Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

There's a paper in the journal PLoS Computational Biology that is incredibly significant to folks thinking through the intersection of human-computer interaction and learning or entertainment.

Including prediction stability as a parameter when using machine learning to design functional biological sequences can significantly improve the selection pool of antibodies, according to a recent ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

For a topic that generates so much interest, it is surprisingly difficult to find a concise definition of machine learning that satisfies everyone. Complicating things further is the fact that much of ...

Munich Center for Machine Learning (MCML) has the following research output in the current window (1 August 2024 - 31 July 2025) of the Nature Index. Click on Count to view a list of articles ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Sharon Hewner, a professor at the University at Buffalo School of Nursing, PhD student Erica Smith, and alumna and UB nursing research associate professor Suzanne Sullivan, who is also an associate ...