When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

Mr. Ingram’s startup, Lodebar, feeds high-frequency market data into a machine-learning algorithm that turns it into jazz.

Your immune system harbors a lifetime's worth of information about threats it's encountered - a biological Rolodex of baddies. Often the perpetrators are viruses and bacteria you've conquered; others ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

The impact of AI systems cannot always be attributed to epistemic or ethical failures. Much of their impact can appear initially ethically neutral in the absence of obvious harm. A separate set of ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same.