👉 Approx computing, also known as approximate computing, is a technique used in digital systems where the goal is to trade off precision for performance and efficiency. Traditional computing aims for exact arithmetic, which can be resource-intensive and slow, especially in real-time or high-throughput applications. Approximate computing relaxes this requirement by allowing certain calculations to be performed with reduced precision, such as using floating-point numbers instead of fixed-point or binary representations. This approach can significantly reduce power consumption, increase processing speed, and lower hardware costs, making it particularly useful in applications like image and video processing, machine learning, and embedded systems where exact precision is not always necessary but performance and energy efficiency are paramount. By accepting small errors, approximate computing enables more efficient and scalable solutions in modern computing environments.
