How has Machine Learning integrated into the Automotive industry?
Although Machine Learning isn’t a new term within Technology, the Automotive Industry is beginning to embrace the benefits that AI and Machine Learning can have, and is looking very promising.
What is Machine Learning?
To put it simply, Machine Learning is a field within Artificial Intelligence, and is a type of technology that allows a machine to imitate or ‘learn’ human behaviours and to solve complex problems.
How has it been integrated into the Automotive industry?
There are a number of reasons, including…
Autonomous vehicles
Algorithms are used to develop self-driving cars. These algorithms analyse sensor data, such as cameras, radar, and lidar, to make decisions about driving.
Predictive maintenance
The same algorithms are used to predict when a vehicle will need maintenance based on data from sensors, telematics systems, and other sources. This can help reduce downtime and costs.
Fuel efficiency
The algorithms can be used to optimize engine and transmission control systems, reducing fuel consumption and emissions.
Advanced driver assistance systems (ADAS)
Systems have been developed so that assist drivers with tasks such as lane departure warning, adaptive cruise control, and automatic emergency braking.
Market forecasting
Finally, Machine Learning algorithms are used to analyse sales data and predict future demands for different vehicle models and components.
It looks like the Automotive industry is benefitting from improved safety, reducing emissions and increasing driver convenience.
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