Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

In the rapidly evolving field of machine learning, staying informed and continuously learning is essential for both ...

With cybersecurity threats increasing at an alarming speed, ransomware attacks have become more sophisticated and aggressive, leaving organizations vulnerable t ...

As a machine learning researcher, I find it fitting that reinforcement ... AlphaGo defeated top Go player Lee Sedol in a five-match game in 2016. A more recent example is the use of reinforcement ...

To do this, we take a bio-signal and artificially create gaps of a certain length—for example, one second. We then teach the machine learning algorithm to fill in the missing piece of bio-signal.

Interest in applying artificial intelligence (AI) and machine learning (ML) to chromatography is greater than ever. In this article, we discuss data-related barriers to accomplishing this goal and how ...