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Jaguar Land Rover have announced that they are to build a ‘self-learning’ car which monitors your lifestyle and can even predict your next move. 

The latest artificial intelligence technology and recognition software can recognise each driver and passengers and tailor the car’s interior to whoever’s in it, remembering personal preferences for seat adjustment, temperature and even which type of music the driver likes. 

In addition, Jaguar Land Rover have said that the cutting-edge technology will offer a completely personalised driving experience and help to prevent accidents by reducing driver distractions. 

The car will also remember the driver’s unique driving style and change the setup to reflect this, and will schedule appointments in your calendar, giving hints and reminders to drivers about everything from picking up the shopping to going to the gym. 

Time of day, traffic and weather conditions will also be taken into consideration and the car will adjust accordingly, allowing the driver to concentrate on the road ahead while the car takes care of the rest. 

Dr Wolfgang Epple, director of research and technology for Jaguar Land Rover, said: “The aim of our self-learning technology is to minimise driver distraction, which will help reduce the risk of accidents. 

“Up until now most self-learning car research has only focused on traffic or navigation prediction. 

We want to take this a significant step further and our new learning algorithm means information learnt about you will deliver a completely personalised driving experience and enhance driving pleasure.” 

In addition to personalising the interior, the intelligent car will predict your journey and bring up relevant navigation information based on your history, will suggest nearby fuel stations, predict who you are likely to phone in certain situations and alert you if it feels you’re going to be late for appointments or engagements. 

The self-learning car is still firmly in the development stage, though Dr Epple said that he expects that the technology could reach the market within the next 10 years.

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