Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

At Pariksha Pe Charcha 2026, PM Modi encouraged curiosity-driven learning, balanced skill development and a stress-free approach to exams.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Many new teachers step into classrooms that still reflect traditional, teacher-centered models. These classrooms often place the teacher at the front, the curriculum at the center, and students in the ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...