Big Tech's $720B AI Infrastructure Bet Shows No Signs of Cooling
Amazon, Microsoft, Alphabet, and Meta have indicated that their combined 2026 capital expe…
ZICQ curates daily AI news and deep dives on models, open-source infrastructure, and developer field reports.
Submit an articleCurrent filter: Tag: #Continual Anomaly Detection Clear filters
Amazon, Microsoft, Alphabet, and Meta have indicated that their combined 2026 capital expe…
Research & Papers· 2026-11-05
The paper introduces Sequential Staypoint Extraction (SSPE), a state-driven method for rec…
Research & Papers· 2026-11-05
The paper introduces Multi-Item Scoring (MIS), a prefix-aware, non-autoregressive framewor…
Research & Papers· 2026-11-05
This work examines whether a validation metric used for checkpoint selection and early sto…
Research & Papers· 2026-11-05
MA-SafeDiffuser extends SafeDiffuser’s control-barrier-function (CBF) constraints to diffu…
LLMs & Foundation Models· 2026-11-05
The authors audit HuggingBench as a versioned data product rather than treating a benchmar…
LLMs & Foundation Models· 2026-11-05
A long-horizon benchmark for receiver-directed federated learning tracks how each site adm…
Agentic· 2026-11-05
SlackBench introduces a reproducible environment for evaluating agents on collaborative re…
Research & Papers· 2026-11-05
This paper introduces a Finsler-Randers metric-learning framework for latent spaces, where…
LLMs & Foundation Models· 2026-11-05
RAGCompass addresses a central limitation of multi-retriever RAG systems: no single retrie…
Research & Papers· 2026-11-05
EditVeto places a veto gate after a full-context LLM rewrite for OCR restoration. The rewr…
LLMs & Foundation Models· 2026-11-05
This paper addresses the tendency of large language models to answer ambiguous referring e…