Computer Science 591NR - S-NeuralNetworks:Neurosc to AI

This is a project based course, focusing on the science connecting the field of neural network with human brain mechanism, as well as advancements which are at the front of the field. We start by introducing a few neural network architectures with their learning paradigms, including deep feed-forward and recurrent networks, Hopfield's memory, and Kohonen's self organizing maps. We continue by building on the top of these: clique structures and brain-like updatable architectures, explainable AI, combining symbolic with subsymbolic into one strong AI, robust AI, deep fake applications, and up to lifelong learning. This course counts as a CS Elective toward the CS major (BA or BS).

Open to junior and senior Computer Science students who have completed COMPSCI 311 with a grade of C or better. LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS. MEETS WITH COMPSCI 691NR. UNDERGRADUATE COURSE IN ALGORITHMS EQUIVALENT TO COMPSCI 311 IS ASSUMED FOR GRADUATE STUDENTS TAKING THIS COURSE. STUDENTS NEEDING INSTRUCTOR PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.