Hybrid Artificial Intelligence

In conventional AI applications, the practice has long been to set specific goals and models of ideal performance based on a decision tree with rules that guide the machine through its operations. That means anything not mapped out on the decision tree can easily confound the AI system, creating an inflexible system that can't think outside the box. This rigidity lacks the fluid power of human-like cognition, limiting the potential applications of conventional AI.

Beyond Limits has stepped up to the challenge of creating cognitive systems that are capable of much more flexible learning, modeling, and remodeling. Our cognitive systems allow for simultaneous reasoning and learning. This enables both software and hardware systems to grow more sophisticated and adept at tasks. We also incorporate human expert knowledge and established best practices to inform the system's reasoning. Scarce institutional knowledge owned by domain experts can therefore be democratized across an entire enterprise.