Even industrial and electric vehicle (EV) applications, such as motor control and battery management, have a small budget for losses in the control circuitry and cannot afford large percentage ...

Many of the aforementioned machine learning applications, including facial recognition ... This is thanks to the inclusion of dedicated, hardware-level ML accelerators within modern processors ...

Together, we will identify machine learning applications in finance and discuss both the radical transformation potential and accompanying problems. Controlling machine learning in a finance ...

This course is technical in nature. It makes use of coding in R and covers the application of machine learning in business. Some algebraic and calculus knowledge is strongly advised, but is not ...

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

December 2020 — In a partnership between IonQ and QC Ware, classical data was loaded onto quantum states to allow efficient and robust QML applications. Machine learning achieved the same level ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

"Our work focused on groundwater monitoring as a case study, but quantum machine learning has broad applications in any field ...