Actualizado diariamente1504 historias verificadas
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YourCentralValley.com reports that Dinuba Unified will deploy two Evolv weapons-detection systems, beginning at a high school football game.
Back End News reports that Equinix will launch the Equinix Inference Exchange in the first quarter of 2027, offering distributed AI inference for enterprises.
Seoul Economic Daily reports that Moonshot AI is seeking a roughly $50 billion pre-listing valuation and negotiating revenue-sharing arrangements with Microsoft, Amazon and Google.
Juris Hour reports that India’s Supreme Court set aside a customs penalty of about ₹425.28 crore after finding that the order relied on nonexistent or inaccurately represented legal authorities apparently generated by AI.
JNS reports that New York City will bar public-school students through eighth grade from using student-facing generative AI during the 2026-27 school year, while permitting limited, supervised high-school pilots.
QUASA reports that double-blind evaluation can protect confidential prompts and model weights, but cannot by itself establish that an AI benchmark measures a useful or representative capability.
IANS reports that U.S. officials described India as an important AI partner and said Washington wants to integrate American AI technology with national systems.
GovTech reports that Los Angeles Unified now blocks standalone generative AI services and embedded AI features on student devices while a committee develops longer-term safeguards.
EdTech Innovation Hub reports that the University of Glasgow has released a free, open-access toolkit helping educators decide whether and how AI belongs in lessons.
A new arXiv preprint introduces SAGE, an evaluation system that checks whether each turn in a task-oriented AI conversation correctly advances the underlying workflow state. The authors report that its core version matched or exceeded evaluated LLM judges across four benchmark slices while using symbolic rules and…
A preprint reports that giving AI monitors a trusted answer improved their ability to detect wrong conclusions but reduced their ability to identify errors hidden inside correct solutions.
A new arXiv benchmark evaluates chatbot, single-agent and multi-agent LLM systems on diagnosing and correcting non-convergent power-flow cases across two power grids.
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