Deep learning, a specialized branch of ML, uses artificial neural networks with multiple layers to analyze vast amounts of data. It excels in image and voice recognition, autonomous vehicles, and natural language processing (NLP), mimicking human decision-making with greater accuracy. Web 3.0 and AI
Autonomous driving technology is another key area of transformation, with advancements in artificial intelligence, sensor fusion, and LiDAR systems pushing the boundaries of self-driving capabilities. Companies like Waymo, Tesla, and NVIDIA are developing advanced driver-assistance systems (ADAS) that improve road safety and driving efficiency. Levels of automation, ranging from Level 1 (basic assistance) to Level 5 (full autonomy), are being integrated into modern vehicles, with semi-autonomous features like adaptive cruise control and lane-keeping assist becoming standard in many models. The future of self-driving cars depends on regulatory approval, infrastructure improvements, and AI reliability, but the industry is steadily moving towards fully autonomous mobility. IBM quantum computer
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