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

Microsoft is rolling out "scareware blocker," which uses machine learning to identify a very specific and pervasive type of ...

While traditional data science practices have paved the way for critical insights and informed decision-making, AI has ...

Depression impacts an estimated 18 million Americans each year, yet depression screening rarely occurs in the outpatient ...

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

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

The chemical industry could dramatically cut its energy consumption by using machine learning to guide chemical purification ...

A collaboration between the Ragon Institute and MIT’s Jameel Clinic has led to the development of MUNIS, a deep learning tool that significantly enhances T cell epitope prediction, accelerating ...

Meta AI has announced LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges ...

Traditional biodiversity monitoring methods, such as direct observations and morphological classifications, often fall short ...

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