2020 BRN Discussion, page-20217

BrainChip Chief Development Officer Presents at the Edge AI and Vision Alliance Spotlight Webinar
Leveraging Power-Efficient Edge AI Applications through Neuromorphic Processing

December 09, 2020 04:50 PM Eastern Standard Time
SAN FRANCISCO,--(BUSINESS WIRE)--BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, announced that the company’s Chief Development Officer Anil Mankar will present about using neuromorphic processing to take AI to the Edge in a free 30-minute webinar organized by the Edge AI and Vision Alliance December 17 at 9 a.m. PST.

“Power-efficient Edge AI Applications through Neuromorphic Processing”

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Mankar has spent 30 years developing products in the semiconductor industry, including in management leadership positions at Western Digital, Conexant Systems and Mindspeed Technologies. His presentation, “Power-efficient Edge AI Applications through Neuromorphic Processing,” will describe the advantages of processing information in the event-domain including an update on the AKD1000, BrainChip’s first Neural network SoC (NSoC).

“I look forward to presenting how the AKD1000 is bringing artificial intelligence to the edge in a way that existing technologies are not capable,” said Mankar. “Many Edge-AI processors take advantage of the spatial sparsity in neural network models to eliminate computations and save power. Neuromorphic processors achieve further savings by performing event-based computation, which exploits the temporal sparsity inherent in data generated by audio, vision, olfactory, lidar and other edge sensors.”

The Akida Neural Processor technology, which is implemented in the Neuromorphic System-on-Chip (NSoC), is 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. The Akida NSoC represents a revolutionary new breed of Neural Processing computing devices for Edge AI devices and systems. Comparisons to leading DNN accelerator devices show significantly better images/second/watt running industry standard benchmarks with MobileNet, MobileNet-SSD and Key Word Spotting, while maintaining excellent accuracy.

The Akida NSoC is designed for use as a stand-alone embedded accelerator or as a co-processor. It includes interfaces for ADAS sensors, audio sensors, and other IoT sensors. It also has high-speed data interfaces such as PCI-Express, USB, 12S and 13C. An on-chip MPU is used to control the configuration of the Akida Neuron Fabric as well as off-chip communication of metadata. The Akida NSoC represents a scalable solution utilizing a built-in serial chip to chip connectivity to allow up to 64 devices to be arrayed for a single solution.

Interested parties can visit the event page to register for this free webinar. Additional information is available by emailing [email protected].