Just back on to NASA for a mo.
Akida was around in the Radneuro project with other processors and this guy was also part of it. Now he's just given a NASA talk involving neuromorphic and wonder if we are still in the mix as part of the upcoming future projects especially now with our acceptance into the ESA sphere as well.
Tuesday, July 16 at 11:00AM Pacific Daylight Time
www.nasa.gov
2024 Summer Seminar Series
The 2024 series consists of six seminars highlighting Ames Research Center’s diverse capabilities and expertise in multiple subject areas such as lunar science and missions, human space exploration, asteroid threats, and computing.
Michael Lowry
Neuromorphic Computing: Mapping Neuroscience to Silicon and Prospects for Space Missions
Tuesday, August 6 at 11:00AM Pacific Daylight Time
Abstract:
Neuromorphic computing maps neuroscience to silicon. The human brain performs exascale computing while consuming only twenty watts of power and embodies the only general purpose intelligence known to date in the universe. The individual computing elements – neurons – are inherently noisy, yet the overall computation is coherent and resilient. These properties could be enabling for future space and aviation missions, whose avionics will need to provide higher levels of autonomous capabilities even in the harsh environment of space. This talk describes both the history and recent results in neuromorphic computing. Exploratory small spacecraft missions have demonstrated neuromorphic edge computing in low earth orbit.
Technology demonstration missions in harsher radiation environments are being planned, where neuromorphic co-processors could provide a force multiplier to the general-purpose high-performance space computer available by 2026. The talk concludes with a roadmap to space supercomputing based on heterogeneous computing;
incorporating general purpose CPU, GPU, and neuromorphic cores.
Biography:
Dr. Lowry serves as NASA’s Chief Scientist for Reliable Software Engineering. He became interested in Neuromorphic computing as a means of radically improving compute power and energy efficiency for NASA’s embedded aerospace missions.
He has recently served as PI for the RadNeuro (Radiation-tolerant Neuromorphic Computing) project – to close the gap between terrestrial Neuromorphic Computing capabilities and embedded space computing.
Some previous posts on the Radneuro and Brainstack projects.
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