Machine Learning (ML) and Deep Learning (DL) approaches continue to prove that they are inadequate to solve the problem of Intelligent Natural Language Interaction.
Aigo uses ‘Evidence-based Hypothesis’, a radically different approach with no Machine Learning (ML) and no Deep Learning (DL) to solve the problem of Intelligent Natural Language Interaction.
Aigo is built on a human mind-like Integrated Cognitive Architecture that puts Aigo ‘Light Years’ ahead of other chatbots, as explained by
DARPA.
How is Aigo different?
Aigo has built-in Cognitive Capabilities because of it’s Brain:
- Memory – ability to remember what user said prior and use it contextually in all future conversations.
- Learning - new information interactively
- Understanding - context and complex sentences
- Reasoning - ability to reason
- Managing - ongoing conversation
- Adapt & Personalize – based on individual user’s history, current context, and goals.
Aigo is hardware agnostic, domain agnostic, and industry agnostic.
Aigo’s brain can easily scale from 100 users to 100 million users.