A new tool named T1GRS enables researchers to get more accurate, further-reaching risk scores for the greater population ...

Explore how machine learning is transforming the dairy industry, using AI and data-driven insights to improve efficiency, ...

Unlike traditional systems that produce a single output, ML-driven tax planning generates a set of ranked strategies.

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

In May 2026, the financial industry is grappling with a paradox: the very machine learning tools driving efficiency are becoming sources of systemic risk. With the Treasury releasing new AI risk ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

The financial industry's embrace of machine learning has reached a tipping point in 2026, moving from experimental adoption to a core operational necessity fraught with regulatory peril. Recent joint ...