Frontiers

Brain Wide Coordination of Neural Ensembles and Network Rhythms in Memory

The field of systems neuroscience increasingly seeks to understand how distributed neural populations interact to support complex cognitive functions such ...

AI-designed diffractive optical processors pave the way for low-power structural health monitoring

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...

Beyond Binary: Qubic’s Neuraxon 2.0 Introduces a Trinary Architecture for Continuous, Adaptive AI Systems

Fort Lauderdale, Florida , March 02, 2026 (GLOBE NEWSWIRE) -- Qubic has just released Neuraxon 2.0, a bio-inspired neural computation framework built on trinary logic and continuous-time processing, ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

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

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Frontiers

Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm

Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...
Medical Xpress

AI model predicts neural network degeneration patterns in ALS progression

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
IEEE

Work Function Variation Effect Prediction on Heterojunction Tunnel FET Using Multi-Layer Perceptron-Based Neural Network Model

Abstract: This paper proposes a multi-layer perceptron (MLP)-based neutral network (NN) model to efficiently and reliably predict the effect of metal gate work function variation (WFV) on the ...
Scientific Research Publishing

Namdari, A. and Durrani, T.S. (2021) A Multilayer Feedforward Perceptron Model in Neural Networks for Predicting Stock Market Short-Term Trends. Operations Research Forum, 2 ...

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...
Engadget

DeepMind releases a new weather forecasting model for more accurate predictions

Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...
SDxCentral

AI agents and MCP: Do future networks need model context protocol?

Released late last year by AI firm Anthropic, model context protocol (MCP) is an open standard designed to standardize the way AI systems, particularly large language models (LLMs), integrate and ...