👉 Tough computing refers to the complex and demanding nature of modern computational tasks, particularly those involving artificial intelligence, machine learning, and large-scale data processing. These tasks often require significant computational resources, including powerful processors, vast amounts of memory, and extensive storage capacity. The intricacy arises from the need to handle massive datasets, perform intricate algorithms, and achieve high levels of accuracy and efficiency. Additionally, these computations frequently demand parallel processing capabilities to manage the sheer volume of data and the complexity of models, such as deep neural networks. As a result, optimizing algorithms, managing energy consumption, and ensuring scalability are critical challenges in the field of computing, pushing researchers and engineers to innovate continually to meet these demanding requirements.