Artificial Intelligence (AI) is significantly reshaping the employment landscape by automating routine tasks and redefining necessary skills. This transformation impacts entry-level job opportunities and requires employees to adapt by integrating new technological skills. Studies show that worker
As Saudi Arabia speeds up its adoption of artificial intelligence (AI), the nation faces a significant paradox: balancing the thirst for cutting-edge technological advancements with a pressing water scarcity issue. In a country characterized by its arid environment, this dichotomy raises a
Artificial Intelligence (AI) continues to revolutionize industries, imposing significant changes in technology and hardware needs; as AI models become more sophisticated, the demand for specialized processing units increases, prompting a shift from traditional CPUs to GPUs and NPUs. This article
Recent tests by OpenAI have identified a significant issue with new AI models hallucinating more frequently compared to older versions. The hallucination of AI refers to the generation of incorrect answers when the AI is uncertain. Specifically, tests revealed that newer models such as o3 and
The rapid strides made in Graph Neural Network (GNN) training have revolutionized how large-scale data is managed. The introduction of Capsule, a novel mechanism developed by the Data Darkness Lab (DDL) of the Medical Imaging Intelligence and Robotics Research Center at the University of Science
MIT researchers, collaborating with others, have developed improved methods for generating AI code across various programming languages. This advancement enhances the efficiency and reliability of Large Language Models (LLMs), targeting applications in molecular biology, database queries, and
