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    Causal AI Platform (CAP)

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    Sold by: DeepCyber 
    Extending AI ML, AI MC is nextgen AI of machine causality (MC) for problem solving. CAP is a cloud-agnostic container platform for machine problem solving. Designed and owned by a U.S. company, CAP is a nextgen AI innovation of MC for robotics, data modeling and analytics, and causality algorithms (Nobel Econ 2021), machine root cause analysis and machine problem solving. It enables latent AI innovation, noise reduction, prediction and discovering latent causalities that are previously undetectable.
    Listing Thumbnail

    Causal AI Platform (CAP)

     Info
    Sold by: DeepCyber 

    Overview

    CAP enables AI MC problem solving by model definition, latent factor discovery, noise reduction, prediction, and finding latent causal relationships. *Example 1: medical problem solving for physicians by MC and CAP. What causes overweight? Is diet more important than activities for weight loss? See https://ranty.net/cai/ai  *Example 2: Is MACD a more effective technical indicator than RSI in predicting stock prices? See https://ranty.net/rsi/ai  *Example 3: causal AI chip (CAC) enables Edge AI MC high-performance computing (HPC) for self driving cars and bots. *Example 4: CAP enables nextgen business intelligence as Enterprise AI MC. After your EC2 instance is launched, reach out to demo@deepcybe.com  for licensing and instructions on next steps. This can also serve as a licensing server for AI Risk Index (ARI) services from https://ranty.net .

    Highlights

    • CAP can solve critical causal challenges, e.g., medical problem solving, causal natural experiments (Nobel https://ranty.net/cai/ai/nobel2021p.pdf), elevating ML and robotics to MC, and predicting stock prices by AI MC (Shiller Fama 2013).
    • CAP can visually define and visualize latent factors and causal relationships, while deep-learning neural-network AI models hide latent factors.
    • CAP Web can offer low-code easier-to-use interfaces for data intake, latent factor definition, causal model plotting, causality strength discovery and visual model optimization by fit indices.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu Latest

    Typical total price

    This estimate is based on use of the seller's recommended configuration (m3.medium) in the US East (N. Virginia) Region. View pricing details

    $2.057/hour

    Pricing

    Causal AI Platform (CAP)

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (21)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    m3.medium
    Recommended
    $1.99
    $0.067
    $2.057
    m3.large
    $1.99
    $0.133
    $2.123
    m3.xlarge
    $1.99
    $0.266
    $2.256
    m3.2xlarge
    $1.99
    $0.532
    $2.522
    m4.large
    $1.99
    $0.10
    $2.09
    m4.xlarge
    $1.99
    $0.20
    $2.19
    m4.2xlarge
    $1.99
    $0.40
    $2.39
    m4.4xlarge
    $1.99
    $0.80
    $2.79
    m4.10xlarge
    $1.99
    $2.00
    $3.99
    m4.16xlarge
    $1.99
    $3.20
    $5.19

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    NA

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    CAP WebSEM

    Additional details

    Usage instructions

    1. launch AMI - get public IP
    2. download a .pem file
    3. ssh -i {.pem file} ubuntu@{IP}
    4. cat README
    5. annual LAP users send email to demo@deepcybe.com  for additional support

    Resources

    Vendor resources

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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