Computational models predict neural activity for re-establishing connectivity after stroke or injury

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
EurekAlert!

HKUST pioneers computational models for transregional neural activity to re-establish damaged neural connectivity, offering new hope to patients

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major ...
Medical Dialogues

AI–Based Model for Early Prediction of Preeclampsia Using First-Trimester Biomarkers — Cureus Study

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
European Medical Journal

Lightweight Neural Networks Improve Lung Cancer Diagnosis

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
PsyPost on MSN

Hippocampal neurons shift their activity backward in time to anticipate rewards

Recent experimental findings suggest that the hippocampus, the brain region primarily associated with memory and navigation, actively reorganizes its neural patterns to anticipate future events.
Risk.net

Demand deposit balance prediction models under the interest rate risk in the banking book guidelines: an empirical analysis integrating time-series models and machine learning ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification BEIJING, Feb.06, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...