Artificial Intelligence trends are changing the whole world of the automobile industry, all the big players in this industry are striving hard to automate it with the help of AI-base technology to come up with the best.

Artificial Intelligence helps devices to work and learn from the sensory data which includes sounds and images.

If Artificial Intelligence would be implemented to the automobile technology, it would evaluate the contextual connections when it runs or encounters any difficulties.

The install rate of AI-based systems in new vehicles is expected to rise to 109% in 2025. This would be happening because of Artificial Intelligence is taking place in most of the systems of the automobile industry.

Automotive applications of artificial intelligence include driverless cars which capture the maximum attention, this is only one of many uses for artificial intelligence in the car industry. Have a look at artificial intelligence automotive industry trends below, to see what constituents are pushing this explosive new market.

Driverless Cars

Driverless cars were the part of science fiction movies in the past, but now it would be seen in our day to day lives all thanks to the artificial intelligence. Artificial intelligence is advancing at a great speed, even tech firms have been developing technology that can help in the installation of self-sufficient automobiles.

Some of the automotive leaders like Google and Tesla are spending millions of dollars on R&D to come up with better technology and to make autonomous cars hit the road.

The autonomous applications of artificial intelligence include driverless cars, which is only one of many uses for artificial intelligence in the automobile industry. Have a look at artificial intelligence automotive industry trends below, to see what constituents are pushing this explosive new market.

1.Cloud Computing

Cloud computing has many benefits which make it an ideal platform for staging and deploying AI technology in the automotive field, which includes analytics, big data access and centralized connectivity. As companies striving hard to develop forefront automotive technology, to develop cloud-based platforms to help them.

Here is an example of where the potential of the cloud is being applied to the partnership between General Motors and IBM’s Watson supercomputer.

GM and IBM are working on cloud-based AI platforms to make drivers’ life easier, below are the few subsequent applications which are already present or will be introduced very soon,

  • Finding gas stations and allowing the driver to pay for their fuel purchase from inside the vehicle.
  • Recognizing nearby restaurants that are related to those revisited by the driver.
  • Providing notes to buy required household items as the driver approaches relevant stores.

2. The Internet of Things

There are many intelligent devices which get connected to the internet every day from Fit Bits to monitor health to smartphones. The technology, electrical components and software will help automobile manufacturers to collaborate with software development teams and other firms in the same sector. This will promote the successful blend of cars that depend on IoT devices.

Internet of Things has made a lasting impression on the automobile industry and will be getting bigger in the coming years. In the future, the combination of artificial intelligence and IoT devices in the future will allow manufacturers to update vehicles with additional features such as:

  • predictive maintenance
  • repair scheduling
  • identification of performance issues
  • using smart sensors to identify medical emergencies
  • automatic toll collection

3. Machine Learning

Machine learning, which is a branch of artificial intelligence, completely tries to replicate the way in which humans learn and also when applied on to devices and machines, will think and act almost like human beings which are done by repetition of tasks using the past data.

Toyota has gone a step ahead and has brought together Big data, Machine Learning and Artificial Intelligence to generate highly sensitive autonomous systems that support in the movement for those to help an ageing population mobile and ensure they can still use their cars.

4.Deep Learning

Deep Learning is the process to achieve Machine Learning. It is because of Deep Learning there no possibility of any issues coming up during AI activities. DL helps split down tasks to make it easier to manage. The software in DL learns and then it starts copying the actions in the neuron layers of our brain.

DL techniques have been very useful in the automobile industry as it helps in advanced driving assistance systems and autonomous driving. Even in services where technology was not that until now, it was DL that induced in a tremendous advancement.

Lately, Nvidia and Bosch’s partnership came into the picture, they are working together to enhance the quality and characteristics of autonomous vehicles. Bosch is in a process to develop a supercomputer that will be installed in such vehicles, and Nvidia is working on to produce the Deep Learning technology to power it.

5. Infotainment Systems

Infotainment has become industry-standard a bag full of “information” and “entertainment” is the umbrella term describing the main technological interface of a car.

Artificial Intelligence develops in-vehicle infotainment systems in a better way. Because of this trend, the need for better quality hardware and software solutions has also risen because they all have to be compatible with AI.

In the infotainment, you can expect a spike in characteristics like eye tracking, speech recognition, gesture recognition, monitoring driving, and database of natural languages.

There are infotainment human-machine interfaces previously connected to vehicles to monitor and operate according to the algorithms collected from cloud-based neural networks.

6. Cognitive Capabilities

There will be not only the small cars with AI capabilities will hit the road but there will be the huge trucks with the same capabilities cruise along the streets in the future. With abilities such as pattern identification, natural language interpretation and the ability to build knowledge, cognitive analytics gives us a way to mine and make sense of this information.

Cognitive systems are assumed to work similar to a human which would interpret a real-life situation, and in order to do that, a deeper knowledge of unstructured data is required. Car manufacturers have now started incorporating this into their vehicles.

Recently, BMW has partnered with IBM to combine cognitive capabilities to its cars. Through Big Blue’s Watson AI technology, the purpose is to help vehicles interact with each other.

Conclusion

Through Artificial Intelligence skills, you can see a new breed of car driving. That happened due to a huge computational ability that is ready at their end developers have been responsible to design apps that have taken artificial Intelligence to a completely different level of perfection.