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Grant: ARIA TA1.1: Hyper-optimised Tensor Contraction for Neural Networks Verification (Advanced Research and Invention Agency (ARIA) → University of Birmingham)

Verdictconfirmed95%
2 checks · 1 src · 4/13/2026
⚠ Checks disagree: 1 confirmed, 1 unverifiable

Deterministic match: grantee, name matched in source snapshot (48 rows)

Our claim

entire record
Name
ARIA TA1.1: Hyper-optimised Tensor Contraction for Neural Networks Verification
Currency
GBP
Date
June 2024
Notes
[Safeguarded AI TA1.1] Hyper-optimised Tensor Contraction for Neural Networks Verification. Lead(s): Stefano Gogioso, Mirco Giacobbe. Institutions: Hashberg Ltd / University of Birmingham. Status: active.

Source evidence

1 src · 2 checks
confirmed95%deterministic-row-match · 4/13/2026
Grantee
Hashberg Ltd / University of Birmingham
Focus Area
TA1.1
Name
Hyper-optimised Tensor Contraction for Neural Networks Verification
Description
Hashberg Ltd / University of Birmin

NoteDeterministic match: grantee, name matched in source snapshot (48 rows)

unverifiable85%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms that TA1 exists within the Safeguarded AI programme and that the programme is active (with recent updates mentioned), it does not contain specific information about the individual grant record being verified. The source discusses programme-level decisions and technical areas but does not list individual funded projects or grants with their identifiers, names, dates, or grantee information. The record cannot be confirmed or contradicted based on the provided source text.

Case № 23EnVUNU_2Filed 4/13/2026Confidence 95%