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The twin technologies of big data and machine technology will have to work together in order to propel autonomous vehicle development forward, and industry players from automakers to chipmakers are gearing up for a long and winding road.
September 10, 2020
Artificial intelligence (AI) and machine learning have become vital tools for the production of next-generation automated vehicles, particularly because of the need to recognize and react to the nearly infinite number of scenarios encountered on real-world roads.
TUSCALOOSA, AL—Mercedes-Benz is testing a new digital production system at its assembly plant here. If successful, the automaker plans to implement the system at its factories worldwide.
Bossa Nova Robotics is one of the leaders in the retail robotics sector, providing large retailers with inventory-scanning robots that move up and down aisles, tracking inventory supply levels via computer vision and artificial intelligence.
Robots are an important piece of the Industry 4.0 puzzle. Tomorrow's smart factories will depend on new types of machines, such as collaborative and mobile devices that are interconnected. Artificial intelligence (AI), cloud computing and data analytics will also make industrial robots more reliable than ever.
MUNICH—BMW AG sees artificial intelligence (AI) as a way to improve productivity and efficiency at its assembly plants. The automaker is using the technology for a variety of quality-related applications, such as error proofing and inspection tasks.
OYSTER BAY, NY--According to a report by ABI Research, the total installed base of AI-enabled devices in the manufacturing sector will reach 15 million in 2024.
Robots and other automation technologies have greatly increased productivity in today's factories. However, they still have one major limitation: They require people to tell them what to do.
KARLSRUHE, Germany—A group of engineers at the Karlsruhe Institute of Technology are using artificial intelligence (AI) technology to develop an agile production system that can autonomously adapt to changing product specifications.
