The increasing influx of real-time data from the physical world necessitates collaboration between machine learning, control theory, and optimization. Control theory's model-based approach must adapt to accommodate the abundance and scope of data. Moving forward, machine learning must overcome the challenge of advancing beyond pattern recognition.

ICIIP is a globally recognized event for researchers and practitioners in the field of Intelligent Information Processing.

The conference aims to showcase pioneering research in areas such as Signal Processing and Communication Techniques.

Authors are invited to submit their papers for an opportunity to be featured in prestigious journals. Don't miss this chance—submit now!

The Conference on AI and Music Creativity brings together a diverse community working on the application of AI in music practice. With topics ranging from performance systems to machine listening, the event includes research papers, performances, demos, and keynote presentations by industry experts.

Faraday Discussions, renowned for its pivotal role in advancing physical sciences, is proud to present the Data-Driven Discovery in the Chemical Sciences Faraday Discussion 2024. This event focuses on leveraging big data, machine learning, and artificial intelligence to propel new discoveries within chemistry.

We aim to delve deep into how these cutting-edge technologies can transform chemical research and foster innovative breakthroughs. This gathering seeks to unite various chemistry communities, sparking new connections, fresh ideas, and collaborative research efforts. Don't miss this opportunity to be at the forefront of chemical innovation and data-driven research.