186videosPhysics Lectures & Talks | The Royal Institution
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Sean Carroll traces the history of quantum mechanics from Planck to the measurement problem.

Sean Carroll and Jennifer Ouellette discuss the black-hole firewall paradox and the clash between general relativity and quantum mechanics.

Explores how to visualise and 'hear' four-dimensional objects through slicing, projection and analogy.

Biochemist Nick Lane explains the Krebs cycle and its central role in metabolism, ageing and cancer.

David Tong explains why quantum fields, not particles, are the fundamental ingredients of the universe and how the Standard Model is built on them.

Carlo Rovelli discusses what physics says about time, from thermodynamics and relativity to loop quantum gravity.

Irving Finkel explains how cuneiform works and how scholars deciphered it, with tablets from the British Museum.

Anil Seth on consciousness as controlled hallucination: perception as prediction and what neuroscience can measure.
59:51Philosopher Andy Clark explains predictive processing: how the brain constructs experience by predicting its inputs, and what that means for mind and self.

Daniel Dennett asks how brains could be computers with no designer, introducing his ideas on competence without comprehension and the evolution of minds and culture.
59:09Mark Miodownik's 2010 Christmas Lecture on why size matters in materials: scaling laws, strength and structure.
49:35Psychologist Nicholas Humphrey presents his theory of how sentience evolved and what phenomenal consciousness is for.
57:22Ian Stewart's 1997 Christmas Lecture on the mathematics of pattern in nature: sunflowers, snowflakes and symmetry.

Tom Scott's Royal Institution discourse on how social media algorithms, moderation and science communication collide, and why no algorithm can decide truth.

Matt Parker tells stories of maths going wrong in engineering, software and finance, from bridges to spreadsheets.
58:38Bruce Hood's 2011 Christmas Lecture on how the brain builds our experience of the world.

Geoffrey Hinton explains how neural networks learn by backpropagation and compares digital and biological intelligence.
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