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

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

It is no doubt that everyone has come in contact with Machine Learning (ML) algorithms, perhaps without knowing that they have or what those algorithms are. For example when you are making a ...

Machine learning is a powerful tool that can be used to solve a variety of problems. However, it is important to note that machine learning algorithms are only as good as the data they are trained on.

ADELPHI, Md.-- Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms will play a significant role in enhancing ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

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 ...

For our getting-dressed example, a machine learning algorithm would be the equivalent of your remembering past decisions about what to wear, knowing how comfortable you feel wearing each item, and ...

Like hey, machine learning. Oh yeah. Gary Illyes: But basically, if you publish an article with a title like machine learning is now in Penguin or Penguin generated by machine learning it’s like….

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...