Causal AI Platform (CAP) for AI MC

Product 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 [email protected] for licensing and instructions on next steps.
Version: 3.2
By
DeepCyber

Categories: ML Solutions
Analytic Platforms
Application Servers

Operating System
Linux/Unix, Ubuntu Latest
Delivery Methods
Amazon Machine Image

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Highlights: CAP can solve critical causality challenges, e.g., medical problem solving by MC, 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.

Category: Infrastructure Software

Delivery Method: Amazon Machine Image