Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...

In a recent study published in the journal Nucleic Acids Research, researchers investigate whether machine learning can identify pan-cancer mutational hotspots at persistent CCCTC-binding factor ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

A University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways activated by brain tumors.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...