BrainChip September 2018 Quarter Update 1 Brainchip OCTOBER 2017 - - PowerPoint PPT Presentation

brainchip september 2018 quarter update
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BrainChip September 2018 Quarter Update 1 Brainchip OCTOBER 2017 - - PowerPoint PPT Presentation

BrainChip September 2018 Quarter Update 1 Brainchip OCTOBER 2017 | Disclaimer This presentation is not a prospectus nor an offer for securities in any jurisdiction nor a securities recommendation. The information in this presentation is an


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BrainChip September 2018 Quarter Update

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Disclaimer

This presentation is not a prospectus nor an offer for securities in any jurisdiction nor a securities recommendation. The information in this presentation is an overview and does not contain all information necessary for investment decisions. In making investment decisions in connection with any acquisition of securities, investors should rely on their own examination of the assets and consult their own legal, business and/or financial advisers. The information contained in this presentation has been prepared in good faith by BrainChip Holdings Ltd, however no representation or warranty expressed or implied is made as to the accuracy, correctness, completeness or adequacy of any statements, estimates, opinions or other information contained in this presentation. To the maximum extent permitted by law, BrainChip Holdings Ltd, its directors, officers, employees and agents disclaim liability for any loss or damage which may be suffered by any person through the use or reliance on anything contained in or omitted in this presentation. Certain information in this presentation refers to the intentions of BrainChip Holdings Ltd, but these are not intended to be forecasts, forward looking statements or statements about future matters for the purposes of the corporations act or any other applicable law. The occurrence of events in the future are subject to risks, uncertainties and other factors that may cause BrainChip’s actual results, performance or achievements to differ from those referred to in this presentation. Accordingly, BrainChip Holdings Ltd, its directors, officers, employees and agents do not give any assurance or guarantee that the

  • ccurrence of the events referred to in the presentation will actually occur as contemplated.
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Announcement of AkidaTM Neuromorphic System-on-Chip (NSOC) Architecture Partnership with Telesikring to deliver AI-powered Video Analytics to Police and Security Customers across Scandinavia Acquistion of License to Cybersecurity technology from Democritus University of Thrace, Greece Gaming Partners International (GPI) Demonstration of Integrated Vision System at the G2E gamining conference in Las Vegas, Nevada

September 2018 Quarter Update

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The Company finished the September 2018 quarter with a cash balance of US$9.995M. Cash receipts for the quarter were US$246,000. Headcount at the end of the quarter was 35 fulltime employees and two fulltime contractors in sales and marketing. In the June quarter the Company invoiced SNTech US$609,135 based

  • n an existing Licencing and Development Agreement. The Company

has initiated a full audit of SNTech’s books, records and source code. The results of the audit are expected in November 2018.

September 2018 Quarter Cash Receipts

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The Company expects an increase in cash receipts from OEMs, System Integrators and other partners in the December quarter of 2018. The Company’s sales pipeline continues to grow and now includes

  • ver 500 leads, 105 active accounts, 55 qualified opportunities and 17

design wins. The Company currently supports approximately 21 committed or active trials for which most are covered by Non-Disclosure Agreements.

December 2018 Quarter Outlook

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Automotive

Automobile Manufactures Third Party Vendors

Civil Surveillance

Original Equipment Manufacturers End-Users and System Integrators

Gaming Neuromorphic computing for multiple markets

Vision systems Cybersecurity Financial Technolog Agricultural Technology

BrainChip Application Update

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Company will provide investors insight with regard to activity in the following markets:

Industrial – Internet-of-Things (IoT), Agricultural Technology, Financial Technology, Cybersecurity, Robotics, Process Control and Manufacturing Automation, , Surveillance, Gaming Automotive – ADAS and AV Consumer – Internet-of-Things (IoT), Cell Phones, Personal Computing and Home Security

Akida Market Penetration

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BrainChip and the AI Timeline

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Source: Tractica Deep Learning Chipsets, Q2 2018

10,000 20,000 30,000 40,000 50,000 60,000 70,000 2018 2019 2020 2021 2022 2023 2024 2025

$M

AI Acceleration Chipset Forecast

Training Inference General Purpose

Semiconductor Industry Disruption

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Neural Network Comparison

Convolutional Neural Networks Spiking Neural Networks

Characteristic Result Characteristic Result Computational functions Matrix Multiplication, ReLU, Pooling, FC layers Math intensive, high power, custom acceleration blocks Threshold logic, connection reinforcement Math-light, low power, standard logic Training Backpropagation off- chip Requires large pre- labeled datasets, long and expensive training periods Feed-Forward, on or

  • ff-chip

Short training cycles, continuous learning

Math intensive cloud compute Low power edge deployments

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Studio

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BrainChip Studio Development History

Civil surveillance

French Homeland Security (DGSI) French National Police (Paris, Toulouse)

Custom software deployments

Machine vision

SAFRAN augmented reality

Gaming

Mohegan Sun Las Vegas Trials

10 years of development

Mass-Market Product

Real-time card and chip detection Forensics and live analytics Object recognition

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Challenges Facing Forensic Video Analysis

Exabytes of previously recorded video Low resolution and noisy environments Prohibitively expensive to “Classify” all video using deep learning

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Fo Forensic Object Se Sear arch Fa Face Detection and and Cl Classificati tion

Highly effective

  • bject

recognition technology in low-resolution environments Automatic face detection and extraction Find suspects across hundreds of videos Uses existing low-fidelity infrastructure for live or recorded forensic search One-Shot learning to rapidly search for patterns/suspects Force multiplier: Single individual can do the scanning of many Facial classification of top matches Targeting the civil defense/police marketplace

BrainChip Studio Features and Benefits

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Technology – BCS Learn

BCS Learn

Visual target to identify BrainChip recognition model Recognition of patterns with similar visual features LEARN RECOGNIZE

It’s all about shape recognition, not biometrics and key points!

