ARIA TA1.1: Modal Types for Quantitative Analysis

Funder

Advanced Research and Invention Agency (ARIA)wiki

Recipient

University Of Kent

Program

Safeguarded AI TA1.1 — Theory

Date

Jun 2024

Source

Notes

[Safeguarded AI TA1.1] Modal Types for Quantitative Analysis. Lead(s): Vineet Rajani, Dominic Orchard. Institutions: University of Kent. Status: active.

Other Grants by Advanced Research and Invention Agency (ARIA)

91

Grant	Recipient	Amount	Date
ARIA TA1.4: Field Building for Better Formal Models of Society	Meaning Alignment Institute		Feb 2025
ARIA TA1.3: Safeguarded Collaboration with AI Agents in a Type-Theoretic Computational Environment	University of Michigan		Sep 2024
ARIA TA1.1: Hyper-optimised Tensor Contraction for Neural Networks Verification	University of Birmingham		Jun 2024
ARIA TA1.1: Monoidal Coalgebraic Metrics	University Of Pisa		Jun 2024
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 TA1.4: Aggregating Safety Preferences for AI Systems (ASPAI)	University of Warwick		Feb 2025
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

Showing 10 of 91 grants

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