An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting ...

Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...

In this modern era, healthcare organizations face escalating cybersecurity challenges as they transition to digital systems.

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...

Santhosh Kumar Shankarappa Gotur's systematic approach to performance testing and optimization provides a robust framework ...

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a ...

The pseudoscientific practice of physiognomy, dismissed as junk science centuries ago, is seeing a high-tech revival.

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a ...

The oncology field is experiencing a profound shift due to the rapid integration of artificial intelligence (AI) and machine ...

The retail industry is witnessing a paradigm shift, thanks to the transformative power of machine learning. A recent article ...

Major depressive disorder (MDD) is a debilitating mental health condition characterized by persistent low mood, loss of ...