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BrainChip Accelerator Benefits

Improved probability of object detection

Fast video scaling

Faster time to results

More channels, faster

Lower total cost of ownership

Lower initial cost, reduced power, and longer MTBF

3 Scales, 1 Model 3 Scales, 4 Models 6 Scales, 4 Models

BrainChip Accelerator FPS Increase Compared to Software Only 6x 5x 6x

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World’s first Neuromorphic System on Chip (NSoC)

Efficient neuron model Innovative training methodologies

Everything required for embedded/edge applications

On-chip processor Data->spike conversion

Scalable for Server/Cloud

BrainChip AkidaTM NSoC

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Akida NSoC Architecture

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Akida Neuron Fabric

Most efficient spiking neural network implementation

1.2M Neurons 10B Synapses

Able to replicate most CNN functionality

Convolution Pooling Fully connected

Right-Sized for embedded applications 10 classifiers (CIFAR 10)

11 Layers 517K Neurons 616M Synapses

Meets demanding performance criteria

1,100 fps CIFAR-10 82% accuracy

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Efficient Neuromorphic Computing Fabric

Relative Implementation Efficiency (Neurons and Synapses) 300X 3X

Fixed neuron model

Right-sized Synapses minimized

  • n-chip RAM

6MB compared to 30-50MB

Programmable training and firing thresholds

Flexible neural processor cores

Highly optimized to perform convolutions Also fully connected, pooling

Efficient connectivity

Global spike bus connects all neural processors Multi-chip expandable to 1.2 Billion neurons

Keys to efficiency

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Neuromorphic Computing Benefits

Frames per Second/watt Top-1 Accuracy

Cifar-10 Intel Myriad 2

79% 18 fps/w ~$10

Cifar-10 BrainChip Akida

1.4K fps/w 82% ~$10

Cifar-10 IBM TrueNorth

83% 6K fps/w ~$1,000

Cifar-10 Xilinx ZC709

80% 6K fps/w ~$1,000

Tremendous throughput with low power

Math-lite, no MACs

No DRAM access for weights Comparable accuracy

Optimized synapses and neurons ensures precision

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Akida NSoC Applications

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Akida Development Environment

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World’s first NSoC

Low power and footprint of neuromorphic computing Highest performance /w/$

Complete solution for embedded/edge applications – but scalable for cloud/server usage Sampling 2H 2019

Akida Introduction

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Akida Architecture Press Coverage

EE Times (Rick Merritt)

https:/https://www.eetimes.com/document.asp?doc_id=1333677/www.ee times.com/document.asp?doc_id=1333677

Electronics Weekly (David Manners)

https://www.electronicsweekly.com/news/business/brainchip-sets-date- soc-2018-09/

Markt & Technik (Heinz Arnold)

https://www.elektroniknet.de/markt-technik/halbleiter/ki-prozessoren- arbeiten-erstmals-gehirnaehnlich-157555.html

Electronic Design (Bill Wong)

https://www.electronicdesign.com/embedded-revolution/snn-news- brainchip-unveils-akida-architecture

Electronicnewstv (Alix Paultre)

https://www.youtube.com/watch?v=Tt6emRbQLj0

Electronik Praxis (Sebastian Gerstl)

https://www.elektronikpraxis.vogel.de/ki-im-embedded-einsatz-erster- neuromorpher-soc-baustein-angekuendigt-a-751920/?cmp=beleg-mail

Sources Security https://www.sourcesecurity.com/news/brainchip-akida- development-environment-neuromorphic-system-on-chip-co- 1524051571-ga-npr.1532608634.html CiE Magazine (Amy Wallington)

http://www.cieonline.co.uk/brainchip-announces-the-akida-architecture-a- neuromorphic-system-on-chip

All Electronics

http://www.dpaonthenet.net/article/159841/Putting-artificial-intelligence- at-the-edge-and-enterprise.aspx

L'embarque

http://www.lembarque.com/brainchip-prevoit-pour-2019-une-puce- systeme-neuromorphique-taillee-pour-lembarque_007839

Design, Products & Applications

http://www.dpaonthenet.net/article/159841/Putting-artificial-intelligence- at-the-edge-and-enterprise.aspx

Embedded Control Europe

http://www.embedded-control-europe.com/article/6503/brainchip-neural- network-acceleration-socs-puts-artificial-intelligence-at-the-edge-and- enterprise

Design and Reuse

https://www.design-reuse.com/news/44711/brainchip-akida- neuromorphic-soc.html

New Electronics

http://www.newelectronics.co.uk/electronics-news/us-company-unveils- first-commercial-spiking-neural-network-architecture/182822/

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Thank You