Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
IEEE

Load Frequency Control of Multi-Microgrids Based on Deep Deterministic Policy Gradient Integrated With Online Learning

Abstract: The integration of wind power into microgrids significantly increases the complexity of the microgrid’s dynamical behavior and introduces higher levels of uncertainty. This paper addresses ...
GitHub

Reinforcement learning in portfolio management

Motivated by "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" by Jiang et. al. 2017 [1]. In this project: Implement three state-of-art continous deep ...
GitHub

Gradient Similarity Surgery in Multi-task Deep Learning

Official implementation of the SAM-GS optimizer for multitask learning ArxIv Comparison of different MTL methods for 20000 steps.\ Top row: The loss trajectories of different MTL methods in the loss ...
Wired

A Deep Learning Alternative Can Help AI Agents Gameplay the Real World

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...
Frontiers

Federated learning-based multimodal approach for early detection and personalized care in cardiac disease

Introduction: Heart disease remains a leading cause of mortality globally, and early detection is critical for effective treatment and management. However, current diagnostic techniques often suffer ...