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. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include local training, learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing, BrainChip has pioneered a spiking neural network, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a data center. Akida is designed to provide a complete ultra-low power and fast AI Edge Network for vision, audio, olfactory and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can reduce the large carbon footprint data centers.

Information Technology

BrainChip

Sean Hehir

Evadine Romero

M Anthony Lewis

Alf Kuchenbuch

Ken Scarince

Anil Mankar

The Engineering Team at BrainChip is responsible for the design, verification, and implementation of the Akida™ neural network processor and its associated software. This diverse team collaborates on hardware and software development, ensuring the processor's performance, reliability, and efficiency for edge AI applications. By leveraging expertise in ASIC verification, software engineering, and machine learning, the team drives innovation to enhance the capabilities of BrainChip's cutting-edge technology in analyzing sensor inputs at the edge.

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Engineering Team

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Team members

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Engineering Team

About

Team members

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