Cooperative competition: A new way of solving computationally challenging problems in AI and beyond

Progress in solving challenging problems in artificial intelligence, computer science at large and beyond, is driven to a significant extent by competition – regular algorithm competitions as well as comparative performance evaluation against state-of-the-art methods from the literature. A prominent example for this is the satisfiability problem in propositional logic (SAT), an NP-hard problem that not only lies at the foundations of computer science, but also plays a key role in many real-world applications, notably in ensuring the correctness of hard- and software. In this presentation, Holger Hoos argues that it is time to rethink the way we assess the state of the art in solving problems such as SAT and the incentives for improving it. Hoos demonstrates how automated algorithm selection and configuration techniques based on sophisticated machine learning and optimisation methods have fundamentally changed not only the state of the art in solving SAT and many other NP-hard problems, but also provide a natural basis for cooperative competition – a new approach for achieving and assessing progress not merely in solving these problems, but also in the way we approach them as a scientific community.

Elements of AI

“Elements of AI” is een gratis online cursus van Minnalearn (vroeger Reaktor), de Universiteit van Helsinki en KU Leuven. We willen zo veel mogelijk mensen aanmoedigen om te leren wat AI is, wat er mogelijk is met AI en wat niet, en hoe AI-methoden gecreëerd kunnen worden. De cursus bestaat uit theorie en praktische oefeningen. Je kunt zelf je eigen tempo bepalen.

De academische partners in België zijn KU Leuven en UCLouvain. De FOD Beleid en Ondersteuning, AI4Belgium en zijn partners zijn verantwoordelijk voor de promotie van deze cursus bij het grote publiek.

Cyber sprint in 6 weeks

Interested in cyber security? You want to work in digital security, but you don’t know where to start? Join us for a  – free – 6 week training and discover the most important things you need to know to start a complete cyber security course.

Data Visualization

Acquire a strong foundation and practical skills in data visualization, encompassing the creation of impactful visualizations and data-driven dashboards. Learn how to effectively interpret and analyze data, as well as empower both yourself and others in this process. Explore the latest tools and techniques in the field to enhance your data visualization capabilities.

Linked Data & Solid 2023

Dive into creating interoperability across multiple servers and organizations, on multiple levels. We will learn how to carefully reuse domain models where possible, and how to define your own terms where necessary, according to the latest state of the art in Linked Data. Solid applies Linked Data on personal data management: instead of having to store user data on your own servers, you can rely on a storage provider that speaks the Solid specification. Challenges that can be solved with Linked Data arise from the moment multiple apps read and write from the same storage. Techniques will be discussed to provide cross-app interoperability across open, shared, as well as personal knowledge graphs.

Recommender Systems (DBWRS) 2023

DBWRS is the first Dutch-Belgian Workshop on Recommender Systems. In today’s digital age, where information overload and an abundance of choices are the norm, recommender systems play a vital role in helping users navigate through vast amounts of data. These systems have become ubiquitous across various domains, including e-commerce, social media, entertainment, and many more, shaping the way we discover new products, engage with content, and connect with others.

Standard for Public Code

This course introduces the term public code, explains why this is important, and introduces the process through which software and policy code can become certified public code.

Data Science Seminar

This training consists of monthly seminars on Data Science, each time inviting an internationally renowned researcher over to Ghent University to share their vision and experience on various specific areas of expertise in Data Science research, with the aim of creating a community of researchers from different fields, interested in further developing the foundations of Data Science, or in applying state-of-the-art Data Science techniques in their work.

Solving Public Problems with Data

This training is a series of online lectures by leading experts from the Governance Lab. It introduces you to Data Science and Data Analytical thinking in the public interest. These lectures will teach you how to use data to solve public problems.

cours en ligne gratuit “Elements of AI”

Thi is a series of free online courses created by Reaktor and the University of Helsinki. You are encouraged to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.

Image

robots2-2

Publish in core platform

No

Author

Link text

Link Type

Same as url

Target audience

  • Digital skills for all

Digital technology / specialisation

  • http://data.europa.eu/uxp/3030|http://data.europa.eu/uxp/437655

Digital skill level

  • basic|intermediate

Geographic Scope - Country

  • Belgium

Industry - Field of Education and Training

  • Information and Communication Technologies (ICTs) not further defined

Target language

  • http://publications.europa.eu/resource/authority/language/FRA|http://publications.europa.eu/resource/authority/language/ENG

Type of initiative

National initiative

Target group

  • High Achievers

Typology of training opportunities

Course

Learning activity

e-learning coursework

Assessment type

  • Online

Training duration

Up to 3 months

Organization

Is this course free

Yes

Is the certificate/credential free

Yes

Type of training record

Single offer

Training Start date

Effort

Part time light

Credential offered

Learning activity

Self-paced course

No