Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.

In the past two decades, the carbon-nitrogen bond forming reaction, known as the Buchwald-Hartwig reaction, has become one of the most widely used tools in organic synthesis, particularly in the ...

The biomass higher heating value (HHV) is an important thermal property that determines the amount of recoverable energy from agriculture byproducts. Precise laboratory measurement or accurate ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

The powerful chemotherapy drug cisplatin has been used since the late 1970s to treat a variety of cancers. It's highly effective against solid tumors and is often a core element of treatment for ...

Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine learning can rapidly guess the existence of gene mutations based on images of leukemia cells. To solve ...

Machine learning is a flexible set of tools for identifying patterns and relationships in complex data and for making decisions based on those data. A machine learning model can allow a vehicle to ...

Researchers at City of Hope, and at the Translational Genomics Research Institute (TGen), have developed and tested a machine-learning approach that they suggest could one day enable earlier ...

The most popular classification models have generative artificial intelligence (Gen AI) being a subset of machine learning, and machine learning being a subset of AI. While this may technically and ...