BrainChip September 2018 Quarter Update. Brainchip OCTOBER

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1 BrainChip September 2018 Quarter Update Brainchip OCTOBER

2 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 occurrence of the events referred to in the presentation will actually occur as contemplated. Brainchip OCTOBER

3 September 2018 Quarter Update Announcement of Akida TM 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 Brainchip OCTOBER

4 September 2018 Quarter Cash Receipts 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 on 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 Brainchip OCTOBER

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

6 BrainChip Application Update 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 OCTOBER

7 Akida Market Penetration 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 Brainchip OCTOBER

8 BrainChip and the AI Timeline Brainchip OCTOBER

9 Semiconductor Industry Disruption 70,000 AI Acceleration Chipset Forecast 60,000 50,000 Training Inference General Purpose $M 40,000 30,000 20,000 10, Brainchip OCTOBER Source: Tractica Deep Learning Chipsets, Q2 2018

10 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 offchip Requires large prelabeled datasets, long and expensive training periods Feed-Forward, on or off-chip Short training cycles, continuous learning Math intensive cloud compute Low power edge deployments Brainchip OCTOBER

11 Studio Brainchip OCTOBER

12 BrainChip Studio Development History Custom software deployments 10 years of development Gaming Mohegan Sun Las Vegas Trials Real-time card and chip detection Civil surveillance French Homeland Security (DGSI) French National Police (Paris, Toulouse) Forensics and live analytics Machine vision SAFRAN augmented reality Object recognition Mass-Market Product Brainchip OCTOBER

13 Challenges Facing Forensic Video Analysis Exabytes of previously recorded video Low resolution and noisy environments Prohibitively expensive to Classify all video using deep learning Brainchip OCTOBER

14 BrainChip Studio Features and Benefits Forensic Object Search Face Detection and Classification One-Shot learning to rapidly search for patterns/suspects Automatic face detection and extraction Targeting the civil defense/police marketplace Highly effective object recognition technology in low-resolution environments Facial classification of top matches Force multiplier: Single individual can do the scanning of many Find suspects across hundreds of videos Uses existing low-fidelity infrastructure for live or recorded forensic search Brainchip OCTOBER

15 Technology BCS Learn BCS Learn It s all about shape recognition, not biometrics and key points! Visual target to identify LEARN BrainChip recognition model RECOGNIZE Recognition of patterns with similar visual features Brainchip OCTOBER

16 BrainChip Accelerator Benefits BrainChip Accelerator FPS Increase Compared to Software Only 5x 6x 6x 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 OCTOBER

17 Brainchip OCTOBER

18 BrainChip Akida TM NSoC 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 OCTOBER

19 Akida NSoC Architecture Brainchip OCTOBER

20 Akida Neuron Fabric Most efficient spiking neural network implementation 1.2M Neurons 10B Synapses Able to replicate most CNN functionality Convolution Pooling Fully connected Meets demanding performance criteria 1,100 fps CIFAR-10 82% accuracy Right-Sized for embedded applications 10 classifiers (CIFAR 10) 11 Layers 517K Neurons 616M Synapses Brainchip OCTOBER

21 Efficient Neuromorphic Computing Fabric Relative Implementation Efficiency (Neurons and Synapses) 3X 300X Keys to efficiency Fixed neuron model Right-sized Synapses minimized on-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 Brainchip OCTOBER

22 Neuromorphic Computing Benefits Top-1 Accuracy 79% Cifar-10 Intel Myriad 2 18 fps/w ~$10 Cifar-10 BrainChip Akida 82% ~$10 83% 1.4K fps/w 80% Cifar-10 IBM TrueNorth 6K fps/w Cifar-10 Xilinx ZC709 6K fps/w ~$1,000 ~$1,000 Tremendous throughput with low power Math-lite, no MACs No DRAM access for weights Comparable accuracy Optimized synapses and neurons ensures precision Frames per Second/watt Brainchip OCTOBER

23 Akida NSoC Applications Brainchip OCTOBER

24 Akida Development Environment Brainchip OCTOBER

25 Akida Introduction 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 Brainchip OCTOBER

26 Akida Architecture Press Coverage EE Times (Rick Merritt) times.com/document.asp?doc_id= Electronics Weekly (David Manners) Markt & Technik (Heinz Arnold) Electronic Design (Bill Wong) CiE Magazine (Amy Wallington) All Electronics L'embarque Design, Products & Applications Electronicnewstv (Alix Paultre) Embedded Control Europe Design and Reuse Electronik Praxis (Sebastian Gerstl) New Electronics Sources Security Brainchip development-environment-neuromorphic-system-on-chip-co- OCTOBER ga-npr html

27 Thank You Brainchip OCTOBER