Figure 2. Talent specialized in deep learning

[sujonkumar6300]

Conclusion
Deep learning is accelerating autonomous capabilities and before we know it, it will be in most vehicles. This will bring about massive changes. While no one knows for sure what will happen, it is a fact that new opportunities will be created for companies across a variety of industries: automotive, software, services, entertainment. Specifically, automotive companies need to review which space they will compete in, with which products and services, how they will design cars, how they will manage their fleet, and what their bulgaria consumer email list approach is to innovation, talent, and technology.It's all very well to talk about the possibilities of the connected car, the usage scenarios it opens up and the impact it will have on different industries. But as software developers, one of the questions we inevitably ask ourselves is: how can we develop applications for this segment? What technologies are used and where can I learn about them? What opportunities are open to external developers?

To answer these questions, let's take a look at the main areas in which connected car solutions can be built, as well as the companies behind them.

Application layers
Modern cars use software to solve a variety of problems. Although there is no standard for the different application groups, we can generally identify telematics, infotainment, instrumentation, ADAS and autonomous driving. Below I explain each one.