2025 International Conference on Advanced Machine Learning and Data Science (AMLDS 2025). This conference will take place from July 18th to 20th, 2025, at Tokyo International University in Japan. The event is organized by Tokyo International University and co-sponsored by various esteemed institutions including the National Institute of Information and Communications Technology, Japan. AMLDS 2025 aims to bring together researchers, academicians, and professionals from around the globe to present and discuss their latest findings in machine learning, data science, and related fields.
The Antenna Measurement Techniques Association (AMTA) is a non-profit, international organization dedicated to the development and dissemination of theory, best practices and applications of antenna, radar signature and other electromagnetic measurement technologies.
This symposium is dedicated to the understanding and characterization of workloads that run on all types of computing systems.
DTX London is for the people making real change happen - choosing the right tech, rolling it out, and getting results.
In 2025, ESG professionals in life sciences face more complexity and more pressure than ever before.
The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions.
The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions (also referred to as Dempster-Shafer theory, or evidence theory), a formalism for reasoning with uncertainty.