BRN Discussion Ongoing

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GStocks123

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Anyone looked into this?? I wonder 🤔

-Worlds first RISC-V AI SOC
-Up to 50 TOPS
-No cloud required on some LLMs via local AI compute

 
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BrainShit

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Last edited:
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manny100

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Frangipani

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A missed chance not to have had a BrainChip representative on that panel at the Black Swan Summit in Perth, of all places…

At least Dylan Muir from SynSense attended as an advocate for our common cause “to shift inference loads out of the data centre to edge and IoT devices” by promoting ultra-low power neuromorphic processors that “will change the balance of the computing market, and power more energy-sustainable AI”, although he would obviously have been spruiking his company’s own products such as Speck or Xylo.


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Frangipani

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7für7

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Well well …So, a Gold Sponsor… There must be a secret stash of money in the office somewhere… one we don’t know about. 🧐
 
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7für7

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Oh man, for a moment I was worried it might rise to 24 cents. But now we’re back to our usual routine 😇 Bam, 22.5 just like we’re used to…
 

Gazzafish

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Anyone else feel we are in a “media blackout” period…. Hmmmmmm🤔
 
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7für7

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Anyone else feel we are in a “media blackout” period…. Hmmmmmm🤔
It feels more like a “media black hole” if you ask me…
 
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7für7

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I have this vague feeling that they are holding back any announcements that would lead to a rise in the stock price ( if there is any at all 😂) until after the transfer to the USA, meaning after the RS. It would have been too good to be true… Can anyone provide a counterargument? I’d welcome that.
 
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I have this vague feeling that they are holding back any announcements that would lead to a rise in the stock price ( if there is any at all 😂) until after the transfer to the USA, meaning after the RS. It would have been too good to be true… Can anyone provide a counterargument? I’d welcome that.
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Tothemoon24

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Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits​

By Keith Cowing
Status Report
astro-ph.IM
March 26, 2025
LinkedInFacebookTwitter
Filed under astro-ph.IM, astronomy, imaging, Spectroscopy, Stellar Cartography, telescope
Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits

High dynamic range of neuromorphic camera: (a) Image of the Trapezium cluster formed by accumulating events in 200ms window from the neuromorphic camera with a slewing telescope, where red represents positive events and green indicates negative vents. (b) Optical image of the Trapezium star cluster observed through the Hubble Space Telescope [86]. (c) Image of Vega and a nearby faint star, ∼ 200′′ apart, demonstrating a dynamic range exceeding 100dB. (d) High dynamic imaging of star Betelgeuse, with a neighbouring faint star visible at roughly ∼ 170′′ distance. — astro-ph.IM
To deepen our understanding of optical astronomy, we must advance imaging technology to overcome conventional frame-based cameras’ limited dynamic range and temporal resolution. Our Perspective paper examines how neuromorphic cameras can effectively address these challenges.
Drawing inspiration from the human retina, neuromorphic cameras excel in speed and high dynamic range by utilizing asynchronous pixel operation and logarithmic photocurrent conversion, making them highly effective for celestial imaging.
We use 1300 mm terrestrial telescope to demonstrate the neuromorphic camera’s ability to simultaneously capture faint and bright celestial sources while preventing saturation effects.
We illustrate its photometric capabilities through aperture photometry of a star field with faint stars. Detection of the faint gas cloud structure of the Trapezium cluster during a full moon night highlights the camera’s high dynamic range, effectively mitigating static glare from lunar illumination.
Our investigations also include detecting meteorite passing near the Moon and Earth, as well as imaging satellites and anthropogenic debris with exceptionally high temporal resolution using a 200mm telescope. Our observations show the immense potential of neuromorphic cameras in advancing astronomical optical imaging and pushing the boundaries of observational astronomy.
Satyapreet Singh Yadav, Bikram Pradhan, Kenil Rajendrabhai Ajudiya, T. S. Kumar, Nirupam Roy, Andre Van Schaik, Chetan Singh Thakur
Comments: Optical astronomy, Neuromorphic camera, Photometry, Event-based, Asynchronous, High dynamic range, High temporal resolution, Meteorite imaging
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Emerging Technologies (cs.ET); Neural and Evolutionary Computing (cs.NE)
Cite as: arXiv:2503.15883 [astro-ph.IM] (or arXiv:2503.15883v1 [astro-ph.IM] for this version)
https://doi.org/10.48550/arXiv.2503.15883
Focus to learn more
Submission history
From: Satyapreet Singh Yadav
[v1] Thu, 20 Mar 2025 06:11:29 UTC (4,364 KB)
https://arxiv.org/abs/2503.15883
Astrobiology, Astronomy, Stellar Cartography,
keith_cowing.jpg

Keith Cowing
Explorers Club Fellow, ex-NASA Space Station Payload manager/space biologist, Away Teams, Journalist, Lapsed climber, Synaesthete, Na’Vi-Jedi-Freman-Buddhist-mix, ASL, Devon Island and Everest Base Camp veteran, (he/him) 🖖🏻
 
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The Pope

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I have this vague feeling that they are holding back any announcements that would lead to a rise in the stock price ( if there is any at all 😂) until after the transfer to the USA, meaning after the RS. It would have been too good to be true… Can anyone provide a counterargument? I’d welcome that.
Rather put you on ignore. Done !!
 
