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Do aerospace engineers trust AI enough to adopt it? AI has the potential to improve productivity, address engineering skills shortages, accelerate product development and strengthen maintenance operations in the aerospace sector, however aerospace remains a safety-critical industry and therein lies the challenge. In response the Aerospace Technology Institute (ATI) and
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Lead story -Meaning, meet action! Why context engineering needs context We said "no good AI without data quality" - we were wrong (kind of). We thought "you need to serve up the right context for thx LLM" - wrong again, kind of. The most effective type
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Veeam® Software, the Data and AI Trust Company, today announced it has been named a Champion – the highest category awarded – in the latest Omdia Global Managed Backup and Disaster Recovery (BDR) Leadership Matrix. The Omdia Leadership Matrix evaluates vendors that play an integral role in driving backup and disaster recovery
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Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
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Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
TECH NEWS
Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
TECH NEWS
Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
TECH NEWS
By Naresh Rao, VP & Sales Head Issuance Products, Giesecke+Devrient (G+D) India’s digital payments ecosystem has become one of the world’s biggest success stories. From neighborhood Kirana stores to global e-commerce platforms, Indian consumers can now reliably expect every payment to be instant and seamless everywhere.
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Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
TECH NEWS
Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
TECH NEWS
Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
TECH NEWS
Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &
