15 Apr

Release of the Scientific Opinion and Evidence Review Report organised by EU Scientific Advice Mechanism (SAM)

18 Apr

18th International For..Net Symposium: Lectures, panel discussions on current topics of digitalisation, organised by bidt | TUM CDPS

22 Apr

Hannover Messe



Leading international industrial trade fair, with a presentation by W. Wahlster (Steering Committee) and a PLS panel on generative AI with J. Hoffarth (AG1)  

26 May

Prompting Culture_ The AI conference



Opportunities and challenges of AI in the cultural sector, organised by Senate Department for Culture and Community in Berlin and re:publica

27 May

re:publica Berlin 2024



The motto for this years’ festival for the digital society is "Who cares?", including  a panel from PLS

25 Jun

10th International ScaDS.AI Summer School



For students, young professionals & interested parties to discuss selected topics in the field of AI and big data, organized by ScaDS.AI Dresden/Leipzig

Artificial Intelligence in Germany

Our map shows among other things, where AI is being used, which institutions are conducting research on it and where there are suitable courses of study.

Generative AI - Artificial Intelligence All-Rounder?

What can language models currently achieve, how do they work, what are the challenges? Our explanation film answers these questions.

Practical examples: AI in action

Artificial intelligence has long been suitable for practical use. Find out where and how with the help of our continuously expanding case studies.

Interview: 3 Questions for...

Abtin Rad Global Director Functional Safety, Software and Digitization TÜV SÜD on Safe AI in medicine: What does EU regulation bring?

Scenario: Misuse of AI

Our current application scenario shows how attackers can be prevented from misusing an autonomous vehicle as a weapon in road traffic.

Political strategies for AI

What steps are politicians taking in the face of the disruptive changes heralded by Artificial Intelligence? An overview of the AI strategies of selected countries.


Developing medicinal product with AI: New white paper from Plattform Lernende Systeme shows potential and challenges

Artificial Intelligence (AI) can accelerate the development of medicines and promote personalised medicine across the board. In this way, better and individualised medicines can be brought to market more cost-effectively. However, before the population can benefit from more favourable drug prices and innovative medicines, sufficient high-quality data from patients must be made available for research in addition to data on active ingredients, and a legally secure regulatory framework must be created. A current white paper from Plattform Lernende Systeme uses practical examples to show the potential of AI in drug development and addresses design options for overcoming the existing hurdles.

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Best practice: AI in action