Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Future of work technology and AI automation jobs reshaping work through task displacement, skill shifts, and human-AI ...

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.

Indian American researcher investigating what happens when AI agents leave the digital world for the physical world.

One panel, “Reimaging Work in the Age of AI Agents,” focused on the ongoing rise of agentic AI in the workplace. Right off ...

Modern ERP platforms are becoming smarter, more adaptive, and far more predictive, unlocking capabilities that were nearly impossible just a few years ago. For organizations looking to stay ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

Barbara is a tech writer specializing in AI and emerging technologies. With a background as a systems librarian in software development, she brings a unique perspective to her reporting. Having lived ...