👉 Vector computing is a paradigm that leverages the power of vectorized operations to process multiple data points simultaneously, rather than sequentially as in traditional scalar computing. This approach is particularly beneficial for machine learning and deep learning applications, where large datasets and complex mathematical operations are common. By representing data as vectors, vector computing enables efficient parallel processing, significantly accelerating tasks such as matrix multiplications and neural network training. This method not only enhances computational speed but also reduces energy consumption, making it an attractive solution for handling the growing demands of data-intensive applications.
