siliconindia | | December 20199AI enabled applications are widely being used in the automotive manufacturing floorus to make better vehicles in terms of safety, energy usage performance and using fewer natural resources. This approach will be a key to benefit the society, as we can make rational de-cisions to efficiently use the limited natural resources and energy made available in a fast-growing world.There are already multiple exam-ples that show how the introduction of AI in productive processes has had a positive impact on an industry. Take for example the automotive industry which has always pioneered in adopt-ing modern technologies.AI enabled applications are wide-ly being used in the automotive manufacturing floor. From creating schedules and managing workflows, enabling robots to work alongside workers on assembly lines, AI-sys-tem are making automotive plants more efficient by helping them reduce costs and downtime, while delivering better finished products to customers. Popular are Cobots, abbreviation of a collaborative robot. They are intend-ed to work alongside humans and collaborate with them in a specific task. They can perform an extensive amount of functions, from logistic work to inspection robots equipped with a camera.AI systems also have become well-advanced in identifying defects on the manufacturing floor. Intelli-gent hardware can visually inspect and provide quality checks on man-ufacture and assembly processes to eliminate any possible defects on the finished products.Automotive processes involving extremely complex supply chains that span much geography, AI-driv-en systems help predict interactions between production units and auto-mate requests for parts, tools, labour and repairs. AI-systems with its pre-dictive maintenance capabilities also ensure there are minimal glitches or breakdowns in systems which can become extremely costly for automo-tive manufacturing companies.AI Enabling New-Age Driving SystemsAI-systems ability to recognize a large number of different situations and react to them appropriately has resulted in fast-paced evolution of automated driving systems. Classic development approaches eventually come up against their limitations and cannot cover every situation. This is where AI can enable the system to record unknown situations, evaluate them and then derive from them an appropriate driving strategy.When it comes to advanced driv-er assistance systems (ADAS) of today, vehicles have to interact with a constantly changing complex en-vironment. On one hand, there are rules and models (e.g. red traffic lights, physical laws) that can be im-plemented in software. On the other hand, driving a vehicle requires a lot of `experience' (how does a pedestri-an look like, when and how to change a lane in a comfortable way) ­ this experience is difficult to program in code. To `implement' Experience, AI-enabled machine learning shows significant performance improve-ments, making possible the new-age ADAS features.In fact, the AI industry will even-tually become bigger than the auto-mobile industry today, because auto-mobile will become a robot. We will talk to it, we will argue with it, we will have discussions with the car about best route to take. When you want to park the car, you simply tell your car park yourself. This is going to revolutionize urban economics when you don't have to worry about parking anymore.It is certainly possible to say that any industry that does not adapt fast enough to the new technologies will become inefficient and obsolete with time.Concerns There are however multiple concerns about the adoption of robotics and AI. The biggest of them revolves around security. Since robotics and AI are employed in working fields such as hospitals and say for automated driving systems, protection of these systems from external cyber-attacks is pivotal. Another one of the biggest de-bates about the employment of robot-ics in factories is the lack of human traits, such as emotions, creativity and empathy. These values are highly rated by employers in many working fields. These considerations could be easily resolved with the introduction of new policies regulating the use of new technologies. Particular atten-tion should be given to the formation of a properly skilled workforce. Ad-ditionally, the introduction of AI and robotics can cause further inequal-ities between developed and devel-oping countries. This last challenge can be overcome mainly through in-ternational cooperation to share new technological patents.
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