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BrainChip, Frontgrade Gaisler forge alliance on space-grade AI-enabled microprocessors

Categories Edge Computing News  |  Hardware
BrainChip, Frontgrade Gaisler forge alliance on space-grade AI-enabled microprocessors

BrainChip Holdings, a neuromorphic computing device provider, and Frontgrade Gaisler, a system-on-chip solutions provider, have joined forces to explore the integration of BrainChip’s Akida neuromorphic processor into Frontgrade Gaisler’s microprocessors.

Both companies note that the collaboration seeks to develop the world’s first space-grade system-on-chip (SoC) with embedded artificial intelligence (AI) capabilities.

Sandi Habinc, general manager at Frontgrade Gaisler, expresses optimism about the potential impact of adding AI capabilities to their microprocessors. He notes that the advancement could establish a new standard for modern space-grade computing devices, potentially improving mission efficiency and expanding the possibilities of space exploration.

The upcoming microprocessors will incorporate BrainChip’s AI processing capabilities, aiming to advance computing resources available for space-borne systems. Notably, the inclusion of the Akida neuromorphic processor is expected to offer enhanced power efficiency and inference performance while remaining compatible with existing Convolutional Neural Networks (CNNs).

“Ensuring the availability, accessibility and reliability of technology and devices utilized as part of spacecraft platforms and payloads is of utmost importance for the Agency and its state-of-the-art space missions,” says Ali Zadeh, head of the data systems and microelectronics division at the European Space Agency.

“Integrating neuromorphic capabilities in a space-grade SoC represents an exciting technological avenue for the next generation of space applications. A collaboration between Frontgrade Gaisler and BrainChip to utilize such advanced technologies for space is therefore very encouraging.”

In the space industry, there’s a growing interest in neuromorphic AI technology to address challenges related to latency and power consumption. Integrating AI and neuromorphic computing into space technology aims to bolster deployments requiring autonomy and adaptability, allowing devices to learn and adapt in environments with constantly changing variables.

Sean Hehir, CEO of BrainChip, reaffirms the company’s commitment to expanding AI technology into various environments, including space.

“From everywhere on earth, to the edge of space, we are committed to helping develop devices that can provide the low cost, efficiency and on-sensor intelligence required in the most extreme conditions,” Hehir adds.

“Those participating in this latest leg of the Space Race will find a tremendous advantage in leveraging neuromorphic technology to overcome the challenges that would otherwise keep their missions grounded, or at least, limited.”

Read more:

BrainChip and Unigen jointly launch an edge AI server for complex applications

BrainChip provides a glimpse into neuromorphic AI IP-based edge box

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