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.