ARIA TA1.1: Profunctors: A unified semantics for safeguarded AI
Failed source checkRecipient
University Of Manchester
Date
Jun 2024
Data source
Source
Notes
[Safeguarded AI TA1.1] Profunctors: A unified semantics for safeguarded AI. Lead(s): Nicola Gambino. Institutions: University of Manchester. Status: active.
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|---|---|---|---|
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| ARIA TA1.2: CatColab: Collaborative modeling, specification, and verification | Topos Institute | Sep 2024 | |
| ARIA TA3: Digital Custodians for Ageing Infrastructure | Mind Foundry / WSP | Sep 2024 | |
| ARIA TA1.1: ULTIMATE: Universal Stochastic Modelling, Verification and Synthesis Framework | University Of York | Jun 2024 | |
| ARIA TA3: Safeguarded AI-Enabled Biopharmaceutical Manufacturing | University of Birmingham | Sep 2024 | |
| ARIA TA3: SAILS: Safeguarded AI for Logistics and Supply chain | HASH | Sep 2024 | |
| ARIA TA1.1: Modal Types for Quantitative Analysis | University Of Kent | Jun 2024 |
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