TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

A High-Accuracy Probabilistic-Based Sigmoid Approximator Incorporating Memory-Saving and Time-Efficient Strategies

Abstract: The sigmoid function, as a widely used activation function in neural networks, has gained much attention for its approximation and associated usage in edge devices. A recent study applied ...
IEEE

Sigmoid-Function-Based Feedback Linearization Random Selection Control for Cascaded H-Bridge Multilevel Inverters

Abstract: To improve the steady-state and dynamic performance of cascaded H-bridge multilevel inverters (CHBMIs) and achieve power balance, this paper proposes a control method based on the sigmoid ...
GitHub

Nav-R1: Reasoning and Navigation in Embodied Scenes

Nav-R1 is an embodied foundation model that integrates dialogue, reasoning, planning, and navigation capabilities to enable intelligent interaction and task execution in 3D environments. Embodied ...
GitHub

RynnVLA-002: A Unified Vision-Language-Action and World Model

RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...