Interesting Engineering

‘World’s first AI-defined’ hybrid EV gets battery boost, charges 80% in 12 mins

Xpeng made its official entry into the range-extended EV market with the debut of its Kunpeng super electric system last ...
Semiconductor Engineering

Algorithm–HW Co-Design Framework for Accelerating Attention in Large-Context Scenarios (Cornell)

Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell ...

New deep learning model enhances roadside air pollutant forecasting accuracy

A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
IEEE

Sparse Autoencoder-Based Deep Learning Approach for Enhancing End-to-End Communication System Performance

Abstract: Deep learning is increasingly adopted in future communication systems to meet requirements within constrained resources. End-to-end (E2E) autoencoder models leverage deep neural networks for ...
Phys.org

Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Scientific Research Publishing

Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Tang, J., et al. (2016) Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
Fox News

Christian worship event in deep blue city faces fierce backlash from LGBTQ leaders

A Christian worship leader will hold a concert in Seattle this weekend, even as LGBTQ activists urge city leaders to revoke his permit. Sean Feucht, a Christian singer and conservative activist, is ...
IEEE

Online Public Opinion Situation Assessment by Deep Sparse Autoencoder and Time-Series Modeling Convolutional Neural Network

Abstract: We have developed an innovative framework for analyzing online public sentiment, referred to as the Online Public Opinion Situation Assessment (OPOSA) model. This model employs Deep Sparse ...