I trust that most shareholders are aware that on 14...

I trust that most shareholders are aware that on 14 December,2019 Brainchip Engineers jointly presented the AKIDA technology platform withEngineers from TATA Consulting Services (TCS) doing real time gesturerecognition. Most will also remember that supporting the demonstration were a number of visual aids/slides prepared by now Dr. Arijit Mukherjee at TCS whereon he stated that he was looking forward to building a robotic platform based on the AKIDA chip. If you use the below link it will take you to the Robotics group site at TCS and there you will find a list of all current members and then a running list of all papers prepared and published by that group since 2016. It is a very long list that does not run in perfect date order but I have extracted the following papers which confirm that from 2019 into 2020 Dr. Arijit Mukerjee continued to work on this use of neuromorphic computing.

Following this list I have also included a link to TATA Elxsiwhich seems to take over this work and you should open the link provided as itis a much easier format to follow however that which it will allow me to copyhas been reproduced and I suggest that as you work your way through the listyou will be taken by how what they have moved forward to work on perfectlyaligns with all of the recent presentations and videos put out by Brainchip.

Is TATA India’s largest company still working with Brainchip andis it one of its EAP customers I will let you decide???

My opinion only DYOR
FF.

AKIDA Ballista (to Bollywood and back.)

TATA CONSULTING SERVICES – BuildingNext Generation Smart Machines

https://www.tcs.com/building-next-generation-smart-machines
*************************************************************************************

Human Gesture Recognition using Spiking Input on Akida NeuromorphicPlatform

Neural Information Processing Systems

12/10/2019

Sounak Dey, Arijit Mukherjee,

****************************************************************************

Application of Spiking Neural Networks for Action Recognitionfrom Radar Data

The International Joint Conference on Neural Networks

21/03/2020

DIGHANCHAL BANERJEE, Sounak Dey,Smriti Rani, Tapas Chakravarty,Arijit Mukherjee, Arijit Chowdhury, ARUN M GEORGE,

****************************************************************************

A Reservoir-based Convolutional Spiking Neural Network forGesture Recognition from DVS Input

The International Joint Conference on Neural Networks

21/03/2020

Sounak Dey, ARUN M GEORGE, DIGHANCHAL BANERJEE, ArijitMukherjee,

**************************************************************************

Towards Spike based Human Gesture Recognition on AkidaNeuromorphic Platform

International Conference on Distributed Computing and Networking

24/12/2019

Sounak Dey, DIGHANCHAL BANERJEE, Arijit Mukherjee, ARUN M GEORGE,

https://tataelxsi.com/storage/insights/December2020/c2IBlwKiKdz2KfBnSJOj.pdf

Scope

• Porting real time AI applications on

MCU Platform

• Optimizing AI algorithms for porting

on low memory footprint devices

• AI based Gesture detection, User

Posture recognition, Sound

Analytics, Expression detection,

Footstep detection etc.

• Optimization and simplification of AI

inference engines retaining the

accuracy

• Creating a demo setup to showcase

the capabilities

AI ENGINE ON EDGE PLATFORM – SMART HOME APPLICATION

Enabling intelligence on an edge Microprocessor to assist cloudbased AI engine

Challenges

• Real time response

• Data set collection, cleansing, and

segregation

• Optimization of algorithm to run

on an embedded system

Tools & Framework

• TensorFlow, TensorRT

• Keras

Scope

•Porting Ultra light DNN algorithm on a microcontroller

•Analysis of Conveyer belt operation, robotic gear movement

•Using rotary vibration history data for predicting abnormal and normal gearoperations

•Implementing Predict Failure and triggering Schedule maintenance

EDGEAI FOR PREDICTIVE ANALYSIS - INDUSTRIAL AUTOMATION

EnablingAnalytics at the Edge for Wafer Production Process Challenges

•Motor vibration analysis under different load conditions

•Anomaly detection in less than 0.10 sec Tools & Framework

•TensorFlow, TensorRT

•Keras, PyTorch