AGI-26 keynote

Alexander G. Ororbia

Alexander G. Ororbia is a computer scientist at the Rochester Institute of Technology, where he directs the Neural Adaptive Computing (NAC) Laboratory. His research develops brain-inspired learning algorithms beyond backpropagation, including predictive coding, neuromimetic and biologically plausible credit assignment, active inference, and continual/lifelong learning.

Public work

This subsite indexes Alexander G. Ororbia's published papers as a searchable corpus — the foundation for a grounded AI guide and cross-thinker synthesis in Society of Minds Aligned.

Corpus

165 papers →