Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications
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Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, has launched its new Gaisler Research Artificial Intelligence NOEL-V (GRAIN) product line. The first GRAIN device to premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from
The first GRAIN device that Frontgrade Gaisler will premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from
Frontgrade Gaisler is designing the entire GRAIN product line to enable more advanced and autonomous space missions, and to enhance the space industry's capabilities in energy-efficient AI. The GR801 SoC will support both commercial and institutional space missions, enabling new applications and meeting strict power and weight constraints.
“Our latest innovation opens new avenues and complements our existing range of proven and reliable processing products,” said
“Our continued collaboration with Frontgrade Gaisler to incorporate Akida IP into space SoCs showcases the importance of having environmentally hardened solutions, already proven to perform in the most extreme conditions,” said
Frontgrade Gaisler announced its new GRAIN product line at the second RISC-V in
About Frontgrade Gaisler
Frontgrade Gaisler, a Frontgrade company, is a leading provider of radiation-hardened microprocessors and IP cores for critical applications, particularly in the space industry. The company’s processors are ideal for any space mission or other high-reliability application due to their reliability, fault tolerance, and radiation tolerance. Frontgrade Gaisler microprocessors can be found all over the solar system, from Mercury to Neptune.
About Frontgrade Technologies
Frontgrade Technologies is a leading provider of high-reliability, radiation-assured solutions for defense, intelligence, commercial, and civil applications. With over 60 years of space flight heritage, Frontgrade offers a complementary and integrated suite of mission-matched electronics, including rad-hard and rad-tolerant components, mission processing subsystems, amplifiers, custom ASICs, motion control systems, waveguides, antennas, and power management solutions.
About
About
The KTH Neurocomputing Systems team (NCS) led by Prof. Jörg Conradt contributes expertise in neuromorphic sensor and computing algorithms for the development of a demonstrator system. Fundamental research in neuromorphic computing at the NCS lab investigates theory, models, and applied implementations of distributed neuronal information processing, to (a) discover key principles by which large networks of neurons operate and (b) implement those in engineered systems to enhance their real world performance.
About
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Frontgrade Technologies
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Source: Frontgrade Gaisler