Assignments are listed by their due date.
Week | Dates | Day and Topics | Assignments | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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1 | Mar. 4-8 | Day 1: Introduction to course
Intelligence: What is it, where do we find it? | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Day 2: Constraint Satisfaction
Backtracking search | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Day 3: Intelligence: How do we test it?
AI landscape, future directions of AI | Mar.7, BC:
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Day 4: Introduction to Neural Networks, Perceptron | Mar.8, BC: Constraint
Satisfaction/ Sudoku assignment 2
| Mar. 11-15
| Day 5: Feed-forward networks, backpropagation
| Day 6: Deep blue discussion, brute force
solutions, pattern matching in chess, Monte Carlo Tree search
| Mar.12, BC: Deep Blue summary
| Day 7: Grabbing the Tiger by the Tail
| Day 8: Discussion of paper, Introduction to
NN assignment, Basic properties of data sets, OOD errors
| Mar.14: Great A.I. Awakening summary
| 3
| Mar. 18-22
| Day 9: Ethics: Bias, Copyright issues, Hallucinations
| Day 10: CNNs
| BC: Cutting-edge
work proposal
| Day 11: CNNs continued
| Day 12: AlphaGoZero discussion, Pattern
recognition
| BC: AlphaGoZero summary
| 4
| Mar. 25-29
| Day 13: NLP, early work in NLP
| Day 14: Knowledge representation:
Embeddings, Paraphrases, Ontologies, Common sense
| 23:59: NN assignment
| Day 15: Hopfield Networks, RNNs
| Day 16: Discussion of "What kind of Mind does
ChatGPT have?" paper, RNNs
| BC: What kind of Mind does ChatGPT have? summary
| 5
| Apr. 1-5
| Day 17: LSTMs, Encoder-Decoder, Attention
| Day 18: Reasoning in ChatGPT
| Day 19: Introduction to Transformers
| Day 20: No class, instructor ill
| 6
| Apr. 15-19
| Day 21: Transformers continued
| Day 22: No class, instructor is presenting at SMWC in West
Terre Haute
| Day 23: Transformers, Pattern matching, Discussion of Attention paper
| BC: Attention summary
| Day 24: Cutting-edge work presentations
| 23:59: CNN assignment
| 7
| Apr. 22-26
| Day 25: Research directions for the next break-through
| Day 26: Reinforcement Learning
| Day 27: Reinforcement Learning
| Day 28: Cutting-edge work presentations
| 8
| Apr. 29- | May 3 Day 29: Cognitive Architectures
| Day 30: ChatGPT-4 showing sparks of AIG
| Day 31: Impact of AI
presentations
| Day 32: Cutting-edge work presentations
| 9
| May 6-10
| Day 33: Reports of assessment of ChatGPT
| BC: Assessment of ChatGPT
| Day 34: Reports of assessment of ChatGPT
| Day 35: Impact of AI
presentations
| Day 36: Cutting-edge work presentations
| 10
| May 13-17
| Day 37: Discussion of Dreyfus paper, Pattern recognition
| BC: Alchemy and AI summary
| Day 38: Impact of AI presentations
| Day 39: Training an LLM presentations
| BC: Training an LLM reports
| Day 40: Training an LLM presentations
| |