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• Sensors: This technology detects environmental conditions and provides information to the vehicle’s operating systems so that it can analyze and react to road conditions. • Artificial intelligence (AI): AI is the simulation of human intelligence (perceiving, reasoning, learning, problem-solving, etc.) by machinery and computer systems. AI-enabled machinery and computer systems do so by collecting (via cameras and sensors) and assessing vast amounts of information as a vehicle travels along a street or highway. Deep learning, a subspecialty of AI, is used to create behavioral models that help the computer to learn how to react to a variety of road situations (heavy traffic, a pedestrian crossing the road, etc.) and conditions (daylight, night driving, snow, rain, etc.). As it gathers information and learns from its mistakes, the computer improves its performance level.

DID YOU KNOW? Alphabet’s driverless car company Waymo recently announced that its vehicles have driven a collective 10 million miles (16,093,440 kilometers) on U.S. roads .

It’s estimated that hundreds of automotive, tech, and transportation network companies are currently developing driverless vehicles or related technology. This group includes General Motors, BMW, Waymo, Uber, Lyft, Toyota, Tesla, NVIDIA, Intel, Samsung Semiconductor, Lucid Motors, Honda, Hyundai, Kia, Jaguar, Mazda, Mitsubishi, Ford Motors, Nissan, Audi, Aurora, and Baidu. By 2025, the worldwide market for partially autonomous vehicles is expected to reach $36 billion, according to Statista.com. In this same year, the market

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