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      Google jumps into the AI coding assistant fray with Codey and Studio Bot

      news.movim.eu / ArsTechnica · Wednesday, 10 May, 2023 - 22:47

    A mock-up made by Google depicting an AI assistant inside Android Studio

    Enlarge / Android Studio will get a dedicated helper chatbot called Studio Bot. (credit: Google )

    During today's I/O presentation, Google announced Studio Bot, an AI assistant that Android developers can use to help write and debug code.

    Built on Codey and the revised PaLM 2 large language model, Studio Bot is only available to US developers for now and is in its "very early days," Google said. It's part of Android Studio, Google's official integrated development environment (IDE) for Android devs.

    This is distinct from another Codey-based project that is meant to compete directly with GitHub's Copilot at completing and generating in-line code.

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      Setting our heart-attack-predicting AI loose with “no-code” tools

      news.movim.eu / ArsTechnica · Tuesday, 9 August, 2022 - 13:00 · 1 minute

    Ahhh, the easy button!

    Enlarge / Ahhh, the easy button! (credit: Aurich Lawson | Getty Images)

    This is the second episode in our exploration of "no-code" machine learning. In our first article , we laid out our problem set and discussed the data we would use to test whether a highly automated ML tool designed for business analysts could return cost-effective results near the quality of more code-intensive methods involving a bit more human-driven data science.

    If you haven't read that article, you should go back and at least skim it . If you're all set, let's review what we'd do with our heart attack data under "normal" (that is, more code-intensive) machine learning conditions and then throw that all away and hit the "easy" button.

    As we discussed previously, we're working with a set of cardiac health data derived from a study at the Cleveland Clinic Institute and the Hungarian Institute of Cardiology in Budapest (as well as other places whose data we've discarded for quality reasons). All that data is available in a repository we've created on GitHub, but its original form is part of a repository of data maintained for machine learning projects by the University of California-Irvine. We're using two versions of the data set: a smaller, more complete one consisting of 303 patient records from the Cleveland Clinic and a larger (597 patient) database that incorporates the Hungarian Institute data but is missing two of the types of data from the smaller set.

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