Konferenzen  >  Informatik  >  Implementierung und Anwendungen von künstlicher Intelligenz

Global Insight Conferences

Join operations, transformation, data and AI leaders from leading global brands for one focused day of real-world insight, actionable frameworks and strategic clarity. Hear from 25+ expert speakers from organisations including EasyJet, Centrica, NatWest, Mars, Virgin Red, Novartis, Scania and more as they reveal how they’re embedding AI responsibly to boost efficiency, reduce costs and empower people.

Tel.: [02034792299];     Email: info@aiautomationconference.com

Ethical and responsible AI strategy, Governance, compliance and regulation, Workforce transformation and upskilling, ROI and value-driven automation, Data privacy and intelligent automation, Future trends and emerging technologies

Wirtschaftswissenschaft, Unternehmen und Marketing,    Berufliche Laufbahn und Management

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.

entwickler.de Akademie

Tauche ein in die Welt der generativen Künstlichen Intelligenz und lerne, wie du das volle Potenzial von GenAI direkt im Frontend deiner Angular-Anwendungen nutzen kannst – ganz ohne komplexe Backend-Setups. In unserem praxisnahen Bootcamp zeigen wir dir moderne AI-Workflows wie Reasoning, RAG und Agenten verständlich und direkt anwendbar. An zwei intensiven Tagen bekommst du einen kompakten Einstieg in die Grundlagen von GenAI, lernst, wie du AI clever ins Frontend integrierst und wie du die User Experience für deine Anwendungen optimal gestaltest. Unser Ziel: Du gehst direkt fit für die praktische Umsetzung nach Hause – egal ob du AI-Neuling bist oder schon Erfahrung mit Angular hast. Das Bootcamp richtet sich an Frontend-Entwickler:innen, Webentwickler:innen, Softwarearchitekt:innen, UX-/UI-Designer:innen, Technical Leads und alle, die AI-basierte Anwendungen praxisnah und benutzerzentriert gestalten wollen. Besondere Vorkenntnisse in Künstlicher Intelligenz brauchst du nicht – Neugier und Motivation reichen völlig aus. Mehr Infos zu Inhalten, Agenda und Anmeldung findest du auf unserer Website. Schau vorbei und lass dich inspirieren!

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

Generative AI, Angular, Frontend-Entwicklung, AI-Integration, GenAI, RAG, Reasoning, AI-Agenten, User Experience, Webentwicklung, KI Bootcamp, Praxisworkshops, AI-Neulinge, Softwarearchitektur, UX/UI Design, Technical Leads, AI-gestützte Anwendungen, JavaScript, Frontend-Workflows, AI-Funktionen

Isaac Newton Institute for Mathematical Sciences, Cambridge

This two-day workshop on Reinforcement Learning for Science: Discovery and Automation, is a follow-up event to the Isaac Newton Institute satellite programme “Bridging Stochastic Control and Reinforcement Learning.” The workshop will bring together leading experts from academia and industry to demonstrate how tailored reinforcement learning (RL) techniques can accelerate scientific discovery and drive engineering automation. It will feature invited talks and panel discussions showcasing how RL can be effectively adapted and integrated into workflows spanning medicine, the physical sciences, robotics, and complex engineering systems. By highlighting practical applications and fostering interdisciplinary dialogue, the workshop aims to catalyze new collaborations and promote the broader adoption of RL in high-impact scientific and engineering contexts.

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

SEIT Lab, Department of Computer Science, University of Cyprus

Tel.: [+35722892693];     Email: george@ucy.ac.cy

Human-centered AI methods, approaches, and systems • Explainable AI methods • Democratization of AI • Persuasive technologies in IUI • Privacy and security of IUI • Knowledge-based approaches to user interface design and generation • User modelling for intelligent interfaces • User-adaptive interaction and personalization • IUI for crowd computing and human computation • Human control in daily automations • Trust and reliance in intelligent systems Computational innovation • Interactive machine learning • Human-in-the loop AI testing and debugging • Human-centered recommendation and recommender systems • Generative models • Human-in-the-loop reinforcement learning • Intelligent user interfaces for generative AI Innovative User Interfaces • Affective interfaces • Intelligent aesthetic interfaces • Intelligent collaborative interfaces • Intelligent AR/VR interfaces • Intelligent visualization and visual analytics • Intelligent wearable and mobile interfaces • Intelligent tangible interfaces Intelligent Multimodal Systems • Embodied agents • Multimodal AI assistants • Intelligent multimodal interfaces Intelligent Applications • Education and learning-related technologies • Healthcare and wellbeing • Automotive • Assistive technologies • Entertainment • Workplace happiness • Social media • Internet of Things (IoT) • Smart homes Large Language Models and Agentic AI • End-user interaction with LLMs, agents, and multimodal models (e.g., chatbots, image generation) • LLMs and agents in the workplace • Human-agent interaction and multi-agent systems • Bias in LLMs and agents • The effects of LLMs and agents use on creative tasks • Personalized user interaction with LLMs and agents • Prompt engineering • User control and steering of LLMs and agents (e.g., RLHF, chaining, instruction tuning) Evaluations of Intelligent User Interfaces • User experiments and studies • Reproducibility (including benchmarks, datasets, and challenges) • Meta-analysis • Mixed-methods evaluations

