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An Introduction to AI Unit 7: Machine Systems for Language Processing

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1 Hour
Unit overview

In this unit, we will continue to determine how machines implement language processing. We will first look at some machine systems and how to put them together. We will then discuss question-answering systems and more advanced natural language systems such as BERT, ELMO, Transformers, and GPT3. Finally, we will explore emotion modelling – looking at human psychology models of emotion before moving on to discuss how machines could perhaps model emotion.

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Level Technical
Partner Details

Dr. Ronjon Nag

Dr. Ronjon Nag has an Engineering PhD (Cambridge), an SM in Management Science (MIT) and a B.Sc. in Electrical Engineering (Birmingham). He is president of the R42 Institute and he became a Stanford University Interdisciplinary Distinguished Careers Institute Fellow at the Center for Study for Language and Information in 2016. He works on the Boundaries of Humanity Project looking at intelligence in humans, animals and machines in the age of biotechnology and artificial intelligence. He teaches at Stanford Medical School. He is an active Advisor and Board Member to some 70 AI and Biotech companies. He has also been awarded the IET Mountbatten Medal for contributions to the mobile phone industry.

Type Unit
What you will learn
By the end of this unit, you will:

• Understand machine systems for language processing.
• Understand question-answer systems.
• Understand transformer networks.
• Understand emotion modelling.
Who should learn
This introductory course is open to learners of all levels. No computer science or programming experience is needed, but an understanding of simple algebra would be useful.