A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

Today our grumpy guru Leo discusses the topics of Net Neutrality, Nvidia enabling Machine Learning on the Titan, Kaspersky ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...

Interview Kickstart, a U.S.-based upskilling platform for software and data professionals, has introduced its Machine ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

While machine learning can help manage many of these complexities facing marketing teams at telcos, it’s not the starting ...

Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...