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Artificial and Natural Intelligence πŸ§ πŸ€–

What does it mean for a machine to be intelligent, how does current artificial intelligence compare with animal intelligence, and should we be worried?

Instructor: Professor Venkatesh Murthy (vnmurthy@fas.harvard.edu)
Head TF: Lucy Lai (lucylai@g.harvard.edu)
Lecture: M/W 3-4:15PM | Science Center Hall E

Quick Links

Week 1 - Introduction

Week 2 - The Building Blocks of Biological and Artificial Intelligence

Jan 31
LEC 3 The Building Blocks of the Brain πŸŽ₯
Slides
Readings πŸ“– (The readings for this week contain largely the same material–you may elect to just read one of them)
Feb 2
LEC 4 Guest Lecturer - Jeff Lichtman (Harvard) πŸŽ₯
Papers mentioned in Prof. Lichtman’s talk πŸ“„
PSET 1 handed out Covers lectures 1-4
PSET 1 / no blank space / tex
Section
Section begins this week!
Introduction, purpose of section
Discussion: What is intelligence?, Marr’s levels, AI ethics

Week 3 - The Building Blocks of Biological and Artificial Intelligence (Cont'd)

Feb 7
LEC 5 The Architecture of the Brain πŸŽ₯
Slides
Readings πŸ“–
Feb 9
LEC 6 The Building Blocks of Neural Networks πŸŽ₯
Slides
Readings πŸ“–
Feb 11
PSET 1 DUE @ 11:59
Submit PSET 1
Section
Activity: Neural circuits
Activity: Neural network architecture
PSET 1 help

Week 4 - The Building Blocks of Biological and Artificial Intelligence (Cont'd)

Feb 14
LEC 7 How Networks Learn πŸŽ₯
Slides
Readings πŸ“–
Feb 16
LEC 8 Guest Lecturer - Cengiz Pehlevan (Harvard) πŸŽ₯
PSET 2 handed out Covers lectures 5-8
PSET 2 / no blank space / tex
Section
Discuss PSET 1
Gradient descent & backprop review
MNIST demo

Week 5 - Learning to Represent

Feb 21
No Class – President’s Day
Feb 23
LEC 9 Primary Visual Cortex and Convolutional Neural Networks (CNNs) πŸŽ₯
Slides
Readings πŸ“–
Feb 25
PSET 2 DUE @ 11:59PM
Submit PSET 2
Section
Discussion: CNNs vs. BNNs, NN models of other brain systems
Activity: Edge detection
PSET 2 help

Week 6 - Learning Complex Representations

Week 7 - Language in Brains and Machines

Mar 7
LEC 12 Natural Language and Communication πŸŽ₯
Slides
Readings πŸ“–
Mar 9
LEC 13 Language and Machines πŸŽ₯
Slides
Readings πŸ“–
Mar 11
MIDTERM DUE @ 11:59PM
Submit MIDTERM
Section
Section OPTIONALβ€”Midterm office hours & help

Spring Break - Mar 12 to Mar 20

Week 8 - Learning to Act

Mar 21
LEC 14 Reinforcement Learning: Learning Actions and Values πŸŽ₯
Slides
Readings πŸ“–
Mar 23
LEC 15 RL in the Brain: The Computational Role of Dopamine πŸŽ₯
Slides
Readings πŸ“–
Section
Discuss MIDTERM
Reinforcement learning policies, Modeling addiction

Week 9 - Applications

Mar 28
LEC 16 Learning To Play Complex Games πŸŽ₯
Slides
Readings πŸ“–
Mar 30
LEC 17 Learning How To Drive A Car πŸŽ₯
Slides
PSET 3 handed out Covers lectures 14-17
PSET 3 / tex
Section
AI vs. humans in complex game play, Kalman filter

Week 10 - What Does The Black Box Do?

Week 11 - The Limits of Intelligence

Apr 11
LEC 20 Guest Lecturer - Cynthia Dwork (Harvard) πŸŽ₯
Slides
Readings πŸ“–
Apr 13
LEC 21 Human & Algorithmic Biases πŸŽ₯
Slides
Readings πŸ“–
PSET 4 handed out Covers lectures 18-21
PSET 4 / tex
Section
Discuss PSET 3
Human vs. machine biases

Week 12 - Reality?

Apr 18
LEC 22 Dreams in Brains and Machines πŸŽ₯
Slides
Readings πŸ“–
Apr 20
LEC 23 What is Consciousness, and Can Machines Have It? πŸŽ₯
Slides
Readings πŸ“–
Apr 22
PSET 4 DUE @ 11:59PM
Submit PSET 4
Section
PSET 4 help
Final paper topic idea due to section leader this week
Present 1 slide of your paper topic / rough outline

Week 13 - Towards General AI & What is Missing?

Apr 25
LEC 24 Guest Lecturer - Josh Tenenbaum (MIT) πŸŽ₯
Readings πŸ“–
Apr 27
Course Summary & Feedback πŸŽ₯
FEEDBACK End-of-year course feedback form
Section
No section this week!
May 9
FINAL PAPER DUE @ 11:59pm
Submit FINAL PAPER