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'Artificial Intelligence' part 2 - How to create machines that learn

Series
Big Questions - with Oxford Sparks
Audio Embed
Professor Nando de Freitas explains that understanding how our brains work has helped us create machines that learn, and how these learning machines can be put to completing different tasks.
We talk to Nando de Freitas who works on creating machines that can learn. He tells us how getting to grips with how our own minds work has helped to inspire us to come up with what sounds like the surprisingly simple recipe for a learning machine. We also find out what sorts of tasks these learning machines are doing now, and the sorts of things we might expect in the future.

More in this series

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Big Questions - with Oxford Sparks

'Artificial Intelligence' part 1 - Using artificial intelligence to spot patterns

Professor Stephen Roberts explains how machines, whose job it is simply to learn, can help researchers spot scientific needles in data haystacks, which will help us solve some grand challenges.
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Big Questions - with Oxford Sparks

'Artificial Intelligence' part 3 - Understanding how we learn language

Professor Kim Plunkett explains how neuroscientists use artificial intelligence as a tool to model processes in the brain – in particular to understand how infants acquire language.
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Episode Information

Series
Big Questions - with Oxford Sparks
People
Nando de Freitas
Keywords
science
podcast
radio
education
factual
speech
research
experimental
creative
culture
interview
artificial
intelligence
computer
machine learning
deep learning
algorithms
mind
logic
astronomy
biology
biodiversity
Patterns
smart
phones
voice
face
recognition
data
neuroscience
language
acquisition
neural networks
Department: Mathematical, Physical and Life Sciences (MPLS)
Date Added: 19/05/2015
Duration: 00:12:09

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