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

ML teams can define, govern, and serve features across environments with stronger control over multi-tenancy, security, deployment, and change managementSAN FRANCISCO, April 20, 2026 (GLOBE NEWSWIRE) ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

The legal AI software market is poised for growth due to rising AI adoption in legal services, driving efficiency.

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

The researchers argue that traditional centralized learning platforms are no longer equipped to handle the scale, speed, and ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

As large models, reliable robotic hardware, and real-world data flywheels converge, embodied AI is rapidly evolving into a new production infrastructure. Building on the industry's shift from ...

RAN, Aji Ed, outlines the fundamental architectural differences between traditional RAN and AI-RAN, explaining how the shift ...

A new AI-enhanced framework combines machine learning validation with life-cycle assessment to cut plastic waste emissions by ...