Page 5 of 541 to 50 of 50 Past Events
2024
February
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AI&Arts and MusAI: AI and Practice-Based Research in Music and the Arts
-In this third seminar of the MusAI series of 4 public seminars held in collaboration with the AI and the Arts interest group at The Alan Turing Institute, we address the rapid growth of practice-based research in music and the arts focused on creative applications of AI. Composers Artemi Gioti...
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Phi-ML meets Engineering: A connection between probability, physics and neural networks
-This latest session will illustrate an approach that can be exploited for constructing neural networks which, a priori, obey physical laws. This event forms part of the Physics-informed machine learning meets engineering seminar series. Please subscribe to the mailing list to ensure attendance. For further details and the link to the mailing list...
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Dynamic Artificial Intelligence (DynAIRx)
-The DynAIRx project aims to develop artificial intelligence (AI) tools to support medication reviews for patients with multimorbidity (people with ≥ 2 chronic conditions), targeting those at greatest risk of medicine-related harm. This session will explore how medication reviews are currently undertaken, the barriers and facilitators of implementing AI tools...
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Music and Copyright after Generative AI: Social, Ontological and Legal Perspectives
-Organised by the AI and Arts Turing Interest Group and the MusAI research programme, “Music, Copyright & Generative AI: Social, Ontological & Legal Perspectives” is the second in a series of 4 public seminars taking critical and creative perspectives on the current state of AI in music. The speakers address the challenges posed...
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Phi-ML meets Engineering: Enhancing Scientific Computing Through Physics-Informed Neural Networks
-The group will provide an overview of the current capabilities and limitations of Physics-Informed Neural Networks (PINNs), highlighting diverse applications where PINNs have proven to be highly effective compared to traditional approaches. Additionally, they will explore extensions of the PINN method, such as conservative PINNs (cPINNs) and eXtended PINNs (XPINNs),...
January
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The Turing-Roche knowledge share series: Transparent AI for healthcare (Virtual Seminar)
-A series for Turing-Roche partnership updates, knowledge sharing and new perspectives, this event will be on the topic of transparency in AI and the different ways this can be considered. We will be hearing from our Turing-Roche Senior Postdoctoral Research Associate Dr Tapabrata Rohan Chakraborty. Rohan will talk about the different...
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Policy Priorities & AI for SDGs
-29 January to 2 February and 9 February, 2024 (online event)
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AI's Data Dilemma: Confronting the Paradox of Poor Quality Data in the Age of AI
-University of Exeter (live-streamed)
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Tech-Talk: A principled approach to writing collaborative research code (Virtual Seminar)
-At this first Turing-Roche Partnership Community Scholar Tech Talk, we will hear from final-year Oxford University DPhil student, Claudia Vanea. Claudia will explore the most useful techniques and practises for writing collaborative research code with examples from research codebases and personal experience. She will focus on version control, abstraction, project...
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Phi-ML meets Engineering: Feature Encoded and Multi-Resolution Physics-Informed Machine Learning Approaches for Musculoskeletal Digital Twin Applications
-Machine Learning (ML) approaches offer effective tools to identify biological system properties from physiological measurements, e.g., motion data and raw surface electromyography (sEMG), providing opportunities to construct a subject-specific musculoskeletal (MSK) digital twin system for health condition assessment and motion prediction. This event forms part of the Physics-informed machine learning...