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