Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique

On October 28, 2025, the little-known AI startup Manifest AI introduced a radical alternative. Their new model, ...

Jun Ye Advances Neural Interface Technology Through Brain–Computer Systems and Generative AI

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
IEEE

A Temporal Attention-Based SARIMA-BiLSTM Residual Learning Model Tuned by Grey Wolf Optimizer for Parallel Urban Traffic Forecasting

Abstract: Accurate and timely traffic forecasting is essential for ensuring the efficiency, reliability, and safety of modern transportation networks. However, urban traffic exhibits high levels of ...

Large Language Models Get All the Hype, but Small Models Do the Real Work

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that are winning the day.
IEEE

Informer-LSTM-FECAM Model for Coastal Dynamic Data Estimation

Abstract: This paper proposes a deep learning-based approach for time series prediction to address the limitations of traditional models in handling such data. The article primarily introduces the ...