futureoftech (2)

31061993853?profile=RESIZE_400xLarge language models have become the engines behind some of the most impressive feats in contemporary computing.  They write complex software, summarize scientific papers, and navigate intricate chains of reasoning.  Yet as a recent study shows, these same systems falter on a task that most ten-year-olds can perform with pencil and paper.  According to a new article from TechXplore and the accompanying research paper Why Can’t Transformers Learn Multiplication?  Reverse-Engineering Reveals Long

31000889871?profile=RESIZE_400xThe quantum technology landscape is rapidly evolving from speculative science to a tangible economic powerhouse, with experts forecasting a market worth up to $97 billion by 2035.  According to a major McKinsey report, quantum computing, communication, and sensing could generate as much as $97 billion in global revenue within a decade, making 2025 a pivotal year in the transition from concept to deployment.  McKinsey's analysis highlights a decisive shift in 2024, in which the focus shifted from