Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

OpenAI is rolling out new restrictions for users under the age of 18 years. If the model identify your account as under age, ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...