What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way of identifying new drugs, especially for ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.

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 ...

Heart attack symptoms are sometimes similar to non-heart-related conditions, making diagnosis tricky. UK researchers have turned to machine learning to provide doctors with a fast and accurate way ...

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...

Machine learning algorithms can also predict financial risks by raising alarms about fraudulent activities. Business managers can tighten security by setting alerts including duplicate payments to ...

Ready to decode generative AI vs machine learning? Discover their differences and choose the best for your needs.

In a new article, researchers have studied the impact of a popular machine-learning pricing algorithm on the U.S. housing market. The study found that overall, the algorithm benefited the market.