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.

Izmir Katip Celebi University & Nevsehir Haci Bektas Veli University

Six Years at the Forefront of Science and Future Technology. For the past five years, the International Artificial Intelligence and Data Science Congress (ICADA) has been successfully organized under the leadership of the İzmir Kâtip Çelebi University (İKÇÜ) Artificial Intelligence and Data Science Application and Research Center, establishing itself as a prestigious brand in the field. This year, we are proud to present the 6th ICADA, hosted by Nevşehir Hacı Bektaş Veli University (NEVÜ) in the inspiring atmosphere of Cappadocia. Artificial intelligence and data science have evolved beyond mere technical disciplines to become the fundamental driving forces reshaping the paradigms of the modern world from engineering to health, and from social sciences to the arts. Our congress aims to foster interdisciplinary interaction, pave the way for transforming theoretical knowledge into practical applications, and encourage knowledge sharing on a global scale. As the architect of this organization, İzmir Kâtip Çelebi University (İKÇÜ) Artificial Intelligence and Data Science Application and Research Center continues to guide the academic ecosystem not only through this congress but also through the “Journal of Artificial Intelligence and Data Science” (JAIDA), which contributes high-quality research to scientific literature, as well as through numerous workshops and R&D projects conducted throughout the year. We are honored to welcome distinguished scientists and industry representatives to join us on this journey to expand the frontiers of science and design the future today.

Event Secretariat;     Email: icadacongress@gmail.com

Artificial Intelligence, Data Science, Cyber Security, Basic & Applied Science, Engineering IoT & Industry 4.0, Finance & Economy, Communication Technologies, Business & Management, Art & Design & Construction, Law & Legal Technologies, Social Sciences, Media & Social Life, Climate & Energy, Education, Technology, Smart City, Information, Health

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.

Lake Como School of Advanced Studies (LCSAS)

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Netzgemeinschaften und Gesellschaftliche Aspekte der Informationstechnologie

The 4th International Conference on Advanced Sensing and Intelligent Systems (ICASIS 2026), scheduled to take place in Hong Kong, China, from May 16 to May 18, 2026

Email: cfp@icasis.org

Advanced Sensing Technologies for Healthcare, Intelligent Sensing for Environmental Monitoring, Intelligent Data Analysis and Processing for Sensor Networks, IoT, Big Data Analytics and AI

SEIT Lab, Department of Computer Science, University of Cyprus

Tel.: [+35722892693];     Email: george@ucy.ac.cy

Autonomous Agents, Multiagent Systems

MIPRO Croatian Society

Artificial Intelligence (AI) has been an important area of research in recent years, with rapid and significant advances occurring every month. AI involves not only the development of machine learning models, but also their integration into various technical systems for automation and the expansion of human knowledge. The conference will address topics related to the underlying technologies of AI systems, methods and tools, as well as all kinds of applications. Original scientific papers, reviews, and technical papers on various aspects of AI systems are welcome.

Email: alan.jovic@fer.hr

Artificial Intelligence, Artificial Intelligence in Industry, Machine Learning & Deep Learning, Signal, Image, and Video Processing & Analysis, Natural Language Processing & Text Analysis, Knowledge-Based Systems, Formal Methods & Neuro-Symbolic Artificial Intelligence, Hardware Architectures for Artificial Intelligence, Trustworthy Artificial Intelligence & Explainability, Soft Computing & Optimization

Mustererkennung und Bildverarbeitung, Maschinelles Sehen,    Soft Computing, Evolutionäre Algorithmen, metaheuristische Optimierung, Fuzzylogik

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Recently a variety of state-of-the-art methods in machine learning and artificial intelligence have been developed motivated by techniques from Stein’s method, a successful tool from the field of probability theory. These methods have enabled efficient analysis of the large amounts of data being produced in several scientific fields, like neuroscience, information technology, and finance. Motivated by this success, there has been an ever increasing interest in exploring further connections between Stein’s method and machine learning. The focus of this workshop is to consolidate isolated efforts and develop a theoretically principled inferential and computational framework via Stein's method for analyzing increasingly complex models and data objects. This workshop is intended to bring together prominent and promising young and diverse researchers working on Stein’s method and machine learning, and to charter the path for future development in the field.

