Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

Green transformation in manufacturing is becoming a global focus. To address shortcomings in current single-dimensional energy evaluation methods, the study ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly growing data-center industry. Critics note that Virginia hosts one of the ...

Sweden uses common salt to de-ice its roads in winter, contrary to online posts that say it uses a new beet extract salt, the country’s Transport Administration has said. Posts shared on social media, ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.

Note The agentic-doc Python library is now legacy. Please migrate to the new landingai-ade library, which is now the official Python library for Agentic Document Extraction and supports our newer API ...