2024 BrainChip Discussion, page-914

BrainChip demonstrates its neuromorphic processor on Microchip’s 32-bit MPU at CES 2024

www.edgeir.com

Neuromorphic computing systems are designed to execute parallel and distributed processing, mimicking the neural structure and functioning of the human brain. BrainChip Akida is an example of such a neuromorphic computing processor, which is designed for edge applications. It operates on an event-based principle, remaining dormant until activated, thereby reducing power consumption.

The integration of Akida with Microchip’s 32-bit microprocessor unit shows the advanced AI capabilities of the neuromorphic computing system when deployed on small embedded hardware. The demonstration holds significant relevance for the embedded systems market, where the combination of AI functionalities with traditional MPUs opens up new avenues for exploring the smart and connected market landscape.

“In this collaborative showcase with BrainChip, we will illustrate how our customers can leverage the advantages of next-generation AI to enable low-power, high-performance machine learning applications on our embedded platforms,” says Rod Drake, corporate vice president of MPU32 and MCU32 business units at Microchip.

BrainChip recently unveiled a strategic partnership with Unigen to introduce an energy-efficient edge AI server powered by the Akida neuromorphic processor. Unigen emphasizes its compact form factor but can still handle complex AI applications at the edge, leveraging the data processing capabilities of Akida.

Read more:

BrainChip and Unigen jointly launch an edge AI server for complex applications

BrainChip provides a glimpse into neuromorphic AI IP-based edge box

Previous Article:
MulticoreWare and Imagination collaborate to boost automotive compute workloads

Next Article:
HPE acquires Juniper Networks in an all-cash deal for $14 billion

Article Topics

Brainchip | CES | microchip | neuromorphic processor