Perceptron

Terms & Conditions

media
Modular

Decisions with Cannabis Data Transactions

Our nodes look at data and perform operations to learn and model relationships to develop flexible decisions by computations. We help transactions know who, what, when and how to better serve. Potentially developing the loyalty and trust that helps cannabis brands "Seize the Moment".

Video Process Engineering

Machine Learning

Deep Learning

Federated Learning

Neuromorphic Computing

Algorithms

media
Value
Benefit
Go Live

CMN learns and registers information procured from the video and user uploads and shares. Capturing information on what was viewed, when, how, where, play activity the viewer behaviour provides better recommendations and user retainership using triggers and associations.

WeedTV applies this

machine learning
Value
Benefit
Get service

Machine Learning with CMN helps fulfilment and logistics, personalization and recommendations, computer vision and translation, fraud prevention, forecasting and supply chain optimization.

WeedTV uses this

Deep Learning
Value
Benefit
Get ML

CMN provides Deep Learning tools for Computer Vision, Speech recognition, Natural Language Processing and Recommendation Engines. We combine technologies from Deep Learning frameworks such as Amazon, Intel, Tensorflow, ApacheMXNet Microsoft Cognitive to bring a wide variety of use cases.

WeedTV

Federated Learning
Value
Benefit
Federate

By capturing key data you become aware of your target audience and competitors so that you can focus campaigns to apply sucessful marketing techniques to better increase chances of building a trusting brand identity. CMN applies the latest technology to help you understand your audience.

WeedTV

Neuromorphic
Value Live Converstions
Benefit Instant Empowerment
Engage

Brain Inspired Computing (BIC) offers parallel systems for algorithms and high performance networking. CMN leverages Neuromorphic Computing for Big Data Analysis and Bioinformatics applications.

WeedTV analyzes data and environmental conditons and searches for ways to help operate more efficiently and smarter. Our Human AI allows for video broadasting and live engagement via our Edge Network whether it is for customers and guests or used internally with staff members.

CMN Algorithms
Value Informed Decisions
Benefit Increase Conversions
Engage

By training algorithms with millions of labeled images, deep learning neural networks can successfully identify subjects as well or even better than humans, leading to advanced capabilities like rapid facial recognition. This is just a single concept of how CMN applies algorithms to media.

WeedTV is a Cannabis AI Platform that connects users and uses these algorithms for a better experience and recommends products and stores based on user locations, relevancy and interests.

Better Cannabis Commerce

Audience WeedTV

Our Cannabis Channel Partner Brand WeedTV offers AI-driven solutions for live streaming events, corporate communication, video analytics and content management.

  • Build Video Channels and Live Broadcasting

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  • Build Storefronts and Brand Channels

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  • Develop Real-Time Messaging Services

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  • Create Live Loyalty Campaigns

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  • Excite, Engage, Enact.

    AI for Cannabis

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    • Discovering possibility in concrete
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    • Nulla pellentesque dignissim
  • 01

    Video CMS

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    Details
  • 02

    Audience Manager

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    Details
  • 03

    Emotion Experience Engine

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    Details
  • 04

    Marketplace Marketing Manager

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    Details
  • 05

    Transaction Compliance Kit

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    Details
Famous Quotes

Mindful Neural Quotes

    “Your brain does not manufacture thoughts. Your thoughts shape neural networks.”

    Deepak Chopra
    Deepak Chopra Author

    "Deep neural networks are responsible for some of the greatest advances in modern computer science."

    Jeff Dean
    Jeff Dean Google AI Research

    "The neural network is this kind of technology that is not an algorithm, it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials."

    Howard Rheingold
    Howard Rheingold Writer

    "In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators."

    John Battelle
    John Battelle Recount Media

    "We're going to be able to ask our computers to monitor things for us, and when certain conditions happen, are triggered, the computers will take certain actions and inform us after the fact."

    Steve Jobs
    Steve Jobs Apple