👉 Partially computing, also known as approximate computing, is a strategy that involves intentionally sacrificing some precision in computations to achieve faster and more energy-efficient results, particularly in applications where exact accuracy is not strictly necessary. This approach is commonly used in scenarios like machine learning, graphics rendering, and data analytics, where the trade-off between speed and precision can significantly impact performance. By allowing for controlled errors, partially computing reduces the computational load, enabling systems to process larger datasets or run more complex algorithms in real-time, albeit with a potential decrease in the accuracy of the output.
