quarterly year end update april 2018 - asx · 2018-04-02 · connection with any acquisition of...
TRANSCRIPT
BrainChip MARCH 2018 | 1MARCH 2018
ASX CODE: BRN | “AN AI PROCESSOR COMPANY”
Louis DiNardoPresident and CEO
Presented March 2018
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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 occurrence of the events referred to in the presentation will actually occur as contemplated.
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BrainChip Year-End Update
Recent Announcements Sales and Marketing Update Annual General Meeting Spiking Neural Network Technology
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Recent Announcements
February 2018
Establishment of EMEA Sales Presence
• BrainChip retains 20-year experience surveillance and video analytics veteran in Europe, Mr. Luis Coello. • Addition will assist in strengthening BrainChip’s market position with law enforcement and intelligence agencies across Europe.
January 2018
Agreement with Gaming Partners International
• Companies will jointly develop video analytic products for worldwide deployment in casino currency security, game table operations and player behaviour applications.
• BrainChip to receive a total of US$500,000 in license fees, a non-recurring engineering fee of US$100,000 for products developed and long-term revenue sharing for the sale of the developed technology.
November 2017
Establishment of Australian Sales and BD Presence
• BrainChip retains 30-year technology sales and business development veteran Mr. Gregory Ryan to lead Australian Sales and Business Development Initiative.
• Local presence will build upon the Company’s successful engagements in Europe and the United States by addressing the regions’ urgent requirements in anti-terrorism and anti-crime sought by homeland security and local law enforcement.
November2017
Placement Raises A$21.5 million
• BrainChip raises A$21.5 million in an oversubscribed share placement which was supported by a large number of institutions.
October2017
Shipment of First BrainChip Accelerator
• Significant milestone in neuromorphic computing as the first commercial implementation of a hardware-accelerated spiking neural network (SNN) system.
• Major European automobile manufacturer will evaluate BrainChip Accelerator for use in Advanced Driver Assisted (ADAS) and Autonomous Vehicle (AV) applications.
October 2017
Provision of AI Video Analytics for a Large-Scale Municipal Project in France
• Project has a potential value of more than US$1.2 million. • Deployment encompasses over four thousand cameras across several towns and cities in France. BrainChip’s technology will be used on selected
cameras to protect specific high-value areas, including hospitals, schools, and first-responder sites. • BrainChip Studio’s object search and facial recognition capabilities was initially be deployed in 11 pilot locations during Q4 2017 and Q1 2018, with
broader deployments to follow later in 2018. September 2017
Launch of BrainChipAccelerator
• BrainChip Accelerator increases the speed and accuracy of the object recognition function of BrainChip Studio software by up to six times• Very low-power and can be easily installed within existing video surveillance systems without upgrading power systems or thermal management. • Helps law enforcement and intelligence organisations rapidly identify objects in large amounts of archived or live streaming video. F
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• BrainChip Accelerator Card• ADAS and Autonomous Vehicle Collaboration
• Europe• Detroit• Third Parties
• Civil Surveillance/Public Safety• Law Enforcement• Schools• Homeland Security
• Commercial Surveillance/Consumer Behavior• Gaming
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BrainChip’s SNN Outperforms Leading Deep Learning Models
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Nvidia Jetson TX2GoogleNet*
Nvidia Jetson TX2 AlexNet* BrainChip Accelerator**
Effective Fram
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*NVIDIA Jetson TX2 in MQ mode, NVIDIA website, 3/7/2017, adjusted for SD resolution**BrainChip Accelerator, 4 models, 3 scales
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• Successful Placements in 2017 A$27.5 million.• US$20.9M• Ended the Year with Roughly US$16M• Net Burn in December Quarter US$1.9M• Burn US$700K/month or US$2.1M/quarter provides 21 to 22 months• Akida Capital Expense on the order of US$3.0M for Physical Design, Mask and First Tested Units – Covered by Cash Receipts
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• Company expects continued sales growth with original equipment manufacturers, integrators and other partners.
• SaaS• Surveillance System Integrators
• Milestone• Gaming Partners International• Quantum Corporation• Existing Customers
• France Homeland Security• Paris Police• Yveline• Safran• Lockport
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• Company expects continued sales growth with original equipment manufacturers, integrators and other partners.
