Konferenzen  >  Mathematik  >  Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen  >  Niederlande

This PhD School is part of the broader CWI Research Semester Programme on Learning Enhanced Optimization, contributing to its overarching mission of advancing cutting-edge research in theoretical computer science, operations research and beyond.

Kurse und Veranstaltungen für Studenten der Mathematik,    Optimierungsrechnung, Entscheidungsunterstützung

Generative Artificial Intelligence (GenAI) is fundamentally reshaping our understanding of human-machine interactions. For the first time, machines can generate coherent text, create visually compelling images, produce short videos, and even complete unfinished musical compositions. The widespread adoption of this kind of AI is changing creative production and consumption, reigniting debates on the nature of creativity and its evolving trajectory. AI-driven prompting has introduced new opportunities, empowering individuals from diverse backgrounds—including those without technical expertise—to engage in creative processes in unprecedented ways. However, the rise of GenAI also raises pressing concerns, including job displacement, labour inequities, ethical dilemmas, and a huge concentration of computational resources in a few Big Tech companies.

Next Business Media

After a successful inaugural edition in 2025, the Data Science Conference (DSC Next 2026) is back for its 2nd edition, scheduled to take place from March 24–26, 2026, at NH Amsterdam Zuid, Netherlands. This landmark event continues to establish itself as one of Europe’s key platforms for connecting data science, machine learning, and AI professionals from academia and industry. With a broader agenda, expanded workshops, and more international participation expected, DSC Next 2026 promises to be even more impactful, offering three full days of insight, innovation, and interaction.

Diwakar Chandra Gour, Event Manager;     Tel.: [+91 84483 67524];     Email: diwakar@datasciencenext.com

Data Ethics and Privacy, Big Data Analytics, Machine Learning and AI Applications, Data Visualization, Natural Language Processing, Predictive Analytics, AI in Healthcare, Finance, and Industry, Data Governance and Security

Wissenschaftliches Rechnen und Datenwissenschaft,    Mustererkennung und Bildverarbeitung, Maschinelles Sehen