How Real-time Machine Learning Can Make The Self-driving Cars More Smart

Real-time machine learning and compression techniques are essential for the advancement of self-driving technology. These techniques enable vehicles to make split-second decisions, such as predicting a pedestrian’s movements or adjusting paths for cyclists. Advanced machine learning models play a crucial role in recognizing pedestrians, predicting movements, and navigating complex traffic situations. Compression reduces the size of data sets and algorithms without significantly compromising their functionality, ensuring that complex machine learning models can be implemented in real-time within vehicles.