As the world continues to evolve, we look to AI for solutions and innovation for the most complex challenges facing humanity. Neuromorphic computing at the edge can reshape modern society as we know it for the better. This is our mission.

A short highlight of BrainChip’s AI Field Day Presentation.

Anil Mankar, Co-Founder and Chief Development Officer, introduces the BrainChip Akida ultra low power edge AI solution. He begins with a discussion of the event-based architecture of the Akida technology, and how it addresses the challenges of edge computing. The Neuromorphic design enables distributed computation and event-based processing, communication, and learning. Akida utilizes low-bit precision to reduce memory and bandwidth requirements yet still delivers accuracy in leading models.

Anil Mankar, Co-Founder and Chief Development Officer, provides a tour of the BrainChip Akida NPU architecture and IP solution. He also discusses the Akida software development environment (ADE) and training workflow before turning to a presentation of the first Akida based products. The AKD1000 NSoC is a chip that incorporates an Akida Neuron fabric along with all necessary supporting interfaces and an M-Class CPU. The chip is packaged in an M.2 PCIe form factor evaluation board and enables efficient processing of various sensor modalities, as demonstrated later in this session.

Anil Mankar, Co-Founder and Chief Development Officer, presents the various neural networks optimized to operate on the BrainChip Akida processor. He begins with auditory classification, discussing keyword spotting in an always on microphone. He then presents visual processing, using person detection as an example. Next he discusses olfactory detection using the Fox 3000 olfactory data set and detecting volatile organic compounds. The next sense is taste classification using an “e-tongue”. Finally he presents somatosensory classification with an example of electric motor ball bearing fault diagnosis.

Anil Mankar, Co-Founder and Chief Development Officer, demonstrates audio and visual classification with the BrainChip Akida development board.

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BrainChip provides a Market Update on October 20, 2020.

09 Sep 2020 – BrainChip Holdings Limited (ASX:BRN) President & CEO Louis DiNardo provides an update on collaboration and partnerships for the company’s AI chip, Akida.

BrainChip’s Akida™ 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 that include continuous learning and inference.

This video demonstrates the power of incremental learning on Akida with one-shot learning examples

BrainChip Holdings (ASX:BRN BrainChip Holdings (ASX:BRN) CEO Lou DiNardo talks about its Akida integrated circuit, its advantages in event-based convolutional (e-conv) networks, applications and its move to wafer production and first engineering samples by Q3 2020.

In this demonstration, the BrainChip Engineering team shows human gesture recognition using spiking input on Akida™ neuromorphic platform – NeurIPS Vancouver 2019

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BrainChip provides a Market Update on March 25, 2020. This update precedes the Company’s lodging of the March quarter 4C as the global impact of the coronavirus has led to numerous investor enquires.

This presentation by BrainChip COO Roger Levinson includes BrainChip’s Akida™ that brings highly efficient AI processing capabilities to edge devices such as motion sensors, medical devices, automotive systems, or drones.

In this interview, BrainChip COO, Roger Levinson, shares with EDA Cafe how BrainChip is taking AI to the edge.

The Akida Development Environment running the full mobilenet V1 on Imagenet 1000 classifiers

This video demonstrates how the Akida event domain neural processor can learn and respond to new hand gestures utilizing the Samsung DVS camera as input. The entire neural processing solution consumes less than 1mW.