Ingenious e-Brain Solutions forecasts that artificial intelligence will transform the cars in the near future as many companies such as Hyundai, Lear Corporation, Yamaha, Volkswagen, and others are working around different AI algorithms and have developed their solutions at various stages (ideation or concept, prototype, pre-commercialized, and commercial). In the automotive industry, AI provides solutions to drivers or passengers to relieve stress, discomfort, anxiety, drowsiness, maintaining temperature, humidity, weather, climate, and improving visualizations. The AI technologies used are machine learning, deep learning, neural network, facial recognition, bayesian network, fuzzy logic, and classification algorithm. In this report, the use of artificial intelligence or any other computational algorithm for the wellbeing or comfort of passengers and drivers is highlighted along with some of their technology development partners, solutions from other industries such as healthcare, aerospace, entertainment, and others which can be implemented in the automotive industry are listed, along with some other sections which are listed in the table of content of the report. The key players profiled in the report are Tesla, Toyota, Volkswagen, Nio, Daimler, General Motors, BMW, Stellantis, Honda, and Hyundai.

The Society for Automotive Engineering (SAE) has identified five levels of self-driving which describe how much a particular vehicle is able to handle its own driving tasks. Level 1 means that the vehicle handles either the speed or the steering, but not both, and it requires supervision. While ordinary cruise control technically falls into this level, most people associate cruise control with adaptive cruise control, which slows down or speeds up with traffic. A Level 2 car can control the speed and the steering but the driver must still maintain full vigilance. At Level 3, the driver need not maintain total vigilance but must still be able to take control upon request.

There's an experiment going on inside Bedrock's Assembly Garage in Detroit that'll sound especially interesting for those who despise looking for parking spaces. Ford has teamed up with Bosch to demonstrate an automated valet parking technology that makes it possible for a vehicle to maneuver and park itself inside a parking structure. The demonstration project, which will last until the end of September, uses connected Ford Escape test vehicles that can communicate with Bosch sensors installed in the Assembly Garage. This driver-assist technology/sensor combo gives the test vehicles the power to find empty parking spots, to avoid objects and persons in their path and, finally, to park themselves without human intervention. With the technology in place, drivers can step out of their vehicles in a designated area and then simply use an app to start the automated parking process.

It is gradually finding its way to the public and private board room discussions and government policies. Even countries like Germany, which were lagging in the AI race, have gone through tremendous change in the past few years. According to PwC research, by 2030, Germany alone shall have Gross Domestic Product (GDP) up by 11.3% and generate €430 billion due to AI. And by percentage, this potential is more than most of the other European Nations. This makes the country as Europe's largest economy, with a thriving market and high potential for new to market brands. The study also that industries like healthcare, energy, and the auto industry will benefit from significant productivity gains by adopting AI applications.

History will be written on Nov. 4 at the VW plant in Zwickau, Germany. Anyone lucky enough to recently visit the factory, which is sealed behind blue rolling doors, entered into a secret world, a hidden industrial laboratory to which only a few Volkswagen employees have access. In its "ghost run," or test operation, orange-colored robots run by highly complex programs and aided by humans and machines assembled eight electric model-ID.3 Serial production is now set to begin on Nov. 4. Depending on how you see it, this marks either the beginning or the end of an era. In the future, 1,500 electric Volkswagen cars are to roll off the assembly line at the plant in the eastern state of Saxony every day, a total of 330,000 vehicles every year, in what the company describes as the "largest and most efficient electric car factory in Europe." The designers of the new compact, C-class ID.3 want to make it a 21st century icon, just as the VW Beetle and VW Golf were in their heydays. That's advertising language, of course, but even from a neutral perspective, it is difficult to overestimate the significance of what is happening: In Zwickau, Volkswagen is ringing the death knell for the combustion engine.

Marc Winter from Daimler explains the concept of continuous intelligence as a feedback loop to AI, deep mining and machine learning.

Throughout the expansion of blockchain into enterprise usage, there has been a steady'arms' race developing between vehicle manufacturers looking to integrate the technology for better efficiencies. Automobile production has long been at the forefront of technological advances, and thus, it makes sense that brands like Mercedes, BMW, Daimler, GM, and a host of others would be driving adoption. The ability of the blockchain to be applied in so many different sectors and the reliance on automobile production on an array of niches means that this match has a lot of potentials that are just starting to be tapped. The likes of BMW and Ford are backing the blockchain to ensure responsible sourcing of cobalt for their manufacturing; Daimler is piloting machine-to-machine payments using a blockchain platform without any human interaction; GM has a patent out for a blockchain-powered solution to manage data from autonomous vehicles; the list goes on, and is very broad. The drive from car manufacturers into the blockchain space may not grab the same headlines as when Google, Facebook, IBM, and other tech giants delve into the new space, but this ongoing push to integrate the technology is essential and vital for growth.

A decade ago, the thought of self-driving cars was far from reality, but with 2020 looming large, massive strides have been made in the field of autonomous vehicles. Meanwhile, in the space of a decade, Bitcoin has thrust cryptocurrencies and blockchain technology into the mainstream consciousness. The latter has become a tool that is quickly being integrated into the world of finance, governance, logistics as well as the motor industry. Some of the world's leading automobile companies have been exploring the applications of blockchain technology and how it can be used to improve vehicles, the systems that operate them as well as how they interact with the world around them.So how is blockchain being used to drive the development of autonomous vehicles around the globe? As recently as August 2019, Daimler carried out a test run in which trucks made machine-to-machine payments using a blockchain platform without any human interaction.

Daimler is no longer going to sell its eye-catching small Smart Fortwo electric cars in North America. The company told TechCrunch that the 2019 model will be the last to be available in the United States and Canada, just two years after deciding to stop selling the gas-powered version of the vehicles in the region. Daimler plans to instead focus on launching its Smart line in China. Existing Fortwo owners will still be able to get their cars serviced by Smart or at authorized Mercedes-Benz dealerships. Production of the Fortwo in North America is expected to come to an end in June, but the Smart brand will continue on elsewhere.

Fully autonomous vehicles will take at least another five years to perfect, with the cost and complexity of rolling out the technology globally serving to undermine the business case, Volkswagen's head of commercial vehicles said. Autonomous cars require high-tech infrastructure, hugely expensive lidar and radar systems, as well as pricey deals with cloud computing and mapping providers, VW's Thomas Sedran told Reuters on the sidelines of the Geneva motor show [on March 5]. "It will take another five years to develop the technology to achieve higher levels of autonomy. Can you see a business case which justifies these overheads for this period of time? It's just too expensive," Sedran said.