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Rosalyn Moran Academy upload

Brains, Computers, and the AI Revolution

Rosalyn Moran

In recent years the research into AI has made dramatic strides into revolutionising writing, image generation and computing capabilities. But, how do these systems work? And what can the brain's processes teach us about optimising AI?

Start Date: 1st May 2024

About the Course

In recent years the research into AI has made dramatic strides into revolutionising writing, image generation and computing capabilities. But, how do these systems work? And what can the brain's processes teach us about optimising AI? Join Professor Rosalyn Moran, leading professor of computational neuroscience and deputy director of the AI Institute at King's College London, as she delves into AI, the theory of active inference, and what our brains tell us about the AI of the future.

Part 1: The brain and AI

How does the brain compute? How can we apply the brain's biological tips and tricks to streamline AI?

Part 2: Physics, neurotransmitters and disease

With our understanding of brain computation, how can we interpret neurological disease?

About the Instructor

  • Rosalyn Moran

    Rosalyn Moran is a Professor of Computational Neuroscience and Deputy Director of the King's Institute for Artificial Intelligence at King's College London. Her work charts a revolutionary new approach to training AI's instead of traditional large language models. Instead Rosalyn's work starts with how our brains respond to stimuli and works backwards to design AI's capable of genuine self-understanding and novel problem solving. In tests, her AI was even able to defeat a traditional AI at Doom.

    Alongside her academic career, Rosalyn is the director of a new AI Start-up called Stanhope AI, editor of the Neuroimage and Neuroimage Clinical Journals and was a former senior lecturer at Bristol University.

Course Syllabus

  • Part 1: AI, Brains and Free Energy
    How does the brain compute? How can we apply the brain's biological tips and tricks to streamline AI?
  • Part 2: Building AI in the image of humanity
    With our understanding of brain computation, how can we interpret neurological disease?