What is a connected car? A connected car is more than a car.

 

 

“AI can do everything I used to do.”

This quote comes from the beginning of the book and is actually a very good summary of what AI can do and why it will be the most fascinating revolution of the next decade. In this book, Nicholas Thompson provides a comprehensive overview of the current state of AI and its implications for autonomous vehicles. It goes on to describe the history of AI, what are the main challenges currently facing AI researchers and of course the most interesting questions for researchers.

The book is organized into three parts:

• the first part deals with the great challenges of AI today. This is an extremely well-written section, as it devotes a large amount to real-world applications and delves into how different types of tasks can be broken down to progress on AI;
• the second part of the book, “The Coming World of Artificial Intelligence”, deals with the current situation of AI in terms of development and what artificial intelligence is. This part is shorter than the first, as Thompson takes a more general view of the state of artificial intelligence research and its evolution, to what extent it may become socially relevant in the future;
• the third part “The Future of AI” is where much of the body of the book is. It starts by talking about a few social impacts that AI will have, then examines the myriad ways this technology can be used to benefit society. This chapter covers the following topics: AI applications (e.g. language translation, speech recognition), AI applications for crime fighting/crime prevention, AI applications for education and training of human-powered machines. It shows how to create an autonomous vehicle using artificial intelligence and explains what we can expect from self-driving cars in the future.

The book introduces you to the various applications of artificial intelligence in society, starting with a discussion of ethics and ethical research as well as FinTech applications. You’ll hear about potential AI applications for healthcare, agriculture, and transportation. And you will learn about the problems with self-driving cars and their impact on society.

 

How an AI driver helps you save time and money with self-driving cars today

AI and machine learning can be used to positively influence the development of the autonomous automotive industry by adding a new level of automation. Thanks to recent advances in artificial intelligence, it has become possible to predict, plan and execute tasks on the road in a way that does not require a human driver. Furthermore, it is also possible for self-driving cars to understand the environment in a way that is not just a rule of thumb. However, to achieve these goals, researchers will need to analyze a large number of data sets, including car performance and the environment. For autonomous driving to work, it is necessary to be able to collect a large amount of data from the entire vehicle, especially in the event of illness or an accident. The AI ​​industry creates new jobs as well as new products and services with increased automation. The autonomous vehicle space is also expected to grow very rapidly in the future. The industry will depend on AI and machine learning, which are only a small part of the overall problem. It is important that this development process be recognized by those involved in production, research and large-scale deployment.

 

Are AI drivers changing the automotive industry forever?

Over the past year, we’ve seen efforts by GM, Intel, Tesla and others to develop self-driving vehicles. But what if the world’s biggest automaker doesn’t want to be at the forefront of self-driving? In a statement released in March 2017, Toyota said it was “investigating the technical feasibility of using automated driving systems in its cars.” He added that he “still plans to launch a car powered by automated driving systems in the future.” Toyota did not give specific reasons for its research into self-driving technology, which has been widely reported as part of its plans to build an autonomous vehicle fleet of more than 3 million vehicles. The company did not specify whether it was to develop a next-generation vehicle or an existing model.

 

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