Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
The Manila Times

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...
IEEE

In-Hardware Training Chip Based on CMOS Invertible Logic for Machine Learning

Abstract: Deep Neural Networks (DNNs) have recently shown state-of-the-art results on various applications, such as computer vision and recognition tasks. DNN inference engines can be implemented in ...
IEEE

Enhanced Short-Term Wind Power Prediction via an Innovative Multitask Learning Framework Integrated With Fusion Model-Based Data Cleansing

Abstract: To enhance the training efficiency and prediction accuracy of multistep short-term wind power prediction (WPP) and to tackle the challenge that data cleaning with only a single model fails ...