👉 Fisting computing, also known as fisting or fuzzy computing, is a concept that involves using neural networks to perform low-level computations directly on hardware devices, bypassing traditional software-based processing. This approach leverages specialized hardware like GPUs or TPUs to execute neural network operations in real-time, reducing latency and improving efficiency. By fisting computations into the hardware, it minimizes data transfer between the device and the cloud, which can be a bottleneck in conventional computing. This method is particularly useful for applications requiring immediate responses, such as autonomous vehicles, robotics, and real-time image processing, where speed and low latency are critical. Essentially, fisting computing aims to bring the computational power closer to the data source, optimizing performance and resource utilization.
