The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...