doc.ai

doc.ai

Created using Figma
Created using Figma
Doc.ai is a conversational AI-powered platform for on-demand, quantified biology. This advanced natural language dialog system was designed for vertical medical domains, and can generate and communicate insights on genomic and pharmacogenomic, exposomic and anatomical data as well as sensor-based wellness features and hematology. With the help of this technology layer they are launching NEURON, a decentralized artificial intelligence platform which allows anyone to connect to the network and train their own AI, by pushing deep learning to edge devices (smartphones).
Risk: High
Sep 28, 2017
Oct 12, 2017
100% completed
$11 158 215
cap
goal
37% goal completed
Goal 30 000 000 USD
Cap 86 000 000 USD
past
  • 1 NRN
    =
    0.1 USD
Token Details
Ticker
NRN
Accepted Currencies
ETH, BTC
Company Details
Registered Country
USA
Additional Details
Categories
Platform, Cryptocurrency, Other

About doc.ai

With the help of this technology layer we are launching NEURON, a decentralized artificial intelligence platform which allows anyone to connect to the network and train their own AI, by pushing deep learning to edge devices (smartphones).

The Neuron (NRN) tokens give access to the AI network and reward the users (individuals or when the unite they become research organizations) who train their AI with tokens. With these tokens they can broadcast a competition on NEURON and create a bounty (prize) for data scientists. When these succeed in building a prediction model that provides unique insights into the proposed personal quantified biology profile, they win the prize.

The convergent collection of health data, the subsequent classification and the prediction models can be the first step to a documented preventive way of life where health is no longer a discrete but becomes a continuous function and the medical information chain shifts from a seller’s to a buyer’s market.

Features

Implementation of natural language processing for quantified biology, through decentralized AI and distributed edge learning on personal devices.

doc.ai Roadmap

  • Q3 2017

  • Initial stage of research.
  • Q3 - Q4 2017

  • Stage 1 - Development.
  • Q4 2017

  • Stage 2 - Deploy a test network and run tests.
  • Q4 2017

  • Stage 3 - Launch the main network.
  • Read More
  • Q1 2018

  • Initial stage of research.
  • Q1-Q2 2018

  • Stage 1 — Development.
  • Q2-Q3 2018

  • Stage 2 — Deploy a test network and run tests.
  • Q4 2018

  • Stage 3 — Launch the main network and run tests.

Activity

Status:
Full Member
MEDIUM
Activity:
195
MEDIUM
Merit:
100
MEDIUM
Posts:
183
LOW
Views:
8 229
HIGH
Posts:
273
MEDIUM
Followers:
996
LOW
Likes:
900
LOW
Rating:
5
VERY HIGH
Reviews:
4
VERY LOW
Followers:
3 076
MEDIUM
Tweets:
1 335
VERY HIGH
Members:
1 101
LOW
Alexa
Rank:
835 167
LOW
Delta:
-327 489

Team

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

2 ICOs

$44 158 215

CTO
unverified

2 ICOs

$44 158 215

CEO & Co-founder at RSK Labs
unverified

2 ICOs

$16 458 215

Core Developer & Co-founder
unverified

Advisors

Verified 0%

Attention. There is a risk that unverified members are not actually members of the team

6 ICOs

$52 518 286

Advisor
unverified

3 ICOs

$43 388 296

Advisor
unverified

Last News

2.86
risky
5.0 13
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