Distributed Synthetic Data Platform for Deep Learning Applications - - PowerPoint PPT Presentation

Distributed Synthetic Data Platform for Deep Learning Applications

BITCOIN OR ETHER MINING AMAZON DEEP LEARNING

$7-8 USD per DAY $3-4 USD HOUR

BITCOIN OR ETHER MINING AMAZON DEEP LEARNING

$7-8 per DAY $3-4 per HOUR

The AI industry is ready to pay miners for their computational resources more than they can ever get from mining Ether or BTC.

KNOWLEDGE MINING IS MORE PROFITABLE. DEEP LEARNING NEEDS YOUR POWER!

WE CAN BRIDGE THIS GAP

GPU

x6

GPU

BITCOIN OR ETHER MINING AMAZON DEEP LEARNING

$7-8 USD per DAY $3-4 USD HOUR

Chris

NOT ENOUGH LABELED DATA FOR NEURAL NETWORK TRAINING

“BOTTLENECK” OF AUTOMATION OF EVERY INDUSTRY:

BITCOIN OR ETHER MINING AMAZON DEEP LEARNING

$7-8 USD per DAY $3-4 USD HOUR

170.000 OBJECTS

ABOUT 40 BLN IMAGES PER YEAR

TO AUTOMATE THE RETAIL INDUSTRY MUST BE RECOGNIZED ON THE SHELVES

IMAGE RECOGNITION IN RETAIL BY ECR RESEARCH:

OSA HP CONTRACTED NEUROMATION TO PRODUCE LABELED DATA AND TO RECOGNIZE

30% OF THE COST IS COMPUTATIONAL POWER.

MORE THAN 7 MLN EURO REVENUE

BITCOIN OR ETHER MINING AMAZON DEEP LEARNING

$7-8 USD per DAY $3-4 USD HOUR

Chris LABELED PHOTOS ARE REQUIRED TO TRAIN IMAGE RECOGNITION MODELS

MORE THAN

1 BLN

WHERE CAN WE GET THIS HUGE AMOUNT OF LABELED DATA?

Chris

1 MAN = 8 HOURS x 50 IMAGES, x $0.2 PER IMAGE YEARS OF MECHANICAL WORK

1 BLN LABELED PHOTOS = $240 MLN

DATA LABELING

HAS BEEN MANUAL WORK TILL NOW

WE KNOW HOW TO GENERATE SYNTHETIC LABELED DATA FOR DEEP LEARNING

• Labeled data with 100% accuracy
• Automated data generation with no limits
• Cheaper and faster than manual labor

SYNTHETIC DATA:

A BREAKTHROUGH IN DEEP LEARNING BUT REQUIRES HUGE COMPUTATIONAL POWER TO RENDER DATA AND TRAIN NEURAL NETWORKS

BITCOIN OR ETHER MINING AMAZON DEEP LEARNING

$7-8 USD per DAY $3-4 USD HOUR

NEUROMATION PLATFORM

TokenAI

will combine in one place all the components necessary to build deep learning solutions with synthetic data

THE UNIVERSAL MARKETPLACE OF NEURAL NETWORK DEVELOPMENT

VAST APPLICATIONS OF SYNTHETIC DATA NEUROMATION LABS:

RETAIL AUTOMATION LAB PHARMA AND BIOTECH LAB synthetic data for: ENTERPRISE AUTOMATION LAB synthetic data for:

• +170 000+ items for Eastern

European retail market only

• about 50 euro per object
• more than 7 mln Euro in

revenue

• medical imaging (classify

tumors and melanomas)

• health applications (smart

cameras)

• training flying drones,

self-driving cars, and industrial robots in virtual environments

• manufacturing and

supply-chain solutions

(live)

• 2,000 ETH → Retail + Med-Devices Labs. Basic Neuromation Platform.
• 5,000 ETH → Industrial Innovation Labs, 1,000 GPUs cluster enabled on the platform.
• 10,000 ETH → Large Neuromation Platform: 10,000 GPUs pool tied to the platform.

1000s of service providers on the platform.

• 50,000 ETH → 100,000 GPUs pool. Fully distributed Neuromation Platform.

World wide adoption.

• 200,000 ETH → Neuromation world-wide computation cluster.

Neuromation blockchain, 1M GPU pool.

• Secret Cap: Token sale will stop 7 days after the secret cap is reached.

Neuromation web site will inform everyone when the secret cap is reached.

ICO GOALS

BITCOIN OR ETHER MINING AMAZON DEEP LEARNING

$7-8 USD per DAY $3-4 USD HOUR

• the network must be geographically distributed and keep track of

massive amounts of transactions

• the payment method for completed work should be highly liquid and

politically independent

• network nodes have to understand the model of “mining” a resource for a bounty:

transparency is required to build trust

• transactions need to be transparently auditable to prevent fraud and mitigate dispute

NEUROMATION PLATFORM will be extending Etherium with TokenAI.

Blockchain is the only technology that can realistically accomplish this. Extending Ethereum instead of building our own blockchain is an obvious first step.

Neuromation needs to quickly deploy a massive network of computation nodes (converted from crypto miners).

OUR TEAM:

Maxim Prasolov CEO Fedor Savchenko CTO Sergey Nikolenko Chief Research Officer Denis Popov VP of Engineering Constantine Goltsev Investor / Chairman Andrew Rabinovich Adviser Yuri Kundin ICO Compliance Adviser Aleksey Spizhevoi Researcher Esther Katz VP Communication Kiryl Truskovskyi Lead Researcher

Team building Seed round completed. Work started Launch of R&D in Retail Lab test synthetic data hypothesis Proof of hypothesis on synthetic data is finished. Retail synthetic data generator proven. Model development complete (reached 95% accuracy). Marketing and first sales to retail clients. ICO preparation. Neuromation ICO. Neuromation platform v1. Launched with 1,000 GPU capacity deployed. Medical devices Lab has started. Active sales and marketing of Neuromation platform. Neuro Tokens are tradable on exchanges. Industrial automation Lab has started. Neuromation platform v2. Launched with 10,000 GPU capacity deployed. Neuro Token will migrate to its own blockchain. Neuromation platform v3. Launched with 100,000 GPU capacity deployed.

Q4 2016 Q1 2017 Q2 2017 Q3 2017 Q4 2017 Q1 2018 Q2 2018 Q3 2018

NEUROMATION ROAD MAP

OCTOBER 15th, 2017 Presale starts NOVEMBER, 2017 Public sale starts UNKNOWN DATE Secret cap is reached, and token sale ends in 7 days Jan 1st, 2018 Token sale ends (if secret cap is not reached)

ICO ROADMAP

• Tokens Minted: 1,000,000,000
• Issued in ICO: Up to 700,000,000
• Reserve: from 300,000,000
• Price per Token: 0.001 ETH

ICO DETAILS

Jurisdiction: Estonia, EU

* Neuromation is fully compliant with Estonian crowdfunding legislation

KNOWLEDGE MINING - A NEW ERA OF DISTRIBUTED COMPUTING

THANK YOU!

neuromation.io