BrainChip Gets New Patent for Artificial Intelligence Dynamic Neural Network

BrainChip, a provider of ultra-low power, high performance edge AI technology, has been awarded a new patent for dynamic neural function libraries, a key component of its AI processing chip Akida, the company said.

United States Patent number 10,410,117 addresses a dynamic neural network within an AI device. During a learning process, values are generated and stored in the synaptic registers of the AI device to generate a training model. Training models are themselves stored in the dynamic neural function library of the AI device, and the function library can then be used to train another device.

The innovation was credited to Peter Van der Made, BrainChip founder and CTO, who has been at the forefront of computer innovation for 40 years. Van der Made is the inventor of a computer immune system at cybersecurity developer vCIS Technology, where he served as CTO and later Chief Scientist when it was acquired by Internet Security Systems and subsequently IBM. Previously, he designed a high resolution, high-speed color Graphics Accelerator Chip for IBM PC graphics. Van der Made is the author of the book Higher Intelligence, which explains the architecture of the brain from a computer science perspective.

BrainChip´s intellectual portfolio consists of 11 patents issued or in process, including a foundational patent in the area of Spiking Neural Networks (SNN) that has been cited by companies such as IBM, Qualcomm, Samsung, and Hewlett Packard.

With the proliferation of intelligence into edge devices, there is a new and growing need for fast, small, and power-efficient neural network processors. By performing neural processing and memory accesses on the edge, Akida vastly reduces the computing resources required of the host CPU.

BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. Additional information is available at