BRN Discussion Ongoing

JoMo68

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Nice. But perhaps next time just keep it to one sentence and a link.
That’s pretty disrespectful!
 
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IMG_0176.jpeg
 
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Guzzi62

Regular
Two 4th year B.Sc. students at Cal Poly, SLO - Kayla Del Rosario and Gibson Puckett - worked on their summer intern project, which they titled “Developing a CubeSat Payload Interface Board for Neuromorphic Processing and Distributed Computing”, at the NASA Ames Research Center in Mountain View, CA with Axient, a company headquartered in Huntsville, AL that describes itself as a “key player in the defense, aerospace and cyberspace markets.” (https://axientcorp.com/about-us/).
According to his LinkedIn profile, Gibson Puckett has been an intern with Axient since June 2023.

One of the presentation slides of an August talk about their joint summer intern project (the platform they developed is “intended for weather balloon suborbital testing and LEO technology demonstration”), shows the Akida PCIe Board as an example for a neuromorphic co-processor:


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Excellent, thank you.
 
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Slade

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That's not nice of YOU! If you do not want to read long posts, ignore them and scroll on. I can't remember having seen you thanking somebody for the work put into such investigation.
You must be new here.
 
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Aaron

Emerged

Meta is making a robot hand that can ‘feel’ touch​


 
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Slade

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The way I present my research is none of your business. Just scroll past my posts or put me on ignore if you don't want to read it.
I’m only offering advice that I think would improve the site.
 
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Slade

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Guzzi62

Regular
Sep 30, 2024
In his TEDx talk "Energy-efficient Neuromorphic Computing", Jörg Conradt delves into the intriguing question of how our brains process information, i.e., how we interpret what we see, hear, smell, and touch, and how these processes differ from how computers operate today. Jörg Conradt, an Associate Professor in the School of Electrical Engineering and Computer Science at KTH, is a leading researcher in neuro-inspired computation and systems. With a PhD from ETH Zurich, Jörg is deeply fascinated with how brains process sensor information and form a consolidated understanding of the world around us. Before KTH, he was a Junior Professor at Technische Universität München, where he co-founded the Elite Master Program in NeuroEngineering. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

 
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uiux

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uiux

Regular
The way I present my research is none of your business. Just scroll past my posts or put me on ignore if you don't want to read it.

Keep it up
 
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Tothemoon24

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IMG_9892.jpeg





Neuromorphic Computing to Enable more Energy-Efficient, Adaptable, Faster and more Intelligent Space Operations and Exploration

BrainChip, a leading provider of ultra-low power, event-based neuromorphic AI solutions, had its Akida™ neuromorphic chip launched into Low Earth Orbit (LEO) aboard the Optimus-1 spacecraft built by Space Machines Company. BrainChip's Akida chip is integrated into the ANT61 Brain™ computer, which serves as the primary intelligent control for repair and maintenance robots on the Optimus-1.

Optimus-1 is Australia’s largest-ever private satellite and the first Australian commercial satellite which was planned to provide existing space infrastructure and satellites with life-extension services, inspections and assistance on-orbit. Sadly communication to the satellite was lost in May this year, 2 months after the launch. Having demonstrated what a small, determined Australian team can achieve through relentless perseverance, they immediately started work on Optimus-2 with support from the Australian Space Agency with a planned launch date of 2026.

Neuromorphic chips like Akida are inherently more tolerant to hardware failures, a key consideration for the harsh conditions of space. Akida's unique on-chip learning capabilities also enable the ANT61 Brain to continuously ‘learn’ and adapt, in the space environment where it has to manipulate objects.

ANT61 develops autonomous robots to avoid putting human lives at risk. They use AI-based control systems that enable robots to perform various installation tasks in unpredictable environments where remote control is very difficult.

Neuromorphic computing, which is inspired by the synapses and architecture of the human brain, offers a much more efficient approach compared to traditional processors. BrainChip's Akida chip integrates this neuromorphic technology, delivering high performance at extremely low power - a critical requirement for space applications. The neuromorphic approach is mostly investigated at two levels (i) algorithmic (https://lnkd.in/dH4c5F3t) and (ii) hardware.

Some application areas of neuromorphic processors in space:
· Image recognition (Earth observation)
· Multispectral & hyperspectral image processing (Earth observation)
· Imaging radar (Synthetic Aperture Radar)
· Interference detection and correction (Satcom)
· Navigation

Neuromorphic computing is a "spin-in" from the R&D and commercial sectors into the space industry. As space activities continue to expand, the use of energy-efficient, adaptable neuromorphic AI will be crucial to enabling faster, more intelligent space operations and exploration.

Image Credit: Space Machines Company - A render of Optimus in space
 
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manny100

Regular
The beauty of PICO's low/zero code environment is that it only takes one smart or even not so smart 'cookie' to come up with something new that everyone just has to have.
It's only a matter of time.
 
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Gemmax

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Slade

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JoMo68

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