<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="FeedCreator 1.8" -->
<?xml-stylesheet href="https://didawiki.cli.di.unipi.it/lib/exe/css.php?s=feed" type="text/css"?>
<rss version="2.0">
    <channel xmlns:g="http://base.google.com/ns/1.0">
        <title>DidaWiki - phdai</title>
        <description></description>
        <link>https://didawiki.cli.di.unipi.it/</link>
        <lastBuildDate>Sun, 10 May 2026 23:48:04 +0000</lastBuildDate>
        <generator>FeedCreator 1.8</generator>
        <image>
            <url>https://didawiki.cli.di.unipi.it/lib/exe/fetch.php/wiki/dokuwiki.svg</url>
            <title>DidaWiki</title>
            <link>https://didawiki.cli.di.unipi.it/</link>
        </image>
        <item>
            <title>Responsible Artificial Intelligence A.Y. 2024/25</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/phdai/rai</link>
            <description>Responsible Artificial Intelligence A.Y. 2024/25

This is the home page of a Ph.D. level course offered at the National Ph.D. in AI - Society.
The course presents technologies enabling the design and development of Responbile Artificial Intelligent (AI) systems. In particular, it first introduces notions of privacy, anonymity, transparency, fairness, and uncertainty in AI considering the Euroepan legal framework and how they can be modelled for enabling the developement of methods for quantitati…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Fri, 11 Jul 2025 12:50:54 +0000</pubDate>
        </item>
        <item>
            <title>National PhD program in AI - Society, Cycle of Seminars A.Y. 2024/25</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/phdai/seminars</link>
            <description>National PhD program in AI - Society, Cycle of Seminars A.Y. 2024/25

The aim is to introduce new PhD students to topics that arise in the life of a researcher in AI, including how to search for knowledge and state-of-the-art, how to access computational resources, how to write a scientific paper, how to make an effective presentation in public, how to measure the performance of scientific publications, how to disseminate research, how to collaborate in scientific projects, etc. The seminars wil…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Mon, 29 Dec 2025 18:32:20 +0000</pubDate>
        </item>
        <item>
            <title>Statistics for Machine Learning A.Y. 2024/25</title>
            <link>https://didawiki.cli.di.unipi.it/doku.php/phdai/sml</link>
            <description>Statistics for Machine Learning A.Y. 2024/25

This is the home page of a Ph.D. level course offered at the National Ph.D. in AI - Society.
The program covers the basic methodologies, techniques and tools of statistical analysis. This includes basic knowledge of probability theory, random variables, convergence theorems, statistical models, estimation theory, hypothesis testing, bayesian inference, causal reasoning. Other topics covered include bootstrap, expectation-maximization, and application…</description>
            <author>anonymous@undisclosed.example.com (Anonymous)</author>
            <pubDate>Thu, 08 May 2025 14:09:49 +0000</pubDate>
        </item>
    </channel>
</rss>
