News Nation English

From Algorithms to Intelligence: How AI Is Reshaping Quantitative Finance Education

One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...
Analytics Insight

Bridging the Energy Gap: AI Solutions for a Sustainable Future

We exist in an era of gigantic expectations. Our cities are growing, our grids are old, our climate is shifting, and our ...

Powering Shanxi with Computing | Taiyuan: AI Computing Drives 'Green Data Centers' to Save Energy and Reduce Carbon Emissions, Showcasing Technological Strength

In the era of the digital economy, computing power is the core productivity, and the data centers and communication rooms that produce this computing power are becoming the forefront of technological ...
Business Wire

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting Arrhythmias

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...
Scientific Research Publishing

Li, W. and Becker, D.M. (2021) Day-Ahead Electricity Price Prediction Applying Hybrid Models of LSTM-Based Deep Learning Methods and Feature Selection Algorithms under ...

ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
IEEE

Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms

Abstract: This research proposes an explanatory deep learning-based music generation approach, where the output of a deep learning model is validated through a set of predefined musical rules, with a ...
GitHub

Cryptocurrency Trading Bot with Ensemble Deep Reinforcement Learning

cryptobot/ ├── models/ │ ├── ensemble/ # Ensemble agent implementations │ ├── lstm/ # LSTM specialist agents │ └── transformer/ # Transformer specialist agents ├── environments/ # Trading environment ...
Scientific Research Publishing

Hybrid PINN-LSTM Model for River Temperature Prediction: A Physics-Informed Deep Learning Approach ()

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...