Solving NP Problems
Gary emphasizes the need for a blend of algorithms and vast knowledge databases to tackle NP hard problems effectively. The discussion delves into the challenges of optimal learning in discrete symbolic paradigms, shedding light on the importance of machine-interpretable knowledge.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
Related Questions