Abstract: Heart-disease is one of the leading cause of death around the world, precaution is only if early detection. This research focuses on the development of a heart disease prediction system ...

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

Two projects from the Arab World exemplify the potential of AI-driven approaches to disaster response and displacement monitoring.

Abstract: As the implementation of machine learning (ML) systems becomes more widespread, especially with the introduction of larger ML models, we perceive a spring demand for massive data. However, ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

SMEs are widely recognized as the backbone of Europe’s economy, yet many face persistent challenges in accessing equity ...

AI in drug discovery Artificial intelligence is rapidly transforming the way new drugs and therapeutic targets are discovered ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring Scalable ...

Zapier reports that AI automation enhances traditional automation by combining intelligent technologies, improving efficiency ...

Artificial Intelligence (AI) has become a part of everyday life. It is visible in medical chatbots that guide patients and in generative tools that assist artists, writers, and developers. These ...

ImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging ...