A Survey of AI: Transforming Our Lives

     Introduction to AI 

• Definition and History of AI 

• Branches of AI 

• NLP 

• Expert systems 

• Computer vision 

• Autonomy 

     Data Science Fundamentals 

• Data collection, preparation and analysis 

• Data types 

• Data visualization 

• Statistical methods for data analysis 

     Machine Learning 

• Definition and concepts 

• Supervised and unsupervised learning 

• Reinforcement learning 

• Common algorithms and applications 

Machine Perception and Computer Vision 

• Image processing 

• Feature extraction 

• Object detection and recognition 

• Deep learning techniques 

• Convolutional neural networks 

• Vision transformer architectures 

  Natural Language Processing 

• Fundamentals of NLP 

• Text preprocessing 

• Sentiment Analysis 

• Topic modeling 

• Machine translation 

AI and Robotics: 

• Challenges & Application 

• Robot Kinematics 

• Path planning 

• Simultaneous localization 

• Integration of AI techniques 

AI and Autonomy 

• AI in Autonomous Systems 

Generative AI 

• ChatGPT 

• StableDiffusion 

• Generative adversarial networks (GANs) 

• Variational Autoencoders (VAEs) 

AI Ethics and Governance 

• Governability, accountability, transparency and privacy 

AI in National Security 

• Practical Applications in communications, sensing, health, transportation and entertainment 

Human-Centric AI 

• Challenges in building human-centric AI systems 

• Assistive technologies 

• AI trusted partner 

Future Directions in AI 

• Current and emerging technologies