QCon Conferences

The AI conference for senior developers, architects, and engineering leaders. Move beyond the hype and learn how real teams accelerate the entire software lifecycle with AI. Get blueprints for building enterprise-scale, resilient, and secure AI systems.

Marketing Team;     Email: maria.popa@c4media.com

artificial intelligence, software engineering, software development, software architecture

Softwareentwicklung,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

ECV International

This conference will delve deeply into the latest trends, innovative technologies, and breakthrough advancements in the thermal management of electric and hybrid vehicles in Europe. It will provide strategic guidance and collaboration opportunities for industry players and stakeholders. Through high-level keynote sessions and technical exchanges, the event aims to help companies optimize their R&D strategies, accelerate technological innovation, and enhance overall competitiveness. Additionally, dedicated exhibition zones will facilitate face-to-face interactions, product demonstrations, and resource sharing among industry players, fostering stronger cooperation and resource integration. With comprehensive content, cutting-edge trends, and diverse platforms for dialogue, the conference is poised to promote the rapid advancement of thermal management technologies in Europe, providing a solid technical foundation for the widespread adoption and application of future new energy vehicles. Ultimately, this event will serve as a catalyst for industry innovation, collaboration, and mutual benefit, playing a vital strategic role in advancing sustainable automotive development and achieving carbon neutrality goals globally.

Tel.: [8613271915990];     Email: britney@ecvinternational.com

Fahrzeugbau. Strassennetz und Eisenbahn,    Halbleiterphysik

University of Salford

The Economic Perspective on Artificial Intelligence (EPEAI) is an international academic conference series focusing on the economic, business, and policy implications of artificial intelligence (AI). The series brings together researchers, policymakers, and practitioners to analyse how AI technologies affect firms, markets, labour, and governance. Founded in 2023 by Hochschule Ruhr West (HRW) in Mülheim an der Ruhr, Germany, the EPEAI has since expanded to include partner institutions in South Africa and the United Kingdom. It is regarded as one of the first recurring scientific formats dedicated exclusively to the economic perspective on AI.

Email: info@epe.ai

New and experimental Developments in AI, (AI-driven) Entrepreneurship and AI-driven Business Models and Strategies, AI in Business Administration and Processes e.g. Finance; Accounting; Controlling; Human Resources, Marketing, Production, Supply Chain Management, Quality and Sustainability Management. GenAI; explainable AI and Decision-making; Risk and Opportunities of AI-Agents, Ethics; Regulation and Policy of AI, Digital Transformation of Skills and Jobs, Infrastructure; Energy and Finance supply and AI Competitiveness, Micro- and Macroeconomic framework: Competition; Productivity and Markets

The Minerals, Metals & Materials Society (TMS)

The 4th World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2026) is the fourth event of its kind to focus on the role of artificial intelligence (AI) in materials science and engineering and related manufacturing processes. AIM 2026 will convene stakeholders from academia, industry, and government to address key issues and future pathways.

Metallurgie und Werkstoffkunde,    Festkörperphysik

Global Insight Conferences

The Responsible AI Conference 2026 is a one-day, practitioner-led event for senior leaders responsible for AI governance, risk, compliance and implementation.

The agenda covers AI regulation, ethical AI usage, data privacy, bias mitigation, governance frameworks, agentic AI assurance and sustainable AI adoption.

With 28+ expert speakers, interactive panels and dedicated networking, delegates leave with practical strategies to implement AI responsibly and at scale.

