Abstract: This study presents a novel perspective on multimodal deep learning for biomedical signal classification, systematically analyzing the impact of complementary feature domains on model ...

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...

Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal gland volume on routine CT scans. This new metric, the Adrenal Volume ...

Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...

It's "not a crime. It is just poor judgment," one expert said. Eight months after Defense Secretary Pete Hegseth typed up detailed military plans to attack Houthi rebel sites in Yemen then shared them ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

For almost two decades, astronomers have been trying in vain to explain extremely bright flashes of radio bursts emanating from deep space. Despite only lighting up for a tiny fraction of a second, ...

Forbes contributors publish independent expert analyses and insights. Ray Ravaglia covers education, focusing on technology and innovation. The CodeSignal Cosmo app, named for the space corgi mascot, ...

Introduction: Accurate and timely diagnosis of central nervous system infections (CNSIs) is critical, yet current gold-standard techniques like lumbar puncture (LP) remain invasive and prone to delay.

One former Air Force leader anticipates that there are a plethora of additional ways that artificial intelligence (AI) and large language models (LLMs) can assist crews in accomplishing their tasks ...