BrainChip and Gaisler Collaborate on Space AI

The collaboration between BrainChip and Frontgrade Gaisler is poised to revolutionize space-grade computing with the introduction of a first-of-its-kind system-on-chip (SoC) embedded with artificial intelligence (AI) capabilities. BrainChip announced that the integration of Akida into the system would significantly enhance power efficiency and inference performance for soft-AI applications, all while ensuring compatibility with existing Convolutional Neural Networks (CNNs).

While the exact timeline for the integration was not disclosed by the companies, the potential impact of this development is substantial. Frontgrade Gaisler, known for its processors and SoCs based on the SPARC and RISC-V architectures, could soon offer this cutting-edge capability to its customers. The addition of AI capabilities to their microprocessors has the potential to set a new standard for modern space-grade computing devices, according to Sandi Habinc, the general manager at Frontgrade Gaisler.

Speaking on the significance of this collaboration, Habinc stated, "The success of this joint effort could empower organizations to leverage AI technology to enhance mission efficiency, ultimately advancing the frontiers of what is possible in space." This partnership holds the promise of unlocking new possibilities for space exploration and satellite technology, with AI playing a pivotal role in driving innovation and efficiency.

Ali Zadeh, head of microelectronics at the European Space Agency, also expressed enthusiasm for the integration of neuromorphic capabilities in a space-grade SoC. Zadeh highlighted the potential of this technological advancement in shaping the future of space applications, emphasizing the exciting prospects that lie ahead for the next generation of space exploration.

With BrainChip's expertise in AI technology and Frontgrade Gaisler's reputation for delivering high-performance processors, the collaboration between these two companies has the potential to reshape the landscape of space-grade computing. By combining their strengths and resources, they aim to push the boundaries of what is achievable in space technology, paving the way for a new era of innovation and efficiency in the aerospace industry.