Organiser;     Tel.: [02034792299];     Email: info@theresponsibleaiconference.com

responsible AI conference 2026, AI governance conference London, ethical AI event, AI compliance conference, AI risk management, EU AI Act conference, agentic AI governance

The Learning Ideas Conference

Co-hosted by The Learning Ideas Conference (TLIC) and the Laboratory of New Technologies and Distance Learning, University of Ioannina, the Summer Course: “AI, Teaching, and Learning” in Ioannina, Greece brings together researchers, educators, and practitioners to explore how AI is reshaping education. Featuring Dr. David Guralnick (Kaleidoscope Learning & Columbia University) and expert faculty, the course offers hands-on activities, discussions, on-site tours, and practical insights into AI’s potential to improve learning outcomes and teaching practices. Our interdisciplinary faculty covers education, AI, cognitive science, UX design, VR/AR/XR, museum studies, and more!

The Learning Ideas Conference Team;     Tel.: [+1 646-481-3510];     Email: info@learningideasconf.org

summer course, summer course in Europe, Europe summer course, summer course in Greece, teaching and learning, artificial intelligence, learning innovation, workplace learning, higher education, online learning, elearning, edtech, educational technology, instructional design, digital learning, learning experience design, AI in education, learning sciences, immersive learning, VR/AR/XR in education, gamification, museum studies, museum education cultural heritage

Ausbildung,    Computergestütztes Lernen

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

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

International Telecommunication Union

Kaleidoscope 2026: AI and frontier technologies for Good is the sixteenth edition of ITU’s flagship peer-reviewed academic conference, bringing together leading voices from universities, industry, and research institutions worldwide. Kaleidoscope 2026 welcomes contributions that delve into cutting-edge research for these transformative technologies in the area of telecommunications. In particular, how Artificial Intelligence (AI), quantum technologies and others still in the research phase can facilitate the management and operation of networks.

Email: kaleidoscope@itu.int

Artificial intelligence, machine learning, embodied AI, generative AI, robotics, human-computer interaction, quantum computing, quantum networks, quantum sensing, geospatial information, geospatial AI, digital twin earth, metaverse, future mobile and wireless networks, regulation, security and privacy, education

Internet der Dinge (IoT) und Sensornetze,    Quanteninformationstheorie und Quanteninformatik

IADIS

Although the term Artificial Intelligence (AI) was coined in the 1950´s, more recently, it has been at the centre of unprecedented attention. Developments in AI technology have created much interest from all areas of society, such as Education, Business and Health. The benefits of deploying AI are being reported transversally in all sectors. Nonetheless, AI’s potential evolves hand in hand with unyielding concerns that cause restraint and limit its widespread use. The International Conference on Artificial Intelligence in Society (AIS) aims to reunite both researchers and practitioners in addressing AI most pressing questions.

Conference Secretariat;     Email: secretariat@aisociety-conf.org

Artificial Intelligence, Core AI Research and Methodologies, Machine learning and deep learning advances, Natural language processing and multimodal AI, Reinforcement learning and autonomous systems, Explainable and interpretable AI, Human-in-the-loop and hybrid intelligence systems, Edge and distributed AI architectures, AI and Security, Chatbots and virtual assistants, AI in Education, AI in Healthcare, AI in Business, Industry, and Economics, AI for the Progress of Society, AI Ethics and Legislation/Regulation

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Energy; Critical Infrastructure; Explainable AI; Machine Learning

CloserStill Media Ai4, LLC

Ai4 2026 is America’s largest artificial intelligence conference, showcasing real-world AI insights, breakthrough trends, and strategic business applications. Gathering attendees from over 90 countries, Ai4 connects 12,000+ executives, innovators, and decision-makers with 1,000+ speakers and 400+ exhibitors shaping the future of AI.

Email: info@ai4.io

Artificial Intelligence, AI, AI Agents, Edge AI, Generative AI, Multimodel AI, Quantum AI, RAG, World Models, Infrastructure, Oversight, ML Ops

Institute of Mathematics & its Applications (IMA)

AI Unlocked 2026, will bring together the brightest minds from academia, industry, and government to explore the power, promise and purpose of artificial intelligence. This two-day congress, chaired by Dr. Anjulika Salhan, a global expert in AI-driven innovation and founder of Systems Holdings, will be held at the prestigious Hyatt Regency in Birmingham. We invite you to join a dynamic community of AI pioneers shaping the future of machine learning and intelligent systems. World-class speakers from across sectors will share their research, breakthroughs, and real-world applications of AI, ranging from deep learning architectures and causal models to AI in finance, healthcare, governance, and regulation.

