Mubeen is a proprietary Arabic language model developed by MASARAT SA, optimized for a deep understanding of Arabic linguistics, Islamic studies, and cultural heritage. Trained on an extensive collection of authentic Arabic sources significantly expanded by digitizing historical manuscripts via a proprietary Arabic OCR engine developed by Our Team, including seminal scholarly works in linguistics, jurisprudence, hadith, and Quranic exegesis, alongside thousands of academic theses and peer-reviewed research papers and conditioned through a deep linguistic engineering framework to master not just the meaning but the eloquence of Arabic. This enables a deep and precise understanding of Arabic across all its levels from classical texts to contemporary writing and regional dialects with a focus on comprehending user intent and delivering accurate, contextually relevant responses. Unlike other Arabic models that rely on translated English data and often fail in intent detection or retrieval-augmented generation (RAG), Mubeen uses native Arabic sources to ensure cultural authenticity and accuracy. Its core innovation is the Practical Closure Architecture, designed to solve the "Utility Gap Crisis," where factually correct answers fail to resolve the user's core need, forcing them into frustrating cycles of re-prompting and clarification. By prioritizing clarity and decisive guidance, Mubeen transforms from an information repository into a decisive guide, aligning with Saudi Vision 2030. The model's architecture combines deep heritage specialization with multi-disciplinary expert modules, enabling robust performance across both cultural preservation and general knowledge domains.

As computing technology rapidly advances, there has been much discussion of the potential threats posed by artificial intelligence. But the author of a book that explores the nature of machine versus human intelligence has said some of these debates over the future of AI have been overhyped and may be distracting from more pressing issues. Junaid Mubeen, a research mathematician turned educator and author of Mathematical Intelligence: A Story of Human Superiority Over Machines, which will be published November 1, told Newsweek one of the reasons he wrote the book was that AI has generated significant amounts of publicity recently. "Some of it may be justified because there are exciting developments coming through, but much of it, I think, is overhyped," Mubeen said. "And I think there's a real risk that we're going to rush to judgment, exaggerate the capabilities of AI in the process and undermine our own human intelligence. "It was Arthur C. Clarke who said, 'Any sufficiently advanced technology is indistinguishable from magic,' and we're seeing that now," he said. Mubeen pointed to the example of the Google engineer who made headlines earlier this year after saying that a chatbot the company developed, called LaMDA (Language Model for Dialogue Applications), had acquired sentience. At the core of this kind of machine learning-based artificial intelligence, which is being used in a huge variety of applications--everything from medicine and agriculture to astronomy and robotics--is pattern recognition. Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without being explicitly programmed. "That is just one aspect of intelligence," Mubeen said. "They have the appearance of intelligence--when you're engaging with a chatbot, it can feel like you're conversing with a human.

Glancing around school classrooms in 2016, it's easy to miss just how far technology has transformed learning over the last decade. The desks, whiteboards and rows of chairs are the same, but so much else has changed that can't be seen. A third of Britain's schools are asking students to bring their own tablets and laptops into the classroom now, coding has been on the national curriculum for three years, and more and more education is happening outside school through apps and digital services. But these changes are just the start. Artificial intelligence (AI) is the next giant leap in learning and, according to those working in the field of education and technology, we haven't seen anything yet.

Glancing around school classrooms in 2016, it's easy to miss just how far technology has transformed learning over the last decade. The desks, whiteboards and rows of chairs are the same, but so much else has changed that can't be seen. A third of Britain's schools are asking students to bring their own tablets and laptops into the classroom now, coding has been on the national curriculum for three years, and more and more education is happening outside school through apps and digital services. But these changes are just the start. Artificial intelligence (AI) is the next giant leap in learning and, according to those working in the field of education and technology, we haven't seen anything yet.