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Artificial intelligence
Unit 1
How AI Works
Introduction to AI
Machine Learning and AI
Natural Language Processing (NLP)
Computer Vision and AI
AI Ethics and Bias
Unit 2
What is NLP
Introduction to NLP
NLP Techniques
NLP in AI Applications
Unit 3
Basic AI projects for Resume
Introduction to Basic AI Projects for Resume
Implementing a Simple AI Project
Showcasing AI Projects on a Resume
Unit 4
When is AGI coming?
Current State of AGI Research
Predictions and Timelines for AGI
Technological Milestones and AGI Development
Challenges and Risks of AGI
Pathways to AGI
Unit 4 • Chapter 5
Pathways to AGI
Summary
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Concept Check
What is the most viable pathway to achieving Artificial General Intelligence (AGI)?
Researching neural networks and deep learning
Exploring genetic algorithms for AGI
Studying expert systems and rule-based AI
Focusing on reinforcement learning in robotics
What is a potential challenge in developing Pathways to AGI?
Lack of computing power
Availability of skilled researchers
Financial investment required
Ethical implications and risks
How can interdisciplinary collaborations help in reaching AGI?
By solely focusing on computer science
By combining expertise from various fields
By outsourcing research to other countries
By investing in hardware improvements
Why is the concept of AGI still a hot topic in the AI community?
Because of its limited scope
Due to its potential societal impacts
Because it is easy to achieve
Due to lack of public interest
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Challenges and Risks of AGI