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7für7

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Diogenese

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Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits​

By Keith Cowing
Status Report
astro-ph.IM
March 26, 2025
LinkedInFacebookTwitter
Filed under astro-ph.IM, astronomy, imaging, Spectroscopy, Stellar Cartography, telescope
Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits

High dynamic range of neuromorphic camera: (a) Image of the Trapezium cluster formed by accumulating events in 200ms window from the neuromorphic camera with a slewing telescope, where red represents positive events and green indicates negative vents. (b) Optical image of the Trapezium star cluster observed through the Hubble Space Telescope [86]. (c) Image of Vega and a nearby faint star, ∼ 200′′ apart, demonstrating a dynamic range exceeding 100dB. (d) High dynamic imaging of star Betelgeuse, with a neighbouring faint star visible at roughly ∼ 170′′ distance. — astro-ph.IM
To deepen our understanding of optical astronomy, we must advance imaging technology to overcome conventional frame-based cameras’ limited dynamic range and temporal resolution. Our Perspective paper examines how neuromorphic cameras can effectively address these challenges.
Drawing inspiration from the human retina, neuromorphic cameras excel in speed and high dynamic range by utilizing asynchronous pixel operation and logarithmic photocurrent conversion, making them highly effective for celestial imaging.
We use 1300 mm terrestrial telescope to demonstrate the neuromorphic camera’s ability to simultaneously capture faint and bright celestial sources while preventing saturation effects.
We illustrate its photometric capabilities through aperture photometry of a star field with faint stars. Detection of the faint gas cloud structure of the Trapezium cluster during a full moon night highlights the camera’s high dynamic range, effectively mitigating static glare from lunar illumination.
Our investigations also include detecting meteorite passing near the Moon and Earth, as well as imaging satellites and anthropogenic debris with exceptionally high temporal resolution using a 200mm telescope. Our observations show the immense potential of neuromorphic cameras in advancing astronomical optical imaging and pushing the boundaries of observational astronomy.
Satyapreet Singh Yadav, Bikram Pradhan, Kenil Rajendrabhai Ajudiya, T. S. Kumar, Nirupam Roy, Andre Van Schaik, Chetan Singh Thakur
Comments: Optical astronomy, Neuromorphic camera, Photometry, Event-based, Asynchronous, High dynamic range, High temporal resolution, Meteorite imaging
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Emerging Technologies (cs.ET); Neural and Evolutionary Computing (cs.NE)
Cite as: arXiv:2503.15883 [astro-ph.IM] (or arXiv:2503.15883v1 [astro-ph.IM] for this version)
https://doi.org/10.48550/arXiv.2503.15883
Focus to learn more
Submission history
From: Satyapreet Singh Yadav
[v1] Thu, 20 Mar 2025 06:11:29 UTC (4,364 KB)
https://arxiv.org/abs/2503.15883
Astrobiology, Astronomy, Stellar Cartography,
keith_cowing.jpg

Keith Cowing
Explorers Club Fellow, ex-NASA Space Station Payload manager/space biologist, Away Teams, Journalist, Lapsed climber, Synaesthete, Na’Vi-Jedi-Freman-Buddhist-mix, ASL, Devon Island and Everest Base Camp veteran, (he/him) 🖖🏻
Hi TTM,

Much of this seems to relate to the DVS side of neuromorphic. It discusses the performance characteristics of the pixels:

"asynchronous pixel operation and logarithmic photocurrent conversion"

"simultaneously capture faint and bright celestial sources"

However, there may be a role for SNN with motion detection:

" detecting meteorite passing near the Moon and Earth, as well as imaging satellites and anthropogenic debris with exceptionally high temporal resolution"

One of the authors, Andre Van Schaik, from WSU, is on our Scientific Advisory Board, and several others are from the Indian Institute of Science.

https://brainchip.com/company/

Dr. André van Schaik​

Dr. André van Schaik is a pioneer of the field of neuromorphic engineering. He received the M.Sc. degree in electrical engineering from the University of Twente, Enschede, The Netherlands, in 1990 and the Ph.D. degree in electrical engineering from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1998.
He has authored more than 300 publications, invented more than 35 patents, and is a founder of four start-up companies: VAST Audio, Personal Audio, Heard Systems, and Optera.
In 1998 he was a postdoctoral research fellow in the Department of Physiology at the University of Sydney, funded by fellowship from the Garnett Passe and Rodney Williams memorial foundation. In 1999 he became a Senior Lecturer in the School of Electrical and Information Engineering at the University of Sydney and promoted to Reader in 2004.
In 2011 he became a research professor at Western Sydney University and leader of the Biomedical Engineering and Neuromorphic Systems (BENS) Research Program in the MARCS Institute for Brain, Behaviour, and development. In 2018, he became the Director of the International Centre of Neuromorphic Systems, a world leading research concentration in the field.
His research focuses on neuromorphic engineering and computational neuroscience
.
 
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