Microsoft

Detecting backdoored language models at scale

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
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

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
IEEE

Hybrid CNN-LSTM Model for EEG-Based Emotion Recognition: A Comparative Analysis Using DEAP and SEED Datasets

Abstract: EEG-based emotion recognition experiences complications due to its high-dimensionality and often noised signals and limited labeled data. Like many deep learning approaches, hybrid CNN-LSTM ...
IEEE

Word Level Ethiopian Sign Language Recognition Using Hybrid CNN-LSTM Model

Abstract: In this research, we propose a hybrid CNN and LSTM model for word-level Ethiopian sign language recognition. The recognition system has four major components: preprocessing, feature ...