Brainchip Holdings Ltd. · ASX:BRN
Brainchip — Merger or Acquisition (September 2016)
28 slides from Brainchip's merger presentation, September 2016
Slide 1: Spikenet acquisition
ASX: BRN Spikenet acquisition September 2016
Slide 2: Disclaimer
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
Slide 3: Overview of BrainChip
Overview of BrainChip ASX: BRN BrainChip has developed a revolutionary Spiking Neuron Adaptive Processor (SNAP) technology that learns autonomously and unsupervised, evolves and associates information just like the human brain SNAP technology provides rapid and autonomous learning, KEY MATRIX confir
Slide 4: Spikenet acquisition summary
Spikenet acquisition summary BrainChip has acquired France‐based Acquisition summary Computer Vision Technology Company BrainChip has acquired 100% of Spikenet – Spikenet Technology Technology Spikenet was established in 1999, and Acquisition cost was 10.4 million shares in has developed breakthroug
Slide 5: Transaction highlights
Transaction highlights Complimentary The combined BrainChip The acquisition provides Expands the BrainChip technology offering with and Spikenet solution an immediate path to offering to include BrainChip focusing on holds the potential to commercialisation for software and hardware embedded hardwar
Slide 6: Technological advantage
brainchip” © Technological advantage
Slide 7: Spikenet's breakthrough software
Spikenet’s breakthrough software The brain uses the order in which neurons fire spikes to code information – Spikenet mimics this AI BIOLOGY INSPIRED HUMAN VISION STRATEGIES process SPIKENET, A NETWORK OF SPIKES Spikenet’s Technology works similar to ASYNCHRONOUS SPIKING NEURON NETWORK BrainChip’s t
Slide 8: The Spikenet advantage
The Spikenet advantage Faster Adapts Learning High speed Accuracy deployment to real life capabilities Spikenet can detect Recognition of Software does not Adapts to low Easier to train to more than 5,000 exact image and require a chip to be resolutions, real life recognise visual patterns per secon
Slide 9: Spikenet + SNAP = A game changer ?
Spikenet + SNAP = A game changer ? Spikenet's software A combined solution is is predicted to become far expected to create a product more effective when it is that is faster, far more supplemented efficient, requires less with BrainChip’s SNAP computing power and is autonomous learning cheaper than
Slide 10: Spikenet + SNAP = A game changer ?
Spikenet + SNAP = A game changer ? Rival advance AI systems like IBM’s True North uses “Deep Learning”. Deep Learning networks don’t actually learn; they need extensive programing to “train” the system how to execute a job function. This is very time and resource consuming. A BrainChip/Spikenet solu
Slide 11: Case study: Shark Detection & ID
Case study: Shark Detection & ID Problem Providing an automatic shark detection and identification system that can operate in all water and weather conditions with minimal false positive alerts. Current Use traditional image processing algorithms with systems frame‐based pixel data processing Proces
Slide 12: Case study: Shark Detection & ID
Case study: Shark Detection & ID Identify all common species of sharks and Phase 2 use an embedded chip solution to achieve greater speed and efficiency. Create a software solution to automatically Phase 1 detect sharks 1/09/2016 Private & Confidential 12
Slide 13: Technology comparison
Technology comparison Estimated time it would take to program a shark detection system using the different technologies Deep Learning System Spikenet only BrainChip/Spikenet 240 man hours to train 10 man Takes 2 man hours hours System would have to run System would run on a System would run on a on
Slide 14: Multiple applications
Multiple applications One technology − thousands of poten al solu ons Mobile Devices Facial recognition Manufacturing Airport security Gaming Media analysis Embedded vision Internet‐of‐ sensors Things (IoT) 1/09/2016 Private & Confidential 14
Slide 15: Commercial advantages of acquisition
Commercial advantages of acquisition
Slide 16: Commercial benefits
Commercial benefits New product Path to Instant Seamless customer opportunities market revenues upgrade path Ability to offer new Immediate commercially A recurring revenue Clear upgrade path for solutions ranging from ready product stream from existing customers looking for a software through to Sp
Slide 17: Spikenet's commercial contracts
Spikenet’s commercial contracts Spikenet will bring immediate revenue to BrainChip through existing commercial contracts Bordeaux International Airport Spikenet currently has a contract with Bordeaux International Airport. The Spikenet video surveillance is deployed to watch over all aircraft parkin
Slide 18: Spikenet's commercial contracts
Spikenet’s commercial contracts Spikenet’s playing card solution, SPADE, is already in use in a number of Las Vegas casinos Gaming table surveillance Spikenet currently deploys its SPADE surveillance solution in numerous gaming locations throughout the world including Las Vegas casinos and large cru
Slide 19: Migration path
Migration path Software only Low risk and low cost entry point for customers to use SNAP Near term sales opportunities Hardware only Total solution chip that can be embedded into phones, cars etc. Highest performance solution The Spikenet acquisition provides a low risk entry point for customers not
Slide 20: Experienced team
Experienced team Spikenet brings an experienced team that will assist in the growth of BrainChip Team includes engineers, PhD’s, technicians and neuroscientists with a combined 95 years experience Spikenet’s team are leaders in their field and bolster an already strong US presence Technical teams no
Slide 21: Compelling value acquisition
Compelling value acquisition DeepMind Spikenet Nervana Systems Turi Technologies Acquired by BrainChip Intel Apple Inc. Google Technology Artificial vision Intelligent machine Intelligent machine Machine learning and technology based on learning learning platform visual processing the human visual t
Slide 22: Summary
Summary Merging of complementary technologies offers potential to create the world’s most technically advanced autonomous learning enabled system Accelerates commercialisation opportunities for BrainChip’s SNAP technology Expands the offering to include software and hardware solutions Significantly
Slide 23: Thank you
Thank you Company Contacts: Neil Rinaldi Non‐Executive Director nrnaldi@brainchip.com.au Tel: (+61) 417 178 746 Nerida Schmidt Company Secretary nschmidt@brainchip.com.au www.brainchipinc.com Media Ben Grubb Media and Capital Partners ben.grubb@mcpartners.com.au Tel: (+61) 414 197 508 5/09/2016 Priv
Slide 24: Appendix
brainchip” © Appendix
Slide 25: SNAP's Unique Features
SNAP’s Unique Features ASX: BRN Next Generation rapid real time learning, learns autonomously within seconds A revolutionary custom digital hardware design, no traditional processing core, no firmware, no external memory Real time recognition at very low latency Massive parallel execution ‐ all neur
Slide 26: SNAP Solutions Block Diagram
SNAP Solutions Block Diagram ASX: BRN Actionable Labeled BrainChip Solution Data SNAP‐64 Core Signal Conditioning Configurable Low Low Power Power SNN SNN Environmental Sensory Data Low Latency Labeling Autonomous Network Feature Extraction Optional Partner IP 26
Slide 27: Unsupervised Learning – The New Frontier
Unsupervised Learning – The New Frontier ASX: BRN • 15 March 2016 – Release of Milestone 3 the Autonomous Visual Feature Extraction Neural Network with a Client / Server Application tool • Demonstrated SNAP based Real Time Pattern Learning and Recognition working in a chip (FPGA) hardware • Autonomo
Slide 28: Marketing Strategy - Partners
Marketing Strategy ‐ Partners ASX: BRN 28
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