Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

A 2025 study shows that an AI-based tutor improves learning when it prompts reasoning and is paired with peer discussion.

Seventeen-year-old Vishnu Kannan’s love for math and problem solving led him to become the founder of a tech startup, which ...

Corporate leaders often look to AI for breakthrough innovations, but a faster and more reliable payoff lies in using it to ...

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...

This year, the Trump administration took several federal actions with widespread implications for the nation’s English learners, a fast-growing student population whose education often hinges on ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

Teachers’ and students’ use of artificial intelligence in K-12 classrooms is increasing at a rapid pace, prompting serious concerns about the potentially negative effects on students, a new report ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...