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Research Papers

AI papers and research worth reading: curated takes on architecture innovations, training methods, capability measurement, and theoretical advances.

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Items 21–22 of 22 items
Mar 12Thu
  1. Google Research72

    Exploring the feasibility of conversational diagnostic AI in a real-world clinical study

    Google Research partnered with Beth Israel Deaconess Medical Center on a prospective single-center feasibility study in which AMIE gathered medical histories before primary care visits for 100 adult patients, with physicians supervising in real time via video.

    Why it matters: The original presents prospective feasibility data and safety results for AMIE in a real primary care setting, showing the current evidence for conversational medical AI moving toward clinical use.

Jul 23Wed
  1. Mistral AI60

    Our contribution to a global environmental standard for AI

    Mistral AI, together with Carbone 4 and France's ADEME, completed what it calls the industry's first full life-cycle environmental impact assessment (LCA) of an AI model.

    Why it matters: The article provides measured environmental footprint data from Mistral Large 2 training and inference, offering a concrete reference methodology for assessing AI's environmental impact.