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
Advancements in AI, particularly in large language models (LLMs), have challenged the traditional belief that creativity is exclusive to humans. These AI systems, like ChatGPT, have demonstrated capabilities in producing poetry, entrepreneurial ideas, and visual art. This raises intriguing
The convergence of agentic AI and blockchain technology in Web3 is poised to reshape cryptocurrency trading and decentralized applications (dApps). This innovative synergy promises enhanced efficiency, security, and accessibility in the realm of digital transactions. Agentic AI, a form of
