP). This is especially important in areas nearby critical infrastructure.
Because the push down in sp is doing exactly what it's designed to do, demoralise your confidence and make you second guess your decision to invest.
Don't let them win
My opinion only, dyor
Last edited:
Edge AI and Vision Insights: June 5, 2024 - Edge AI and Vision Alliance
LETTER FROM THE EDITOR Dear Colleague, On Thursday, July 11, 2024 at 9 am PT, the Yole Group will deliver the free webinar “The Rise of Neuromorphic Sensing and Computing: Technology Innovations, Ecosystem Evolutions and Market Trends” in partnership with the Edge AI and Vision Alliance. The...
www.edge-ai-vision.com
Thomas Hülsing on LinkedIn: Edge AI and Vision Insights: June 5, 2024
The Rise of Neuromorphic Sensing and Computing: • Technology Innovations • Ecosystem Evolutions • Market Trends Neuromorphic technologies, inspired by…
Frangipani
Top 20
Somewhat disappointingly, there is no image of Akida to be spotted in the pictures showing impressions of the first “Swedish SNN network seminar on industrial applications of SNN”.
View attachment 65066
Ericsson’s Ahsan Javed Awan continues to be enamoured with Intel, although I noticed a slight change in his slide, where “neuromorphic hardware” is no longer followed by “(Loihi 2)”. Interesting, given that “Lava is platform-agnostic, so that applications can be prototyped on conventional CPUs/GPUs and deployed to heterogeneous system architectures spanning both conventional processors as well as a range of neuromorphic chips such as Intel’s Loihi.”
(https://lava-nc.org/)
Could that signify he is also trying out other processors these days?
June 2024
View attachment 65075
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418864
compare to July 2023
View attachment 65074
Dylan Muir from SynSense gave a remote presentation on Speck:
View attachment 65067
And I also spotted the SpiNNaker and IBM logos on the opening slide of the online presentation by Jörg Conradt (KTH Stockholm) - no surprise here.
View attachment 65098
Hopefully, researchers in Jörg Conradt’s Neuro Computing Systems lab that moved from Munich (TUM) to Stockholm (KTH), will give Akida another chance one of these days (after the not overly glorious assessment of two KTH Master students in their degree project Neuromorphic Medical Image Analysis at the Edge, which was shared here before: https://www.diva-portal.org/smash/get/diva2:1779206/FULLTEXT01.pdf), trusting the positive feedback by two more advanced researchers Jörg Conradt knows well, who have (resp soon will have) first-hand-experience with AKD1000:
When he was still at TUM, Jörg Conradt was the PhD supervisor of Cristian Axenie (now head of SPICES lab at TH Nürnberg, whose team came runner-up in the 2023 tinyML Pedestrian Detection Hackathon utilising Akida) and co-authored a number of papers with him, and now at Stockholm, he is the PhD supervisor of Jens Egholm Pedersen, who is one of the co-organisers of the topic area Neuromorphic systems for space applications at the upcoming Telluride Neuromorphic Workshop, that will provide participants with neuromorphic hardware, including Akida. (I’d venture a guess that the name Jens on the slide refers to him).
Let’s savour once again the above quote by Rasmus Lundqvist, who is a Senior Researcher in Autonomous Systems at RISE (Sweden’s state-owned research institute and innovation partner), with a focus on drones and innovative aerial mobility.
LinkedIn Login, Sign in | LinkedIn
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.
“And mark my words; there is no more suitable AI tech for low-power low-latency than SNNs and neuromorphic chips to run them.”
RISE’s ongoing project Visual Inspection of airspace for air traffic and SEcuRity (a collaboration with SAAB, https://www.saab.com/) sounds like a perfect use case for Akida:
View attachment 65118
View attachment 65119
Visual Inspection of airspace for air traffic safety and SEcuRity | RISE
With a growing number of drones in the lower airspace, it becomes important to be able to, in a cost-efficient way, identify the drones that do not cooperate with U-Space Service Providers (USSP). This is especially important in areas nearby critical infrastructure.
View attachment 65121
When I just now revisited yesterday’s LinkedIn post by Rasmus Lindqvist, I noticed that Markus May has meanwhile secured Alf Kuchenbuch a presentation slot at the next Swedish SNN Network event!
Bless your heart @wilzy123. I hope the rest of your day is as pleasant as you are
Smoothsailing
Regular
Dont let the bots get you down we’re real real close now …or could it be
Not getting enough of certain nutrients can cause muscle spasms, particularly in the eyelids, calves, and hands. Common types of nutritional deficiencies include vitamin D, vitamin B, and calcium deficiencies. Dehydration. Dehydration can cause muscle contraction and twitching, especially in the body's larger muscles
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