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.
IEEE

A Hybrid LSTM-GRU Model for Stock Price Prediction

Abstract: The dynamic variation of the stock market plays a crucial role in assessing a country’s economic power and development. Modeling the chaotic fluctuations in stock prices aids investors and ...
IEEE

Hybrid Multi-Scale Deep Learning Enhanced Electricity Load Forecasting Using Attention-Based Convolutional Neural Network and LSTM Model

Abstract: Accurate electricity load forecasting is crucial for efficient grid management, resource allocation, and maintaining stability, particularly in the face of increasing climate variability and ...
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 ...
GitHub

DualGazeNet: A Biologically Inspired Dual-Gaze Query Network for Salient Object Detection

DualGazeNet is a biologically inspired Transformer framework for salient object detection, designed with dual-path processing inspired by the human visual system. It achieves state-of-the-art ...
Journal of Medical Internet Research

Nurses’ Perspectives on Evidence Dissemination Barriers and Large Language Model–Based Support: Qualitative Study Using Focus Groups and Nominal Group Technique

Background: Current evidence dissemination methods fall short of meeting clinical nurses’ needs, hindering the implementation of evidence-based nursing practice. Large language models (LLMs), with ...