Conferences  >  Informatics  >  Implementation and Applications of Artificial Intelligence  >  Germany

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Reactive systems are software systems that engage in a continual dialogue with their environment. They constitute the software parts of cyber-physical systems where timely reactions are often critical to safety. Applications include autonomous vehicles, electric power systems, industrial automation, healthcare electronics, and robotics. Because the software engages in a continual dialog with its environment, it often has conflicting requirements. It needs to be predictable, but robust to unpredictable events; it needs to react in a timely manner, but this often requires reacting with inconsistent information; it needs to be adaptable, but demonstrably safe; and it needs to be secure, but accessible and available. Many conferences and workshops focus on one of the goals, such as achieving real-time behavior, without explicitly acknowledging the costs and without providing sound strategies for dealing with failures that prevent reaching the goals. The focus of this seminar will be on the tradeoffs that are intrinsic in the design of such systems. When you make a system predictable, available, secure, or even demonstrably safe, what have you lost? This Dagstuhl Seminar will pull in experts from manifold disciplines to identify and discuss the fundamental limits in reactive systems design that make tradeoffs inevitable.

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Internet of Things (IoT) and Sensor Networks

Entwickler.de Akademie

Das MLcon GenAI Training bietet eine einzigartige Kombination aus Theorie und Praxis. An Tag 1 starten wir mit den Grundlagen von Python für Machine Learning und den wichtigsten Frameworks. Tag 2 führt Sie in die Welt der Generative AI ein: Sie lernen, wie Modelle integriert, Prompts optimiert und Use Cases erfolgreich umgesetzt werden. Am dritten Tag wenden Sie dieses Wissen praktisch an, indem Sie RAG-Systeme implementieren, Vektordatenbanken nutzen und MLOps für den produktiven Betrieb einsetzen. Dieses Intensivtraining ist ideal für alle, die GenAI von Grund auf verstehen und direkt umsetzen möchten.

AI, Machine Learning, Künstliche Intelligenz, KI

Neural Networks and Artificial Intelligence, Machine Learning,    Training in Computer Science, Courses

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The objective of this workshop is to bring together researchers, practitioners, and experts in the field of explainable AI to collaboratively develop reusable experiment designs. Evaluating explainability methods is something that has not been standardized by the community, meaning each author must develop and justify their own approaches. This reduces the abilities of researchers to publish their findings, which can also hinder progress in this space.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In a little over a year since the release of ChatGPT, language models (LMs) have stirred concerns in government, over the possibility that citizens will come to believe the textual and spoken output of such models. Similarly, they have caused panic in education, forcing a rethink of what students are learning and how to assess it. Of concern to us here, is whether LMs mean the end of computational and/or cognitive models of human language learning and language use. Does the practical success of LMs mean that computational linguistics (and perhaps even linguistics itself) is no longer relevant? Or are we missing problems with LMs that computational linguistics (and linguistics more generally) could help us both recognize and surmount?

Neural Networks and Artificial Intelligence, Machine Learning,    Natural Language Processing, Computational Linguistics

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH