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Software & Support Media GmbH

Der entwickler Summit verbindet drei Jahrzehnte Softwareentwicklung mit der Zukunft des Software Engineerings; ein zentraler Treffpunkt, um Wissen zu teilen, Trends zu diskutieren und die Softwarebranche von morgen zu gestalten. Erlebe in visionären Keynotes wie die Branchen Starts dir die Tech-Trends 2025 näher bringen. Freue dich auf über 40 praxisnahe Sessions und Keynotes von renommierten Expert:innen und nutze die Chance, dich mit der entwickler.de Community zu vernetzten. Zum Abschluss des entwickler Summits erwartet dich außerdem die große After-Party. Sei dabei und feiere mit uns, unseren Partnern und einzigartigen Showacts in die Berliner Nacht!

Software & Support Media GmbH;     Tel.: [+49 (0)69 630 089 0];     Email: info@sandsmedia.com

Java, Architektur, Software-Innovationen, .NET, Web Entwicklung, AI Innovationen, CI/CD, Kubernetes, Agile, Gen AI, Machine Learning, JavaScript, Angular, React, Node.js, Web APIs, API Design, Cloud, DevSecOps, API, Security,

Softwareentwicklung,    Informationssicherheit und Datenschutz

entwickler.de Akademie | Software & Support Media GmbH

Das Camp ist ideal für erfahrene .NET-EntwicklerInnen, die ihre .NET-Fertigkeiten erweitern und in die Welt der KI-gestützten Softwareentwicklung eintauchen möchten. Professionelle SoftwareentwicklerInnen mit .NET Basiswissen, SoftwarearchitektInnen mit Entwicklungserfahrung.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

Funktionsweise, GitHub Copilot, Softwareentwicklung, Einschränkungen und Nachteile von KI, ChatGPT, OpenAI, Azure OpenAI, API, Architekturmuster, Embedding-Vektoren

Eingebettete Systeme, RFIDs,    Allgemeine und fachübergreifende Veranstaltugen in Informatik

entwickler.de Akademie | Software & Support Media GmbH

Dieses Training vermittelt essenzielles Know-how und bewährte Tools zur Entwicklung und Implementierung realer Generative AI-Lösungen und Machine-Learning-Modelle. Teilnehmende erhalten praxisorientierte Einblicke in die Integration von Large Language Models (LLMs) und lernen erprobte Strategien für ein effektives GenAI Service Design direkt von erfahrenen ML-Expert:innen kennen. Zudem werden zukunftssichere Kenntnisse rund um Konzeption, Umsetzung und Betrieb von ML-Services mit MLOps vermittelt – für nachhaltigen Erfolg in KI-Projekten.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

ML-Landschaften, GenAI-Projekt, Prompt-Engineering, Modellintegration, Enterprise-Integration, GenAI-Lösungen, Implementierung, RAG-Systeme, Chunking, Vektordatenbanken, Systemoptimierung, Evaluation, Qualitätssicherung

Allgemeine und fachübergreifende Veranstaltugen in Informatik,    Eingebettete Systeme, RFIDs

entwickler.de Akademie

Das neue GenAI Bootcamp bei den JavaScript & Angular Days vom 23. - 24. Oktober 2025 in Berlin ist deine praxisnahe Einführung in die Welt der Generativen KI - speziell für Angular-Entwickler:innen. In dieser kompakten Schulung mit Marco Frodl lernst du, wie du moderne GenAI-Technologien im Enterprise-Umfeld verstehst, anwendest und nahtlos in deine Angular-Projekte integrierst.

Was dich erwartet:

- Grundlagen von Generative AI, Prompt Engineering, RAG & Agenten

- Entwicklung von PoCs mit Python, LangChain & LangGraph

- Robuste AI-Schnittstellen für den Zugriff aus dem Frontend

- Integration von AI-Backends in Angular-Anwendungen

- Streaming von Antworten & visuelles Reasoning in der UI

Email: info@entwickler-akademie.de

Generative AI, Angular, Prompt Engineering, RAG, LangChain, LangGraph, TypeScript, AI-Integration, AI-UX, Streaming APIs, Obsidian, Frontend-Entwicklung, Enterprise AI, KI im Frontend, Developer-Portal, AI-Prototyping, Reasoning-UI, MCP-Server, Wissensmanagement, LLM-Anbindung, KI-gestützte Anwendungen

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Informatik Ausbildung, Lehrgänge

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Currently, a paradigm shift is taking place from human interpretation of results towards machine interpretation. The long-term vision here is to automate the benchmarking process further to enable machines to automatically learn the properties of algorithms. This requires a more rigid benchmarking process with all assumptions and design decisions made explicit and accessible for machine interpretation.

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Wissenschaftliches Rechnen und Datenwissenschaft

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This seminar brings together researchers from diverse backgrounds in order to study these questions. Which applications are most likely for an adversary to gain from exploiting machine learning models? Are there particular attacks that will be more prevalent than others? What defense strategies are possible—and practical? What is the cost of these defenses to utility?

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Informationssicherheit und Datenschutz

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

In this meeting of the Research Training Group "Neuroexplicit Models of Language, Vision, and Action", we will discuss current research and trends in combining neural and human-interpretable models. These model architectures have complementary strengths with respect to generalization, robustness, and interpretability. The overall goal of the RTG is to develop novel neuroexplicit models that accurately solve tasks in natural language processing, computer vision, and action-decision making, and to investigate the theoretical and practical principles of designing effective neuroexplicit models.

International Software Architecture Qualification Board (iSAQB®)

The next Software Architecture Gathering, presented by the International Software Architecture Qualification Board (iSAQB®) in cooperation with heise medien, will take place in Berlin from November 24 to 27, 2025. Participants can expect around 45 sessions and keynotes as well as 8 full-day workshops with well-known international speakers from the software architecture scene.

Tel.: [+49 (0)331-951367-10];     Email: fdeutsch@isaqb.org

software architecture, software development, AI

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Inductive programming (IP) research – also called inductive program synthesis – is concerned with learning computer programs from data, typically input/output examples. It incorporates many areas of computer science, especially machine learning, automated reasoning, program verification, programming language theory, and software engineering. IP also has strong relations to research outside computer science, notably in cognitive science, where it can help build models of human inductive learning and intelligent tutoring systems for programming education. In industry, IP supports tools for end-user programming such as the Microsoft Excel plug-in FlashFill.

Softwareentwicklung,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar addresses research gaps in the continual assessment of AI systems amid post-deployment changes in requirements, user-specific objectives, deployment environments, and the AI systems themselves.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Recent years have seen the emergence of a number of research groups that aim to advance quantum computing and to develop a skilled quantum software workforce. A particular challenge that must be overcome for safe quantum computing at scale is the creation of robust, expressive, efficient, and tractable formal verification tools. Since there is currently no event dedicated to this pursuit, the first goal of this Dagstuhl Seminar is to bring together a dedicated community of researchers in a single venue. This will give participants an opportunity to identify and discuss the most pressing challenges and promising directions for quantum programming and verification.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The study of clustering problems dates back several decades, and has led to the adaptation of versatile and powerful algorithm design techniques. In recent years, there has been a surge of activities in the study of clustering problems from different computational vantage points, leading to various new techniques for the development of approximation algorithms. These include new algorithm prototypes that are applicable to sublinear models, and geometric tools to deal with the challenges of high dimensionality. Each of these strands of research focuses on some challenge faced in modern applications involving massive and rapidly evolving data sets, and attempts to design clustering algorithms that overcome this challenge. This had led to a series of recent results on dynamic, online, streaming and massively parallel clustering, as well as on designing clustering algorithms whose outputs are fair, robust, and differentially private. The seminar aims to bring together researchers working on clustering problems from these divergent perspectives.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Benutzerschnittstellen, User Experience, Virtuelle Realität

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

AI is transforming computer security in ways that have significant potential to disrupt the effectiveness of current defensive standards. The vulnerabilities of the AI systems themselves, along with their potential use as offensive tools, introduce a new dimension to the threat modeling of computer systems. As AI models increasingly power autonomous agents, this attack surface continues to expand, giving rise to novel threats that impact both society and industry. At the same time, AI models and autonomous agents could also serve as transformative tools for developing advanced defensive techniques. The rapid pace of AI development creates significant uncertainty about what will be required to defend against AI-based attacks and how to devise autonomous cyber defenses. By reducing reliance on manual intervention and integrating with existing defense mechanisms, AI defensive systems may offer new ways to counter attacks and mitigate threats. This Dagstuhl Perspectives Workshop aims to develop a systematic understanding of how AI agents can be used in both offensive and defensive security.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Human-Computer Interaction (HCI) is undergoing a profound epistemological shift. For decades, the field has developed a rich repertoire of research methods informed by its interdisciplinary origins. These methods have enabled HCI researchers to explore phenomena across a wide range of domains—from desktop work environments to everyday life—with approaches that span controlled experiments, ethnographic fieldwork, and design interventions. However, the increasing integration of artificial intelligence (AI), and particularly generative AI (genAI), into both interactive systems and research workflows is disrupting the foundational assumptions behind these methods. This Dagstuhl Seminar invites participants to examine how HCI research methods must adapt in light of these developments—and what new opportunities and risks this transformation entails.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

music information retrieval; audio signal processing; deep learning; open source; user interaction and interfaces

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Energy; Critical Infrastructure; Explainable AI; Machine Learning

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH