YoVDO

Computational Models of Cognition - Reverse-Engineering Common Sense in the Human Mind and Brain Pt 1

Offered By: MITCBMM via YouTube

Tags

Cognitive Sciences Courses Artificial Intelligence Courses Computational Modeling Courses Automatic Differentiation Courses Probabilistic Programming Courses

Course Description

Overview

Explore the cutting-edge field of computational models of cognition in this lecture by Josh Tenenbaum from MIT. Delve into the process of reverse-engineering common sense in the human mind and brain, examining the current state of AI and its applications in areas like self-driving cars. Investigate the core of common sense reasoning by studying babies and orangutans, and gain insights into the scientific context of cognitive modeling. Learn about capturing learning processes, constructing models, and working with probabilities and programming. Discover the roles of automatic differentiation, symbol manipulation, and probabilistic inference in modern cognitive science. Examine how probabilistic programming and game engines contribute to our understanding of human cognition and artificial intelligence.

Syllabus

Intro
Where is AI today
Selfdriving cars
Common sense core
Babies
Orangutans
Scientific Context
Capturing Learning
Construct Models
Probabilities Programming
Automatic differentiation
Symbol manipulation
Probabilistic inference
Modern probabilistic programming
The game engine


Taught by

MITCBMM

Related Courses

Introduction to Neural Networks and PyTorch
IBM via Coursera
Regression with Automatic Differentiation in TensorFlow
Coursera Project Network via Coursera
Neural Network from Scratch in TensorFlow
Coursera Project Network via Coursera
Customising your models with TensorFlow 2
Imperial College London via Coursera
PyTorch Fundamentals
Microsoft via Microsoft Learn