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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

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

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

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

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

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

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

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 ...

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...