110 People Who Took A Hobby To Another Level And Made Something Really Cool

We've all heard that "if you want something done right, you have to do it yourself." And that’s usually fine when it comes to ...
AZoRobotics

Detecting IoT Malware in EV Chargers with Deep Learning

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...
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) ...
IEEE

Transformer encoder driven deep learning network for single lead ECG arrhythmia’s across 21,837 records

Abstract: Cardiovascular disease is often characterised by cardiac arrhythmia, which is a major contributor to global morbidity and mortality statistics. Accurate and timely arrhythmia detection is ...

Setting New Standards in Enterprise Automation: How Venkata Pavan Kumar Gummadi is shaping AI-driven integration

Venkata Pavan Kumar Gummadi’s research on AI-driven Intelligent Document Processing via MuleSoft significantly automates enterprise workflows, enhancing accuracy and speed.
GitHub

Non-Record Universal Transformer submission. (2x Attention layers, 3 Layer MLP, depth scheduling) #1088

This run uses a shared UT-style recurrent block with two attention layers before the MLP, so the model can form circuits like induction heads before passing through the MLP. I also changed the ...
IEEE

A Novel Vision Transformer Based Multimodal Fusion Approach for Clinical MDD Diagnosis Using EEG and Audio Signals

Abstract: Major Depressive Disorder (MDD) is a debilitating mental health condition characterized by persistent sadness, anhedonia, and cognitive impairments that significantly disrupt daily ...
Hosted on MSN

Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
C&EN

Efficient Channel Attention-Gated Graph Transformer for Aero-Engine Remaining Useful Life Prediction

The rapid technological progress in recent years has driven industrial systems toward increased automation, intelligence, and precision. Large-scale mechanical systems are widely employed in critical ...