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) ...

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

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

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 ...

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to ...

Vaibhav Tummalapalli is using AI-driven models and scalable data platforms to help auto brands identify and convert ...

Overview: Agentic AI systems are rapidly becoming the foundation of modern automation, enabling software to plan tasks, make decisions, and interact with tools ...

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...

For many projects, the data preparation phase is the most time-consuming in the entire lifecycle. As per IBM, data scientists ...

Beamr delivered 31% file size reduction compared to baseline encodes on footage from dSPACE RTMaps. Results to be demonstrated at dSPACE User Conference, April 21-22, Novi, Michigan ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...