Skip to content
Longterm Wiki
All Source Checks
Grant

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

confirmed95% confidence

2 evidence checks from 1 unique source

Last checked: 4/3/2026

[deterministic-row-match] Deterministic match: grantee, name matched in source snapshot (48 rows)

Evidence — 1 source, 2 checks

confirmed95%deterministic-row-match · 4/3/2026
Found: Matched row: {"grantee":"Hashberg Ltd / University of Birmingham","focusArea":"TA1.1","name":"Hyper-optimised Tensor Contraction for Neural Networks Verification","description":"Hashberg Ltd / Univers

Note: [deterministic-row-match] Deterministic match: grantee, name matched in source snapshot (48 rows)

unverifiable95%Haiku 4.5 · 3/25/2026
Found: The source text discusses the Safeguarded AI programme backed by £59m, mentions Technical Area 1 (TA1) and its expansion, but does not specifically mention or identify any individual grant titled 'ARI

Note: While the source confirms the existence of the Safeguarded AI programme and TA1, it does not contain specific information about the individual grant record being verified. The source discusses the programme structure and technical areas at a high level but does not list specific funded projects or grants with their names, dates, grantees, or funders. The identifiers 'XqjV4mbMXQ' and 'bEVAImWDe3' are not mentioned in the source text. Without explicit confirmation of these specific details in the source material, the record cannot be verified.

Debug info

Record type: grant

Record ID: XEowBh9aRw