Advancements in Machine Learning: Exploring XLSTM and XLSDM

This chapter explores recent advancements in machine learning, focusing on the XLSTM and XLSDM frameworks that promise significant enhancements over traditional models. The speakers discuss innovations that improve inference speed, energy efficiency, and tackle challenges like safety and robustness in industrial AI applications. Additionally, they highlight the evolving landscape of data sourcing and model training as vital for the future of AI technology.