River flow: New machine learning methods could improve environmental predictions Algorithm is 'taught' rules of the physical world to help researchers make better predictions Date: June 23, 2021 ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Diffuse correlation spectroscopy and a machine learning algorithm can provide continuous blood pressure feedback, enabling ...

Machine Learning for Wind Flow Modelling About the project or challenge area Wind-flow models are key tools in describing how a wind resource varies across a wind farm project area. Existing ...

An Almost Perfect Sepsis Diagnosis Diagnosing sepsis is challenging. However, a new method involving metagenomic next-generation sequencing (mNGS) and machine learning was able to identify 99% of ...

We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...