When Will We Have a Rosie of Our Own?

Overview

Explore challenges in natural language processing, current advancements in speech technology, and the future of human-computer interaction in this insightful overview of AI language capabilities.

Syllabus

• Introduction to Natural Language Processing (NLP)
Overview of NLP and its role in AI
Key challenges in understanding and generating human languages
Tools and techniques in NLP
• Speech Recognition and Synthesis
Fundamentals of speech recognition technology
Current advancements and applications
Speech synthesis and its challenges
• Natural Language Understanding (NLU)
Parsing and semantic analysis
Machine learning approaches to NLU
Handling ambiguity and context in language
• Dialog Systems and Human-Computer Interaction (HCI)
Introduction to dialog systems
Principles of effective human-computer interaction
Case studies of chatbots and virtual assistants
• Advanced Topics in NLP
Sentiment analysis and opinion mining
Knowledge representation and reasoning in NLP
Multimodal interaction combining text, speech, and more
• AI and Human Language: Ethical Considerations
Privacy and data security in language processing
Bias and fairness in AI language models
Future implications of AI language technologies
• Future of AI in Human Language Interaction
Emerging trends and future directions
Integration of AI in everyday human environments
Speculations on achieving conversational AI like "Rosie"
• Course Conclusion
Recap of key learnings
Discussion on the potential for achieving truly human-like AI interactions
Exploration of career and research opportunities in AI language fields

Subjects

Conference Talks