In the new wave of AI technology applications, Guangzhou Shenzhou Lianbao Technology Co., Ltd. applied for a patent in September 2025 for a system named "An Intelligent Customer Service Dynamic Intent ...

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, ...

For decades, the search for alien intelligence has revolved around the question: if someone out there is listening, how could they hear us? A new study combining data from Penn State and NASA’s Jet ...

In clinical settings, accurately understanding patients' emotions and responding appropriately plays a critical role in improving treatment outcomes and patient satisfaction. This technology acquires ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the ...

A new brain imaging study provides evidence that deep brain stimulation of a specific brain region called the ventral anterior limb of the internal capsule (vALIC) may change how key emotional and ...

The demand for blockchain solutions is rising, driven by factors like supportive adoption, challenges in supply chain management, asset tokenization, and digital finance. In terms of technical support ...

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...

Official PyTorch implementation and pretrained models for: ResoNet: A Synergistic Deep Learning Architecture for Robust Cross-Corpus Speech Emotion Recognition This repository provides a complete ...

In the field of affective computing (Muhl C. and G., 2014), automatic emotion recognition (AER) (Stern, 2002) has gained significant attention (Kim et al., 2013; Zhang et al., 2013), especially for ...