Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
NewsBytes

Microsoft takes on OpenAI, Google with 3 new AI models

Microsoft has launched three innovative AI models, aiming to compete directly with OpenAI and Google in model development.

Microsoft launches 3 new AI models in direct shot at OpenAI and Google

Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...
Morning Overview on MSN

Generative AI designs new polymer dielectric that passes lab tests

A research team at Georgia Tech has built what it calls the first generative AI system purpose-built for polymer design, and ...
EDN

Balun transformers: Linking balanced to unbalanced

Balun transformers remain indispensable in RF and high-frequency design, serving as the quiet interface between balanced transmission lines and unbalanced circuits. By enabling impedance matching, ...
EurekAlert!

Graph transformer model advances disease comorbidity prediction with subgraph-aware encoding

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...
IEEE

DTSF-CDNet: A Dual-Branch Encoder-Decoder Network with Differential Transformer Skip Fusion for Image Change Detection

Abstract: Change detection plays a vital role in numerous real-world domains, aiming to accurately identify regions that have changed between two temporally distinct images. Capturing the complex ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
IEEE

Medical Report Generation With Knowledge Distillation and Multi-Stage Hierarchical Attention in Vision Transformer Encoder and GPT-2 Decoder

Abstract: Automated medical report generation is a challenging task that involves synthesizing diagnostic findings and clinical observations from medical images. In this study, we propose a novel ...