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machine learning

CSAE Research Podcasts

AI and Services-led Growth: Evidence from Indian Job Adverts

Online job adverts show that the demand for AI related skills has grown rapidly in countries around the world since 2015. This project examines the demand for AI skills in India's service sector, using a new dataset of online job adverts.
Future of Business

Artificial Intelligence and why the future is bright

This week Shubham Saraff and Andreas Finzel discuss the impact of technologies like AI and machine learning. They talk about the benefits and difficulties we experience today and what sectors of our economy are being disrupted first.
Department of Statistics

Causality and Autoencoders in the Light of Drug Repurposing for COVID-19

Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021.
Department of Statistics

Recent Applications of Stein's Method in Machine Learning

Qiang Liu (University of Texas at Austin) gives the OxCSML Seminar on Friday 4th June 2021.
Department of Statistics

Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning

Aki Vehtari (Aalto University) gives the OxCSML Seminar on Friday 7th May 2021
Department of Statistics

Machine Learning in Drug Discovery

Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford.
The Oxford/Berlin Creative Collaborations

Cre-AI-tivity: Blood in a Whatsapp message?

This last in our trilogy explores data as the foundation of AI systems. We learn how this enables mapping individual learners' progress and benchmarking in a teaching context, but also how that data exchange raises ethical issues.
Department of Statistics

A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline

Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021.
The Oxford/Berlin Creative Collaborations

Cre-AI-tivity: Hogwarts 4ever?

The second in our trilogy of podcasts explores the role AI can play in story creation and development. We learn how machines can extend a fictional story world, as well as our interaction with it.
The Oxford/Berlin Creative Collaborations

Cre-AI-tivity: Make the machine work 4u

First in a trilogy explores the impact of AI on story creation and reception. We learn how machines enable audiences to experience the humanity of fictional characters. Yet a ‘rhetoric of innovation’ gets in the way of understanding what is happening.
Department of Statistics

Looking back on 4 years in data science

Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engineer in top rated companies around the world.
Theoretical Physics - From Outer Space to Plasma
Captioned

An Introduction to deep learning

Professor Ard Louis gives a basic introduction to deep learning for physicists and addresses a few questions such as: Is the hype around deep learning justified, or are we about to hit some fundamental limitations?
Journey of a Molecular Detective; David Sherratt

Will War still need us? What Future for Agency in War?

Will War still need us? What Future for Agency in War? - an interview with Christopher Coker
Futuremakers

Season Finale: AI selection box

In the final episode of our series, we’re looking back at the themes we’ve discussed so far, and forward into the likely development of AI.
Futuremakers

Is China leading the way in AI?

In the penultimate episode of series one of Futuremakers, we’re looking at the development of AI across the globe.
Futuremakers

What does AI mean for the future of humanity

Join our host, philosopher Professor Peter Millican, as he explores this topic with three experts from Oxford University.
Futuremakers

Has AI changed the way we find the truth?

Around the world, automated bot accounts have enabled some government agencies and political parties to exploit online platforms in dispersing fake messages.
Futuremakers

From Ada Lovelace to Alan Turing, the birth of AI?

Many developments in science are achieved through people being able to ‘stand on the shoulders of giants’ and in the history of AI two giants in particular stand out.
Futuremakers

Is AI good for our health?

Join our host, philosopher Peter Millican, as he explores the topic "Is AI good for our health?"
Textual Therapies

Computational Literary Studies and Mental Health

A project combining English literature, experimental psychology, and computational linguistics, with a focus on entropy, abstraction, and mental health.

Pagination

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