Lab V2

Seeding the Next Generation of Artificial Intelligence and Machine Learning

Society is now starting to enjoy the results of years of research into artificial intelligence.  However, major challenges remain.  Today’s state-of-the-art methods tend to function as “black boxes”, do not identify causal linkages, require vast amounts of training data, and may have unexpected poor performance in certain conditions.

At Lab V2, we are focused on several critical challenges in the field, including:

  • Explainable AI algorithms
  • AI methods based on causality instead of correlation
  • Characterizing the conditions that dictate algorithm performance

Lab V2 is a new research group at Arizona State University led by Paulo Shakarian.  Shakarian is a tenured professor at Arizona State who has recently returned to his position after exiting the machine learning startup (CYR3CON) he co-founded.  In Lab V2, the team will apply scientific ideas such as formal logic and causality to the practical problems of machine learning operations.  Specific domain areas of focus include:

  • Sustainability
  • Healthcare / medicine
  • Supply chain understanding
  • Agriculture technology
  • Spread of innovation