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ORA collection on AI & Machine Learning launch event

ORA collection on AI & Machine Learning launch event In-Person

The Bodleian Libraries have recently launched the ORA (Oxford Research Archive) collection on Artificial Intelligence and Machine Learning. This portal collects the AI-related research output from Oxford authors across all disciplines in ORA. To launch this wonderful resource we have organised an event with knowledgeable researchers in the field of AI and Machine Learning at Oxford. There will be a series of short talks followed by a Q&A. The event will be followed by a tea, coffee and biscuit break with a chance to network with colleagues and potential collaborators.

Book your place and we’ll see you at the Main Hall, Taylorian Institution.

Date:
Tuesday 19 March 2024
Time:
10:00 AM - 11:30 AM
Time Zone:
UK, Ireland, Lisbon Time (change)
Location:
Main Hall, Taylor Institution (Map )
Categories:
  Open Access  
Registration has closed.

Running Order

Introduction

Alessandra Vetrugno, Lead Librarian for Physical and Applied Sciences, Bodleian Libraries
Jason Partridge,  Open Access Service Manager, Bodleian Libraries
Rachel Scanlon, Subject Librarian for Physical and Applied Sciences, Bodleian Libraries

Lightning talks

Transfer learning for heterocycle synthesis prediction

Ewa Wieczorek, DPhil student in the Department of Chemistry

While heterocycles play a central role in medicinal chemistry, predicting synthetic pathways towards them remains challenging for computational tools. This talk shows how the use of various transfer learning strategies with a transformer model can lead to increased accuracy of ring-formation prediction.

Machine learning-based potentials for modelling chemical reactions in the gas phase and solution

Veronika Juraskova, Postdoctoral researcher in the Department of Chemistry

This talk will demonstrate how Machine Learning-based potentials accelerate the accurate modelling of chemical reactions.

Learning to Adapt: Rational Personalization of Cancer Treatment Schedules using Deep Reinforcement Learning

Kit Gallagher, DPhil student in the Mathematical Institute

Proposing the application of deep reinforcement learning to guide adaptive drug scheduling in oncology, and demonstrating that this framework can generate rational treatment schedules that double the time to relapse attained by current adaptive protocols.

Simulation and analysis of highly polygenic traits

Daiki Tagami, Dphil student in the Department of Statistics

Using machine learning to analyze highly polygenic traits from the human whole-genome sequencing data.

AI & Elections in Africa

Michael Collyer, DPhil student at the Oxford Internet Institute

This talk will highlight some of the opportunities and challenges regarding the use of AI in Elections with a focus on Africa.

International governance of civilian AI via jurisdictional certification

Benjamin Harack, DPhil student in the Department of Politics and International Relations and DPhil Affiliate at the Oxford Martin AI Governance Initiative

AI governance must include standardized international regulation, and one way to accomplish that goal is through a certification regime similar to what already exists for civil aviation, shipping, and banking.

Networking and Refreshments

Posters

Using AI-generated speech to inform historical sound change (with specific reference to Old English vowel breaking)

Jonathan Wei, DPhil student in the Department of Linguistics, Philology and Phonetics

A Reinforcement Learning approach to Hamiltonian Eigenvalue Solving

Oliver Chapman, DPhil student in the Department of Chemistry

Trustworthiness Auditing for Artificial Intelligence Systems

Kaivalya Rawal, Postdoctoral researcher at the Oxford Internet Institute

Event Organizer

Alessandra Vetrugno
Profile photo of Rachel Scanlon
Rachel Scanlon

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