Over the past two decades, SLAM (Simultaneous Localization and Mapping) has evolved significantly, transitioning from traditional methods to deep learning and, more recently, to Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS). Since 2021, a surge of over 200 papers has reshaped the field, enabling new applications like realistic novel view synthesis. However, this rapid progress also raises challenges, such as lack of standardized benchmarks and understanding of key design choices. This workshop aims to unite researchers interested in dense neural SLAM, fostering discussion through keynotes, posters, and panels to explore emerging trends and future directions.