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The Place of Machine Learning and Artificial Intelligence in the Automotive Industry

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When it comes to vehicles, dials and switches are used to control everything. As the automotive industry evolves, so do its norms. Today, we are rapidly moving towards a world of shared and self-driving cars. Automotive manufacturers implement a range of human-machine interface technologies (HMIs), including voice controls, interior-facing cameras, touch-sensitive surfaces, and smarter, personalized platforms. Voice control is among the most preferred interfaces with the most significant percentage of HMIs since it allows hands-free control and, therefore, less distraction from the road. Other examples include multifunctional controllers, touchscreens, and head-up displays. Autonomous driving has been the central concern of the automotive industry for quite some time. This revolutionary concept wouldn't be possible without the help of Artificial Intelligence.


How AI is Changing the Mobility Landscape - DATAVERSITY

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Click here to learn more about Gilad David Maayan. There are a significant number of investments in the automotive industry nowadays. The majority of these investments focus on artificial intelligence (AI) and the optimization of self-driving technology. Meanwhile, new mobility systems and players are making their way into the automotive market. Tesla is trying to improve its autopilot system, Uber is testing robo-taxis, and Google is developing self-driving cars.


5 Ways Artificial Intelligence is Impacting the Automotive Industry - Ignite Ltd.

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When you think of AI applications in the automotive industry, you might first think of self-driving cars. But AI can do more than drive. It can keep us connected, on schedule, and safe even when we are driving ourselves. That all adds up to big business. The value of artificial Intelligence in automotive manufacturing and cloud services will exceed $10.73 billion by 2024.


The Best Automotive News in April - EE Times Asia

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So much happened in the auto industry this month it can't fit in one column; I whittled it down to the things that interested me. There is a lot of variety by topic -- from Auto Shanghai to a new operating system to an interesting DARPA story to the European Union proposal for AI use regulation. These ten stories are summarized in the following table. Auto Shanghai Auto Shanghai is among the world's largest auto shows and is the first auto show to be held after the pandemic. The attendance is expected to reach about 1 million people and around 1,000 exhibitors.


Guide to autonomous vehicles: What business leaders need to know ZDNet

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This ebook, based on the latest ZDNet / TechRepublic special feature, examines how driverless cars, trucks, semis, delivery vehicles, drones, and other UAVs are poised to unleash a new level of automation in the enterprise. Few technologies have been more anticipated heading into the 2020s than autonomous vehicles. Tantalizingly close and yet still perhaps decades from market adoption in some use cases, the technology is as promising as it is misunderstood. You've heard the consumer hype, but what gets less ink are the transformative changes that autonomous vehicles will bring -- in some cases already are bringing -- to the enterprise. Affecting sectors as disparate as shipping and logistics, energy, agriculture, transportation, construction, and infrastructure -- to name just a few -- it's hard to overstate the impact of the diverse and versatile set of technologies lumped into the decidedly broad category of'autonomous vehicles'. This guide will help you sort the hype from the business reality and tell you all you need to know about the autonomous vehicle revolution on the ground, in the air, and even at sea. In 1939, General Motors predicted we'd have an autonomous vehicle highway system up and running by the dawn of the 1960s. As with a lot of autonomous vehicle hype, that prediction was a tad premature, but it demonstrates the long history of autonomous vehicle development.