• Sales Pipeline• 323 Leads since introduction of BCS and Accelerator• Dozens of Software Download• 100 Opportunities• 52 Qualified Opportunities with a lifetime value of over US$336M• 15 Design Wins with a lifetime value of over $37M
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• Trade Shows• Security and Counter Terrorism Expo 2018 – March 3‐6, London, UK
• Added 50 Leads, including key UK organizations• ISC West 2018 – April 10‐13 Las Vegas, USA• G2E – May 15 ‐17 Macau
• Advertising• Online and Print ads across NA and EMEA• Added 59 new leads since Feb 1, including US law enforcement
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• Company is focused on the development of its revolutionary AKIDANeuromorphic Processor Unit.
• ADAS and AV• FinTech• Cybersecurity• IoT
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BrainChip AKIDATM Neuromorphic (NSoC)
Product Description• General Purpose Processor based upon Patented (2008)
Spiking Neural Network• Fully parallel architecture
Training Method• Unsupervised Learning – Trains itself to recognize patterns
Specifications• 8x more neurons than competitive test chips• 13x more synapses than competitive test chips• Ultra-low Power
Development Overview• Milestones: FPGA mid 2018, Dedicated Silicon late 2018
End Market Applications• Robotics• Gaming• ADAS/Autonomous Vehicles• Drones & Air Transport• Surveillance & Cyber Security• Speech & Image Recognition• Stock Market Forecasting
A$•
KIDATMSAM:4.8 Billion*The Neuromorphic Chip Market is estimated to be worth $4.8 Billion by 2022 with a CAGR of 26.31% between 2016 and 2022. Source: Markets and Markets 2015 Report
Neu
rons
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Syn
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TrueNorth Test Chip
2015
Availability
2018
Loihi Test Chip
AKIDATM
20172016
SNAP64
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Artificial Neural Network Competitive Landscape
Software Simulation of ANNs CPU CPU
TrueNorth Test Chip
Customized Acceleration
Edge Acceleration
Off‐the‐Shelf Hardware Acceleration
LoihiTest Chip
Google TPU
Cloud Acceleration
Spiking Neural Networks Convolutional Neural Networks / Deep Learning
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• Well Capitalized• Well Staffed• Strong Intellectual Property• Commercially Available Products for Surveillance• OEM and End‐User Sales• Large Sales Pipeline• Revenue Growth• Profitability• AkidaTM Development
BrainChip 2018
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Louis DiNardoCEO
Anil MankarCDO
Aliso Viejo
Toulouse
Peter van der MadeCTO
Aliso Viejo
Toulouse
Robert BeachlerSVP Marketing
Europe
North America
Australia
Public Relation
Technical Marketing
Ryan BentonCFO
General Accounting
Tax
Treasury
Legal
Human Resources
Investor Relations
M&C
BrainChip Organizational Development
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Traditional CPU Architecture Inefficient for ANNs
Memory
Control unit
PROCESSOR
Arithmetic logic unit
input
output
ACCUMULATOR
Optimal for sequential execution Distributed, parallel, feed‐forward or back‐propagation
Traditional Compute Architecture Artificial Neural Network Architecture
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Machine Learning Taxonomy
Network types
Algorithmic approaches
Class of computing where functionality is NOT
explicitly programmed
Machine Learning (Artificial Intelligence)
Artificial Neural Networks (ANNs)
Convolutional Neural Networks
(Deep Learning)
Spiking Neural Networks (Neuromorphic Computing)
Support Vector Machines
Bayesian Networks
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“We require exquisite numerical precision over many logical steps to achieve what brains accomplish in very few short steps.” 1
John von NeumannInventor of the digital computer
1 Von Neumann J (1958) The Computer and the Brain. New Haven CT: Yale UP.
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Artificial Neural Network Types for Primary Compute
Inhibited connections
Reinforced connections
∫ ∫ ∫
Synapses
Neurons
Spikes
∫Linear Algebra Matrix Multiplication
Convolutional Neural NetworksMath intensive
Ideal for Cloud Compute
Spiking Neural NetworksLow Power
Ideal for Edge / Data Acceleration
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