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Artificial intelligence company BrainChip (ASX:BRN), has filed a new patent in the United States to further strengthen and protect its unique intellectual property.

The patent was filed with the US Patent and Trademark Office (USPTO) and is the company’s 10th patent that it has filed or been granted to protect its artificial intelligence (AI) technology, which includes pattern recognition and neural processor acceleration.

BrainChip’s President and CEO Lou DiNardo says that protecting its IP is a key part of the company’s strategy and that the future success of its technology and products is in large part due to the ability to maintain its proprietary nature.

BrainChip’s technology leverages neuromorphic computing and its AkidaTM Neuromorphic System-on-Chip (NSoC), now in development, relies on its unique proprietary neuromorphic computing abilities.

Neuromorphic computing is inspired by the biology of the human brain: information is sent via spikes and processed by neurons that are interconnected to replicate synapses, much like in the human brain. Neuromorphic chips could mean faster and cheaper AI in the future.

“We have made great progress in the development of the Akida NSoC,” Mr DiNardo said.

“Our team have created many new innovations in the field of neuromorphic computing and we are committed to protecting these valuable inventions.”

The patent seeks to protect the systems’ architecture and its state-of-the-art reconfigurable, low-latency, low-power feature set.

The patent application has multiple “claim sets” that detail the technical descriptions across multiple Akida NSoC elements.

BrainChip intends to continue to expand its patent portfolio with the addition of further applications in the US and internationally to protect its methods and systems in neuromorphic computer processing.


This content is produced by Star Investing in commercial partnership with BrainChip. This article does not constitute financial product advice. You should consider obtaining independent advice before making any financial decisions.