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 ...
eLife

Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Forbes

The Rise Of Algorithmic Trading: How AI Is Reshaping Financial Markets

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...
Scientific Research Publishing

Li, J., Cheng, J., Shi, J. and Huang, F. (2012) Brief Introduction of Back Propagation (BP) Neural Network Algorithm and Its Improvement. In: Jin, D. and Lin, S., Eds ...

摘要: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is detrimental ...
EurekAlert!

SEOULTECH researchers develop VFF-Net, a revolutionary alternative to backpropagation that transforms AI training

VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward ...
techxplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
The Conversation

TikTok’s new owner puts app’s algorithm in the spotlight – a social media expert explains how the ‘For You’ page works

Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. TikTok announced on Jan. 22, 2026, that it has formed TikTok ...
IEEE

Active Data Routing Based on Reward Backpropagation-enabled Multi-Agent Q-learning towards SDN-enabled Wireless Buoy Networks

Abstract: Advancements in Wireless Buoy Network (WBN) have significantly accelerated the development of marine exploitation and monitoring, acting as a relay between underwater and surface networks in ...