Modernization is organizational archeology, uncovering causal layers of business logic and human practice that lie beneath ...

Philosophers have long been divided over the forces that drive history, precipitate transitions from one era to another, and propel some societies to greater progress while pushing others into decline ...

Discover the significance of knowledge capital, including its components like human, relational, and structural capital, and ...

What happens when massive numbers of people think they know more about a subject or are better at something than they ...

Here are the morning's top stories for Monday, December 29th, 2025: The Karuk Tribe in Northern California is crafting an environmental policy that unites traditional knowledge with more contemporary ...

Zetler claims in his affidavit dated 21.11.2025 stated in para 8.1.2: ‘I contacted Mr Isaac Benatar of Numus and advised him telephonically that Novus wanted to acquire CFDs…’ 7 See also Affidavit ...

On this Special Report, India Today Legal Correspondent Anisha Mathur details a significant development for environmental conservation as the Supreme Court stays its own November 20 judgment regarding ...

Knowledge systems refer to structured frameworks that facilitate the organization, management, and dissemination of information. They enable scientists to collaborate effectively and advance knowledge ...

The Knowledge Hub provides a single centralized platform for global education data, research and good practices. It provides national-level data, including country profiles that highlight commitments, ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Ebony Howard is a certified public accountant and a QuickBooks ProAdvisor tax expert. She ...

Abstract: Recently, ChatGPT, a representative large language model (LLM), has gained considerable attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible ...

Abstract: Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional integration of prior knowledge into the ...