IEEE

IEEE International Conference on AI and Security for Industrial IoT Systems (AI-SIIS 2026) is a global conference that brings together scientists, engineers, industry leaders, and policymakers to explore the latest innovations in artificial intelligence and industrial electronics related technologies. It is in collaboration with KL University and IEEE SB KLEF. It is technically sponsored by IEEE IES (Industrial Electronics Society). It is a premier event bringing together experts, researchers, engineers, and industry leaders to explore the intersection of Artificial Intelligence (AI), cybersecurity, and the rapidly evolving field of Industrial Internet of Things (IIoT). The conference will address key challenges and innovations in securing IIoT systems, leveraging AI to enhance the resilience, autonomy, and safety of industrial environments.

Informationssicherheit und Datenschutz,    Internet der Dinge (IoT) und Sensornetze

University of York Europe Campus

The 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS'2026) invites researchers, practitioners, and innovators to explore the intersection of AI, web technologies, semantic systems, and intelligent data mining. As the web evolves into a dynamic, intelligent ecosystem powered by machine intelligence, knowledge graphs, and agentic systems, WIMS'2026 provides a platform to discuss cutting-edge research, applications, and societal impacts. WIMS'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 18th International Symposium on Intelligent Distributed Computing (IDC). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

WIMS Secretariat;     Email: contact.for.more.info@proton.me

Track 1: Web Intelligence & Agentic AI, Track 2: Machine Intelligence & Learning Systems, Track 3: Semantics & Knowledge Technologies, Track 4: Human-Centered Web Intelligence, Track 5: Web Infrastructure & Systems, Track 6: Applications & Societal Impact.

Informations & Wissensmanagement, Big Data Computing,    Datenbanktechlologie, Suchmaschinen und Data-Mining

University of York Europe Campus

The 18th International Symposium on Intelligent Distributed Computing (IDC'2026) provides an open forum for enhancing the collaboration between researchers, lecturers, and students from Intelligent Computing and Distributed Computing communities. Intelligent Computing covers a hybrid palette of methods, techniques and their applications ranging from classical artificial intelligence, information and data sciences, multi-agent technologies or computational intelligence to more recent trends such as swarm intelligence, bio-inspired computation, cloud computing, machine learning or social/ cyber-physical trust and security. Distributed Computing develops methods and technology to build complex computational systems composed of collaborating software components scattered across diverse computational elements. IDC'2026 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research ideas and their application to great variety of industrial cases. IDC'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

IDC Secretariat;     Email: contact.for.more.info@proton.me

Cloud Computing, Distributed Swarm Robotics Systems, Ephemeral and Unreliable computing, Intelligent Distributed Applications, Intelligent Distributed and High-Performance Architectures, Intelligent Distributed Knowledge Representation and Processing, Intelligent Transportation Systems, Internet of Things, Nature-inspired Methods for Supervised and Unsupervised Data Mining, Networked Intelligence, Organization and Management, Parallel Metaheuristics for Optimization.

Edge/Cloud-Computing,    Informations & Wissensmanagement, Big Data Computing

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Representation learning is at the heart of a paradigm shift in machine learning, driving many of today’s most advanced artificial intelligence (AI) systems. Representation learning transforms raw data into meaningful features that machines can use to perform a wide range of tasks, such as image recognition, content recommendation, and text generation. However, a key challenge remains: ensuring that these representations are identifiable, a property that is fundamental to reliably deploying AI systems in real-world applications. Although identifiability is critical to developing trustworthy AI systems, the current mathematical understanding of representation learning in general, and identifiability in particular, is extremely limited. To address this gap in understanding, Banff International Research Station will host a workshop focusing on principled approaches for learning identifiable representations and understanding the properties of such representations.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Keystone Symposia

The Keystone Symposium on Precision Genome Engineering will highlight transformative advances that are reshaping the future of genetic medicine by pushing the boundaries of what is possible with genome editing technologies. As the field evolves from proof-of-concept to therapeutic application, critical questions around efficiency, specificity, safety, delivery, and scalability remain. This conference will address these gaps by convening world leaders and emerging innovators to explore next-generation tools, delivery strategies, integrative technologies, and clinical findings that are redefining genome engineering. What sets this symposium apart is its deep focus on the precision and evolution of genome editing itself—ranging from mechanistic insights to therapeutic design—paired with timely discussions on how AI and delivery systems are accelerating discovery. Attendees will leave with an overview of where the field is headed and how to contribute to its next breakthroughs. This meeting will be held jointly with Targeted Delivery of Nucleic Acid Medicines.

Genetics, Genomics, RNA, CRISPR, Translational Research, Artificial Intelligence, Gene Delivery, Molecular Biology

Molekularbiologie,    Genomforschung und Bioinformatik