Short logoShort logoShort logoShort logo
  • Inspiring the world
    • About us
    • T4.0 Partnership
    • T4.0 on the stage
    • Tourism from zero
    • DIHs 4 Tourism
    • Articles, papers and guidelines
    • News
  • Technology pillars
    • T4.0 Core
    • Tourism Impact Model
    • Analysis of tourist flows
    • Collaboration Impact Token
    • Digital Online Tourist Identity
    • Living Lab
    • Applications
  • T4.0 Projects
    • B-chain for Agri-food Edu
    • CulturalDeTour
    • DIGI-SI
    • Web3 Accelerator
    • 5Dculture
    • Dates
    • SD4TIM
    • Tourbit
    • Insites
    • Weave
    • Amazing AoE
    • Tourism for the Black Sea
    • Tourism 4.0 Demo Pilot
    • Tourism 4.0 TRL 3-6 Project
  • Heritage+
    • Heritage+ ToolKit
    • 3D and 360° digital capture
    • Digital media for cultural heritage
    • Digital interpretation of cultural heritage
    • Digital library
✕

Web3 Accelerator Programme – 4. Workshop

  • Home
  • News
  • Articles, guidelines & papers
  • Web3 Accelerator Programme – 4. Workshop
27. November, 2022
Web3 workshop
parallax background
Web3 workshop

The fourth workshop of the Web3 accelerator programme organised by Arctur in cooperation with the Slovene Enterprise Fund was held at the Chamber of Commerce and Industry of Slovenia in Ljubljana on Thursday November 24th 2022.

The free series of workshops covering the emerging Web3 technologies offered the attendees the valuable opportunity to listen to lectures given by renowned speakers, each respected in their fields of study.

Assoc. Prof. Dr Tomaž Curk, Vice Dean for Research at Faculty of Computer and Information Science, presented the workshop’s theme ‘Bolstering innovation using artificial intelligence and machine learning’ firstly through a theoretical framework and secondly, using the open source program Orange Data Mining, through informative practical use cases of data modelling and pattern detection.

Here are some of Dr Tomaž Curk’s tips on the topic of AI and machine learning:

  1. AI methods, especially machine learning, can be an extremely powerful tool for detecting patterns in data and acquiring new knowledge that can be used in practice.
  2. The two basic steps of building predictive models are always the same: the continuous acquisition of new high-quality data and iterative improvement of models. The acquisition of data and data preprocessing usually proves to be the most difficult part of the entire process.
  3. Before using AI and machine learning models to detect patterns in data one must thoroughly understand the problem at hand.

Open source tool Orange Data Mining is being developed at the Faculty of Computer and Informatics of the University of Ljubljana. The tool’s intuitive, fast and interactive front-end offers fast and interactive insight into data and models. Such tools can significantly speed up the process of improving particular predictive models, improving one’s decision-making. You are warmly invited to try it out for yourselves.

 
Share
5

Related posts

TDO
20. January, 2023

Tourism 4.0 co-creates an important monograph


Read more
Web3
4. January, 2023

Web3 Accelerator Programme – Next Steps


Read more
beyondsnow
4. January, 2023

Works have started on the BeyondSnow project


Read more

Initiator and lead of the T 4.0 initiative

Arctur d.o.o.,
Industrijska cesta 1a, SI-5000 Nova Gorica, Slovenia.
Phone: +386 5 3029070, fax: +386 5 3022042

Tourism 4.0 wiki

I Feel Slovenia

    • News
    • Media Center
    • Join T4.0 Partnership
    • Share your idea
    • Contact us
    ar©tur 2019
    GDPR
    Privacy Overview

    This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

    For more information about cookies and data privacy, read our GDPR statement

    Strictly Necessary Cookies

    Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

    Name Domain Expiration Description
    moove_gdpr_popup tourism4-0.org 7 days This cookie stores cookie consent preferences.
    wp_lang tourism4-0.org Session This cookie stores user language preference.
    wp-settings-time-* tourism4-0.org 1 year This cookie stores user preferences.
    wordpress_test_cookie tourism4-0.org Session This cookie stores information about if cookies can be placed.
    wordpress_sec_*  tourism4-0.org 14 days This cookie provides protection against hackers, store account details.

    If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

    3rd Party Cookies

    Cookies anonymously record information about the website use and, based on this information, help improving the user experience.

    Name Domain Expiration Description
    player .vimeo.com 7 days This cookie is created by Vimeo when video player starts.
    __cf_bm .vimeo.com Session Cloudflare's bot products identify and mitigate automated traffic to protect your site from bad bots. Cloudflare places the __cf_bm cookie on End User devices that access Customer sites that are protected by Bot Management or Bot Fight Mode. The __cf_bm cookie is necessary for the proper functioning of these bot solutions.
    vuid .vimeo.com 7 days This first party cookie created by Vimeo is used to assign a Vimeo Analytics unique id.
    YSC .youtube.com Session Registers a unique ID to keep statistics of what videos from YouTube the user has seen.
    VISITOR_INFO1_LIVE .youtube.com 179 days Tries to estimate the users' bandwidth on pages with integrated YouTube videos.
    _ga .tourism4-0.org 2 years ID used to identify users
    _gid .tourism4-0.org 24 hours ID used to identify users for 24 hours after last activity
    _gat_gtag_* .tourism4-0.org 1 hour Used to set and get tracking data

     

    Please enable Strictly Necessary Cookies first so that we can save your preferences!