Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Niazi used those novel tools to generate an image that was not in the training dataset ... and third-year Ph.D. student Shaila Niazi, who used p-bits to create images that were not part of a ...

In their study, Gambini and her colleagues looked to machine-learning algorithms, systems that learn to perform tasks by processing training data. In this case, the team explored whether machine ...

For the algorithm training, the participating teams had access to a large annotated PET/CT dataset. All algorithms submitted for the final phase of the competition are based on deep learning methods.

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...