ML FORWARD SUMMIT

Topics & Tracks

Explore 16 session areas, from deep learning, NLP and computer vision to MLOps, responsible ML and real-world applications.

February 2-3, 2027 / Berlin, Germany

LEARNING THEORY & OPTIMISATION

DEEP LEARNING & REPRESENTATION LEARNING

NLP & LARGE LANGUAGE MODELS

COMPUTER VISION & PERCEPTION

GENERATIVE & MULTIMODAL LEARNING

REINFORCEMENT LEARNING & DECISION-MAKING

GRAPH LEARNING & RECOMMENDER SYSTEMS

TIME SERIES & FORECASTING

CAUSAL & PROBABILISTIC MACHINE LEARNING

DATA-CENTRIC ML & SYNTHETIC DATA

MLOPS & PRODUCTION ML SYSTEMS

EFFICIENT ML & EDGE AI

FEDERATED & PRIVACY-PRESERVING LEARNING

EVALUATION, SAFETY & RESPONSIBLE ML

ML FOR SCIENCE, HEALTH & CLIMATE

ROBOTICS & EMBODIED LEARNING

Select a topic for its scope in the programme, or explore the contribution requirements.

CALL FOR PAPERS