Tools

In-house Technology   

Several any in-house CAIML tools are available for licensing and for use in industry collaborative projects.

Explainable Machine Learning Systems

CAIML researchers have developed a family of explainable machine learning systems that can help companies understand their machine learning models. Machine learning models are black-boxes that make predictions without explaining how they were made. Thus, if the model is biased or unfair is hard to know. Thus, ability to explain a prediction is an important characteristic of a model. We have developed the FOLD family of explainable machine learning tools that are available for licensing. Deprecated versions of these tools are available for free.

Interactive Chatbots that Understand Humans

CAIML researchers have leveraged ChatGPT (large language models) and its own automated commonsense reasoning tool to develop technology that allows building chatbots that can interact with a human user and “understand” what he/she is saying. The chatbots are domain-specific but are guaranteed to be safe and provide correct response. CAIML can develop these interactive chatbots for its industry customers.

Automated Reasoning Systems

CAIML researchers have built technology to model the human thought process. This system, called s(CASP), is being used by many groups around the world to develop applications that rely on automating commonsense reasoning. CAIML researchers can help you build these intelligent applications (see Nexco project above, for example).

What’s Happening?

This system analyzes videos and detects activities of interest through analysis of time series data using statistical relational learning (SRL) models.

Statistical Relational Learning (SRL)

Several tools are available for combining learning and reasoning through the use of SRL technology. These include reasoning in hybrid probabilistic domain, cost sensitive learning, etc.