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.

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 ...

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.

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 algorithms utilize this information to provide tools for the assessment of the level of excessive training marked by fatigue, appropriate rest periods, and individualized fitness ...

Automation. Machine learning can also be used to automate manufacturing processes. For example, robots that are equipped with machine learning algorithms can be trained to perform tasks such as ...

Swiss poet and preacher Johann Kaspar Lavater brought back an ancient “science.” Physiognomy, the idea of judging someone’s personality based on their face, was not a new idea. It had been discussed ...

Machine learning is a field of artificial intelligence (AI) that keeps a computer’s built-in algorithms current regardless of changes in the worldwide economy. Key Takeaways ...

Conventional metrics used to evaluate stocks may not apply to technology stocks. We used machine-learning techniques to analyze the associations between over a hundred financial metrics and ...