Parallel Pathways: Bridging The Human Brain And Cognitive Ai

Unraveling the Connections between Brain Functions and AI Systems

What you'll learn

Understand the parallels between human cognitive processes and computational systems.

Differentiate between types of learning.

Learn the basics of how AI machines learn and process information and make decisions.

Gain introductory knowledge of the subject.

Discover similarities and differences between the human brain and AI sustems.

Requirements

None

Description

This course explores the similarities and differences between the human brain and AI systems.You'll learn about how AI learns, remembers, processes emotions etc. as long as how the human brain processes information. You'll gain a solid understanding of foundational principles behind how AI machines operate and process information. You'll learn to differentiate between the different types of learning, such as supervised and unsupervised learning, and dive into the structure and functioning of neural networks. You'll also discover how AI systems mimic aspects of human cognition and adapt to new information.  Moreover, you'll gain a foundational understanding of how these cognitive processes are applied in the development of AI, and gain insights into how artificial intelligence mimics human thinking. Overall, the course provides an introduction to these concepts and aims to unravel and connect the cognitive processes in both AI and humans. You will learn how cognitive processes like memory, learning, emotions influence human behavior and AI and will be introduced to key topics like transfer learning and neural networks and learn how these are applied in AI development.By the end, you'll have a  clearer understanding of how the brain and AI share similar mechanisms and how both systems learn, remember and evolve.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Cognitive Revolution: an Introduction to Sciences

Section 2: Like the brain, like the computer.

Lecture 3 Critical Thinking

Lecture 4 Cognitive Processes

Lecture 5 Neural Networks

Lecture 6 CNN, RNN and LSTM

Section 3: Memory and Learning

Lecture 7 Short Term Memory and Long Term Memory

Lecture 8 Learning

Lecture 9 An Example

Lecture 10 Learning Mechanisms

Lecture 11 Transfer Learning

Lecture 12 Types of Tranfer Learning

Lecture 13 Types of Transfer Learning

Lecture 14 An introduction to CHATGPT

Lecture 15 In Human Words

Lecture 16 In AI Words: Language Generation

Section 4: Emotions

Lecture 17 Emotions part 1

Lecture 18 Emotions part 2

Lecture 19 Emotions part 3

Anyone interested in Computer science and Neuroscience, anyone that is curious about the subject.