Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Artificial intelligence (AI) is revolutionising the field of drug discovery and disease modelling, with a significant impact ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to language for AI because it’s relatively easy to learn and has a massive library of ...

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...