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How Autonomous Vehicles Will Benefit from AI, Machine Learning

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driverby Angela Guess

Nathan Eddy reports in InformationWeek, “Artificial intelligence and machine learning technology are burgeoning spaces in the tech industry, and a new report from analytics firm IHS indicates AI developers are increasingly focused on the autonomous vehicle space. AI systems, which continuously learn from experience by their ability to discern and recognize their surroundings, have the potential to be highly beneficial when integrated into an autonomous vehicle’s software architecture. Autonomous vehicles already rely on sophisticated radar systems and multiple cameras and sensors to analyze and adapt to a rapidly changing environment. AI could help these self-driving vehicles recognize patterns and learn from the behavior of other vehicles on the road, according to IHS.”

Eddy goes on, “The IHS report estimated unit shipments of AI systems used in infotainment and advanced driver assistance systems (ADAS) systems are expected to rise from just 7 million in 2015 to 122 million by 2025. The AI applications inherent in infotainment systems could include the abilities to direct the vehicle to a gas station if it’s running out of fuel and to recognize a faster route due to traffic conditions. The report also noted that AI applications in the infotainment category could also incorporate speech recognition, gesture recognition (including handwriting recognition), eye tracking and driver monitoring, virtual assistance, and natural language interfaces.”

Read more here.

Photo credit: Flickr/ Patrik2

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