Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Researchers have developed a solar-powered, IoT-integrated robotic system that uses deep learning to detect plant diseases in real time with over 99% accuracy. The autonomous platform combines ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems and presented a deep learning-driven convolutional neural network approach ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

A scientific team from the Universidad Carlos III de Madrid (UC3M) has refined the operation of Bindi, an emotion-detection system in wearables capable of identifying fear in real-time during abuse ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...