<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Tecnology-Ict on Daniele Bailo</title><link>https://danielebailo.github.io/en/tags/tecnology-ict/</link><description>Recent content in Tecnology-Ict on Daniele Bailo</description><generator>Hugo -- 0.150.1</generator><language>en-GB</language><lastBuildDate>Thu, 08 May 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://danielebailo.github.io/en/tags/tecnology-ict/index.xml" rel="self" type="application/rss+xml"/><item><title>Introduction to Artificial Intelligence: Applications, Foundations, and Ethical Challenges</title><link>https://danielebailo.github.io/en/news/introduzione-allintelligenza-artificiale-applicazioni-fondamenti-e-sfide-etiche/</link><pubDate>Thu, 08 May 2025 00:00:00 +0000</pubDate><guid>https://danielebailo.github.io/en/news/introduzione-allintelligenza-artificiale-applicazioni-fondamenti-e-sfide-etiche/</guid><description>&lt;p&gt;I am pleased to share an introduction to the world of Artificial Intelligence (AI), exploring its applications in everyday life as well as in scientific and technological contexts.&lt;/p&gt;
&lt;p&gt;The seminar examines the fundamental principles that guide AI development, with a focus on advanced technologies such as Machine Learning and Deep Learning, and discusses the differences between generative and traditional AI. It also offers space for reflection on the ethical and environmental aspects of AI use, in line with the European regulatory framework and the challenges ahead.&lt;/p&gt;</description></item><item><title>The three components to ENVRI-hub success</title><link>https://danielebailo.github.io/en/news/the-three-components-to-envri-hub-success/</link><pubDate>Tue, 01 Jun 2021 00:00:00 +0000</pubDate><guid>https://danielebailo.github.io/en/news/the-three-components-to-envri-hub-success/</guid><description>&lt;p&gt;&lt;strong&gt;Interview with Daniele Bailo, Zhiming Zhao, and Ari Asmi, who explain the key components forming the ENVRI-hub: the ENVRI Catalogue of Services, the ENVRI Knowledge Base, and the ENVRI Use Cases&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Daniele, can you explain in more detail why&lt;/em&gt;&lt;br&gt;
&lt;em&gt;these three components are crucial to the ENVRI-hub&lt;/em&gt;?&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Daniele&lt;/em&gt;: These are three distinct but complementary&lt;br&gt;
elements used as containers to support the provision of&lt;br&gt;
heterogeneous datasets, services, and software within&lt;br&gt;
ENVRI.&lt;/p&gt;</description></item><item><title>Science and Social Media - Part I</title><link>https://danielebailo.github.io/en/news/scienza-e-social-media-part-i/</link><pubDate>Sun, 13 Dec 2015 00:00:00 +0000</pubDate><guid>https://danielebailo.github.io/en/news/scienza-e-social-media-part-i/</guid><description>&lt;p&gt;Just over ten years have passed since a Harvard University student laid the foundations for what, today, is the network almost automatically associated with the expression &amp;ldquo;social network&amp;rdquo;: &lt;a href="https://www.facebook.com/"&gt;Facebook&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;a href="http://it.wikipedia.org/wiki/Mark_Zuckerberg"&gt;M. Zuckerberg&lt;/a&gt;, the now former student and new millionaire, managed to become the spokesperson and interpreter of the social dimension of the web. In a relatively short time, especially when compared with the hundreds of thousands of years humanity needed to introduce technologies such as ironworking, this helped drive an enormous and widespread adoption of computers and, more specifically, of the web.&lt;/p&gt;</description></item></channel></rss>